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Michiel Bliemer

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

RePEc Biblio mentions

As found on the RePEc Biblio, the curated bibliography of Economics:
  1. Milad Haghani & Michiel C. J. Bliemer, 2020. "Covid-19 pandemic and the unprecedented mobilisation of scholarly efforts prompted by a health crisis: Scientometric comparisons across SARS, MERS and 2019-nCoV literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2695-2726, December.

    Mentioned in:

    1. > Economics of Welfare > Health Economics > Economics of Pandemics

Working papers

  1. Milad Haghani & Michiel C. J. Bliemer & John M. Rose & Harmen Oppewal & Emily Lancsar, 2021. "Hypothetical bias in stated choice experiments: Part I. Integrative synthesis of empirical evidence and conceptualisation of external validity," Papers 2102.02940, arXiv.org.

    Cited by:

    1. Haghani, Milad & Bliemer, Michiel C.J. & Rose, John M. & Oppewal, Harmen & Lancsar, Emily, 2021. "Hypothetical bias in stated choice experiments: Part II. Conceptualisation of external validity, sources and explanations of bias and effectiveness of mitigation methods," Journal of choice modelling, Elsevier, vol. 41(C).
    2. Jiang, Qi & Penn, Jerrod & Hu, Wuyang, 2022. "Real payment priming to reduce potential hypothetical bias," Journal of choice modelling, Elsevier, vol. 45(C).
    3. Keiko Aoki & Kenju Akai, 2022. "Testing hypothetical bias in a choice experiment: An application to the value of the carbon footprint of mandarin oranges," PLOS ONE, Public Library of Science, vol. 17(1), pages 1-26, January.
    4. Haghani, Milad & Bliemer, Michiel C.J. & Hensher, David A., 2021. "The landscape of econometric discrete choice modelling research," Journal of choice modelling, Elsevier, vol. 40(C).
    5. Tsoleridis, Panagiotis & Choudhury, Charisma F. & Hess, Stephane, 2022. "Deriving transport appraisal values from emerging revealed preference data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 165(C), pages 225-245.
    6. Sergio Colombo & Wiktor Budziński & Mikołaj Czajkowski & Klaus Glenk, 2022. "The relative performance of ex‐ante and ex‐post measures to mitigate hypothetical and strategic bias in a stated preference study," Journal of Agricultural Economics, Wiley Blackwell, vol. 73(3), pages 845-873, September.
    7. Gómez-Limón, José A. & Granado-Díaz, Rubén, 2023. "Assessing the demand for hydrological drought insurance in irrigated agriculture," Agricultural Water Management, Elsevier, vol. 276(C).
    8. Haghani, Milad & Bliemer, Michiel C.J. & de Bekker-Grob, Esther W., 2022. "Applications of discrete choice experiments in COVID-19 research: Disparity in survey qualities between health and transport fields," Journal of choice modelling, Elsevier, vol. 44(C).
    9. Raman, Shyam & Kriner, Douglas & Ziebarth, Nicolas & Simon, Kosali & Kreps, Sarah, 2022. "COVID-19 booster uptake among US adults: Assessing the impact of vaccine attributes, incentives, and context in a choice-based experiment," Social Science & Medicine, Elsevier, vol. 310(C).

  2. Milad Haghani & Michiel C. J. Bliemer & John M. Rose & Harmen Oppewal & Emily Lancsar, 2021. "Hypothetical bias in stated choice experiments: Part II. Macro-scale analysis of literature and effectiveness of bias mitigation methods," Papers 2102.02945, arXiv.org.

    Cited by:

    1. Keiko Aoki & Kenju Akai, 2022. "Testing hypothetical bias in a choice experiment: An application to the value of the carbon footprint of mandarin oranges," PLOS ONE, Public Library of Science, vol. 17(1), pages 1-26, January.
    2. Haghani, Milad & Bliemer, Michiel C.J. & Hensher, David A., 2021. "The landscape of econometric discrete choice modelling research," Journal of choice modelling, Elsevier, vol. 40(C).
    3. Guevara, C. Angelo & Figueroa, Esteban & Munizaga, Marcela A., 2021. "Paving the road for electric vehicles: Lessons from a randomized experiment in an introduction stage market," Transportation Research Part A: Policy and Practice, Elsevier, vol. 153(C), pages 326-340.

  3. Dusica Joksimovic & Michiel Bliemer & Piet Bovy, 2005. "Dynamic road pricing optimization with heterogeneous users," ERSA conference papers ersa05p427, European Regional Science Association.

    Cited by:

    1. Cipriani, Ernesto & Mannini, Livia & Montemarani, Barbara & Nigro, Marialisa & Petrelli, Marco, 2019. "Congestion pricing policies: Design and assessment for the city of Rome, Italy," Transport Policy, Elsevier, vol. 80(C), pages 127-135.
    2. Ohazulike, Anthony E. & Still, Georg & Kern, Walter & van Berkum, Eric C., 2013. "An origin–destination based road pricing model for static and multi-period traffic assignment problems," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 58(C), pages 1-27.

  4. Dirk Van Amelsfort & Michiel Bliemer, 2005. "Valuation of uncertainty in travel time and arrival time - some findings from a choice experiment," ERSA conference papers ersa05p721, European Regional Science Association.

    Cited by:

    1. Tseng, Yin-Yen & Verhoef, Erik T., 2008. "Value of time by time of day: A stated-preference study," Transportation Research Part B: Methodological, Elsevier, vol. 42(7-8), pages 607-618, August.
    2. Ning, Yuqiang & Du, Lili, 2023. "Robust and resilient equilibrium routing mechanism for traffic congestion mitigation built upon correlated equilibrium and distributed optimization," Transportation Research Part B: Methodological, Elsevier, vol. 168(C), pages 170-205.

Articles

  1. Loder, Allister & Bliemer, Michiel C.J. & Axhausen, Kay W., 2022. "Optimal pricing and investment in a multi-modal city — Introducing a macroscopic network design problem based on the MFD," Transportation Research Part A: Policy and Practice, Elsevier, vol. 156(C), pages 113-132.

    Cited by:

    1. Schröder, Daniel & Kirn, Lukas & Kinigadner, Julia & Loder, Allister & Blum, Philipp & Xu, Yihan & Lienkamp, Markus, 2023. "Ending the myth of mobility at zero costs: An external cost analysis," Research in Transportation Economics, Elsevier, vol. 97(C).
    2. Xu, Guanhao & Gayah, Vikash V., 2023. "Non-unimodal and non-concave relationships in the network Macroscopic Fundamental Diagram caused by hierarchical streets," Transportation Research Part B: Methodological, Elsevier, vol. 173(C), pages 203-227.
    3. Schubert, Daniel & Sys, Christa & Vanelslander, Thierry & Roumboutsos, Athena, 2022. "No-queue road pricing: A comprehensive policy instrument for Europe?," Utilities Policy, Elsevier, vol. 78(C).
    4. Allister Loder & Fabienne Cantner & Lennart Adenaw & Nico Nachtigall & David Ziegler & Felix Gotzler & Markus B. Siewert & Stefan Wurster & Sebastian Goerg & Markus Lienkamp & Klaus Bogenberger, 2023. "Germany's nationwide travel experiment in 2022: public transport for 9 Euro per month -- First findings of an empirical study," Papers 2306.08297, arXiv.org.

  2. Haghani, Milad & Bliemer, Michiel C.J. & Rose, John M. & Oppewal, Harmen & Lancsar, Emily, 2021. "Hypothetical bias in stated choice experiments: Part I. Macro-scale analysis of literature and integrative synthesis of empirical evidence from applied economics, experimental psychology and neuroimag," Journal of choice modelling, Elsevier, vol. 41(C).

    Cited by:

    1. Haghani, Milad & Bliemer, Michiel C.J. & Rose, John M. & Oppewal, Harmen & Lancsar, Emily, 2021. "Hypothetical bias in stated choice experiments: Part II. Conceptualisation of external validity, sources and explanations of bias and effectiveness of mitigation methods," Journal of choice modelling, Elsevier, vol. 41(C).
    2. Jiang, Qi & Penn, Jerrod & Hu, Wuyang, 2022. "Real payment priming to reduce potential hypothetical bias," Journal of choice modelling, Elsevier, vol. 45(C).
    3. Gómez-Limón, José A. & Granado-Díaz, Rubén, 2023. "Assessing the demand for hydrological drought insurance in irrigated agriculture," Agricultural Water Management, Elsevier, vol. 276(C).
    4. Haghani, Milad & Bliemer, Michiel C.J. & de Bekker-Grob, Esther W., 2022. "Applications of discrete choice experiments in COVID-19 research: Disparity in survey qualities between health and transport fields," Journal of choice modelling, Elsevier, vol. 44(C).
    5. Raman, Shyam & Kriner, Douglas & Ziebarth, Nicolas & Simon, Kosali & Kreps, Sarah, 2022. "COVID-19 booster uptake among US adults: Assessing the impact of vaccine attributes, incentives, and context in a choice-based experiment," Social Science & Medicine, Elsevier, vol. 310(C).

  3. Haghani, Milad & Bliemer, Michiel C.J. & Rose, John M. & Oppewal, Harmen & Lancsar, Emily, 2021. "Hypothetical bias in stated choice experiments: Part II. Conceptualisation of external validity, sources and explanations of bias and effectiveness of mitigation methods," Journal of choice modelling, Elsevier, vol. 41(C).

    Cited by:

    1. Jiang, Qi & Penn, Jerrod & Hu, Wuyang, 2022. "Real payment priming to reduce potential hypothetical bias," Journal of choice modelling, Elsevier, vol. 45(C).
    2. Haghani, Milad & Bliemer, Michiel C.J. & Rose, John M. & Oppewal, Harmen & Lancsar, Emily, 2021. "Hypothetical bias in stated choice experiments: Part I. Macro-scale analysis of literature and integrative synthesis of empirical evidence from applied economics, experimental psychology and neuroimag," Journal of choice modelling, Elsevier, vol. 41(C).
    3. Huls, Samare P.I. & de Bekker-Grob, Esther W., 2022. "Can healthcare choice be predicted using stated preference data? The role of model complexity in a discrete choice experiment about colorectal cancer screening," Social Science & Medicine, Elsevier, vol. 315(C).
    4. Romuald Meango, 2023. "Using Probabilistic Stated Preference Analyses to Understand Actual Choices," Papers 2307.13966, arXiv.org.
    5. Mesfin G. Genie & Mandy Ryan & Nicolas Krucien, 2023. "Keeping an eye on cost: What can eye tracking tell us about attention to cost information in discrete choice experiments?," Health Economics, John Wiley & Sons, Ltd., vol. 32(5), pages 1101-1119, May.
    6. Salm, J.A. Papineau & Bočkarjova, Marija & Botzen, W.J.W. & Runhaar, H.A.C., 2023. "Citizens' preferences and valuation of urban nature: Insights from two choice experiments," Ecological Economics, Elsevier, vol. 208(C).
    7. Natali, F. & Cacchiarelli, L. & Branca, G., 2022. "There are plenty more (sustainable) fish in the sea: A discrete choice experiment on discarded species in Italy," Ecological Economics, Elsevier, vol. 196(C).
    8. Eleonora Sofia Rossi & José A. Zabala & Francesco Caracciolo & Emanuele Blasi, 2023. "The Value of Crop Diversification: Understanding the Factors Influencing Consumers’ WTP for Pasta from Sustainable Agriculture," Agriculture, MDPI, vol. 13(3), pages 1-18, February.
    9. Gómez-Limón, José A. & Granado-Díaz, Rubén, 2023. "Assessing the demand for hydrological drought insurance in irrigated agriculture," Agricultural Water Management, Elsevier, vol. 276(C).
    10. Haghani, Milad & Bliemer, Michiel C.J. & de Bekker-Grob, Esther W., 2022. "Applications of discrete choice experiments in COVID-19 research: Disparity in survey qualities between health and transport fields," Journal of choice modelling, Elsevier, vol. 44(C).
    11. Stefan Döring & Jonathan Hall, 2023. "Drought exposure decreases altruism with salient group identities as key moderator," Nature Climate Change, Nature, vol. 13(8), pages 856-861, August.

  4. Haghani, Milad & Bliemer, Michiel C.J. & Hensher, David A., 2021. "The landscape of econometric discrete choice modelling research," Journal of choice modelling, Elsevier, vol. 40(C).

    Cited by:

    1. Swait, Joffre, 2023. "Distribution-free estimation of individual parameter logit (IPL) models using combined evolutionary and optimization algorithms," Journal of choice modelling, Elsevier, vol. 47(C).
    2. Haghani, Milad & Bliemer, Michiel C.J. & Rose, John M. & Oppewal, Harmen & Lancsar, Emily, 2021. "Hypothetical bias in stated choice experiments: Part II. Conceptualisation of external validity, sources and explanations of bias and effectiveness of mitigation methods," Journal of choice modelling, Elsevier, vol. 41(C).
    3. Haghani, Milad & Bliemer, Michiel C.J. & Rose, John M. & Oppewal, Harmen & Lancsar, Emily, 2021. "Hypothetical bias in stated choice experiments: Part I. Macro-scale analysis of literature and integrative synthesis of empirical evidence from applied economics, experimental psychology and neuroimag," Journal of choice modelling, Elsevier, vol. 41(C).
    4. Buonocore, Ciro & Carlucci, Fabio & Ciciarelli, Lucia & Papola, Andrea & Tinessa, Fiore & Tocchi, Daniela & Trincone, Barbara, 2023. "Accessibility analysis in spatial planning: A case of special economic zones (SEZs) in Campania, Southern Italy," Land Use Policy, Elsevier, vol. 132(C).
    5. Conti, G. & Giustinelli, P., 2023. "For Better or Worse? Subjective Expectations and Cost-Benefit Trade-Offs in Health Behavior: An application to lockdown compliance in the United Kingdom," Health, Econometrics and Data Group (HEDG) Working Papers 23/05, HEDG, c/o Department of Economics, University of York.
    6. Pérez-Troncoso, Daniel, 2022. "Optimal sequential strategy to improve the precision of the estimators in a discrete choice experiment: A simulation study," Journal of choice modelling, Elsevier, vol. 43(C).
    7. Gu, Yu & Chen, Anthony & Kitthamkesorn, Songyot, 2022. "Weibit choice models: Properties, mode choice application and graphical illustrations," Journal of choice modelling, Elsevier, vol. 44(C).
    8. Conti, Gabriella & Giustinelli, Pamela, 2023. "For Better or Worse? Subjective Expectations and Cost-Benefit Trade-Offs in Health Behavior," CEPR Discussion Papers 18157, C.E.P.R. Discussion Papers.
    9. Haghani, Milad & Bliemer, Michiel C.J. & de Bekker-Grob, Esther W., 2022. "Applications of discrete choice experiments in COVID-19 research: Disparity in survey qualities between health and transport fields," Journal of choice modelling, Elsevier, vol. 44(C).

  5. de Bekker-Grob, E.W. & Donkers, B. & Bliemer, M.C.J. & Veldwijk, J. & Swait, J.D., 2020. "Can healthcare choice be predicted using stated preference data?," Social Science & Medicine, Elsevier, vol. 246(C).

    Cited by:

    1. A. Davola & I. Querci & S. Romani, 2023. "No Consumer Is an Island—Relational Disclosure as a Regulatory Strategy to Advance Consumer Protection Against Microtargeting," Journal of Consumer Policy, Springer, vol. 46(1), pages 1-25, March.
    2. Alene Sze Jing Yong & Yi Heng Lim & Mark Wing Loong Cheong & Ednin Hamzah & Siew Li Teoh, 2022. "Willingness-to-pay for cancer treatment and outcome: a systematic review," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(6), pages 1037-1057, August.
    3. Anthony Scott & Julia Witt, 2015. "Loss Aversion, Reference Dependence and Diminishing Sensitivity in Choice Experiments," Melbourne Institute Working Paper Series wp2015n16, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    4. David A. J. Meester & Stephane Hess & John Buckell & Thomas O. Hancock, 2023. "Can decision field theory enhance our understanding of health‐based choices? Evidence from risky health behaviors," Health Economics, John Wiley & Sons, Ltd., vol. 32(8), pages 1710-1732, August.
    5. Haghani, Milad & Bliemer, Michiel C.J. & Rose, John M. & Oppewal, Harmen & Lancsar, Emily, 2021. "Hypothetical bias in stated choice experiments: Part II. Conceptualisation of external validity, sources and explanations of bias and effectiveness of mitigation methods," Journal of choice modelling, Elsevier, vol. 41(C).
    6. Haghani, Milad & Bliemer, Michiel C.J. & Rose, John M. & Oppewal, Harmen & Lancsar, Emily, 2021. "Hypothetical bias in stated choice experiments: Part I. Macro-scale analysis of literature and integrative synthesis of empirical evidence from applied economics, experimental psychology and neuroimag," Journal of choice modelling, Elsevier, vol. 41(C).
    7. Huls, Samare P.I. & de Bekker-Grob, Esther W., 2022. "Can healthcare choice be predicted using stated preference data? The role of model complexity in a discrete choice experiment about colorectal cancer screening," Social Science & Medicine, Elsevier, vol. 315(C).
    8. Terris-Prestholt, Fern & Mulatu, Abay & Quaife, Matthew & Gafos, Mitzy & Medley, Graham F. & MacPhail, Catherine & Hanson, Kara, 2021. "Using choice experiments to improve equity in access to socially marketed HIV prevention products," Journal of choice modelling, Elsevier, vol. 41(C).
    9. Ni, Lei & Chen, Yu-wang & de Brujin, Oscar, 2021. "Towards understanding socially influenced vaccination decision making: An integrated model of multiple criteria belief modelling and social network analysis," European Journal of Operational Research, Elsevier, vol. 293(1), pages 276-289.
    10. Samare P. I. Huls & Emily Lancsar & Bas Donkers & Jemimah Ride, 2022. "Two for the price of one: If moving beyond traditional single‐best discrete choice experiments, should we use best‐worst, best‐best or ranking for preference elicitation?," Health Economics, John Wiley & Sons, Ltd., vol. 31(12), pages 2630-2647, December.
    11. Wang, Sophie Y. & Cantarelli, Paola & Groene, Oliver & Stargardt, Tom & Belle, Nicola, 2023. "Patient expectations do matter - Experimental evidence on antibiotic prescribing decisions among hospital-based physicians," Health Policy, Elsevier, vol. 128(C), pages 11-17.
    12. Krueger, Rico & Daziano, Ricardo A., 2022. "Stated choice analysis of preferences for COVID-19 vaccines using the Choquet integral," Journal of choice modelling, Elsevier, vol. 45(C).
    13. Sooriyakumar Krishnapillai & Linoja Sajanthan & Sivashankar Sivakumar, 2023. "Households’ willingness to pay for sustainable sanitation and wastewater management in Jaffna municipal area, Sri Lanka," Journal of Environmental Studies and Sciences, Springer;Association of Environmental Studies and Sciences, vol. 13(2), pages 312-320, June.
    14. Milad Haghani & Michiel C. J. Bliemer & John M. Rose & Harmen Oppewal & Emily Lancsar, 2021. "Hypothetical bias in stated choice experiments: Part II. Macro-scale analysis of literature and effectiveness of bias mitigation methods," Papers 2102.02945, arXiv.org.

  6. Ambühl, Lukas & Loder, Allister & Bliemer, Michiel C.J. & Menendez, Monica & Axhausen, Kay W., 2020. "A functional form with a physical meaning for the macroscopic fundamental diagram," Transportation Research Part B: Methodological, Elsevier, vol. 137(C), pages 119-132.

    Cited by:

    1. Yao, Wenbin & Chen, Nuo & Su, Hongyang & Hu, Youwei & Jin, Sheng & Rong, Donglei, 2023. "A novel self-adaption macroscopic fundamental diagram considering network heterogeneity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 613(C).
    2. Ding, Heng & Di, Yunran & Feng, Zhongxiang & Zhang, Weihua & Zheng, Xiaoyan & Yang, Tao, 2022. "A perimeter control method for a congested urban road network with dynamic and variable ranges," Transportation Research Part B: Methodological, Elsevier, vol. 155(C), pages 160-187.

  7. Supun Perera & Dharshana Kasthurirathna & Michael Bell & Michiel Bliemer, 2020. "Topological rationality of supply chain networks," International Journal of Production Research, Taylor & Francis Journals, vol. 58(10), pages 3126-3149, May.

    Cited by:

    1. Dharshana Kasthurirathna & Prasan Ratnayake & Mahendra Piraveenan, 2022. "Disassortative Mixing and Systemic Rational Behaviour: How System Rationality Is Influenced by Topology and Placement in Networked Systems," Mathematics, MDPI, vol. 10(18), pages 1-17, September.

  8. Milad Haghani & Michiel C. J. Bliemer, 2020. "Covid-19 pandemic and the unprecedented mobilisation of scholarly efforts prompted by a health crisis: Scientometric comparisons across SARS, MERS and 2019-nCoV literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2695-2726, December.

    Cited by:

    1. Lalinsky, Tibor & Pál, Rozália, 2022. "Distribution of COVID-19 government support and its consequences for firm liquidity and solvency," Structural Change and Economic Dynamics, Elsevier, vol. 61(C), pages 305-335.
    2. Milad Haghani & Pegah Varamini, 2021. "Temporal evolution, most influential studies and sleeping beauties of the coronavirus literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 7005-7050, August.
    3. Raghu Raman & Ricardo Vinuesa & Prema Nedungadi, 2021. "Bibliometric Analysis of SARS, MERS, and COVID-19 Studies from India and Connection to Sustainable Development Goals," Sustainability, MDPI, vol. 13(14), pages 1-20, July.
    4. Jiban K. Pal, 2021. "Visualizing the knowledge outburst in global research on COVID-19," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 4173-4193, May.
    5. Mario Coccia, 2021. "Evolution and structure of research fields driven by crises and environmental threats: the COVID-19 research," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(12), pages 9405-9429, December.
    6. Breno Santana Santos & Ivanovitch Silva & Luciana Lima & Patricia Takako Endo & Gisliany Alves & Marcel da Câmara Ribeiro-Dantas, 2022. "Discovering temporal scientometric knowledge in COVID-19 scholarly production," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(3), pages 1609-1642, March.
    7. Mona Farouk Ali, 2022. "Between panic and motivation: did the first wave of COVID-19 affect scientific publishing in Mediterranean countries?," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 3083-3115, June.
    8. Constantin Bürgi & Klaus Wohlrabe, 2022. "The influence of Covid-19 on publications in economics: bibliometric evidence from five working paper series," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(9), pages 5175-5189, September.
    9. Aliakbar Pourhatami & Mohammad Kaviyani-Charati & Bahareh Kargar & Hamed Baziyad & Maryam Kargar & Carlos Olmeda-Gómez, 2021. "Mapping the intellectual structure of the coronavirus field (2000–2020): a co-word analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 6625-6657, August.
    10. Yves Fassin, 2021. "Research on Covid-19: a disruptive phenomenon for bibliometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(6), pages 5305-5319, June.
    11. Yujie Zhang & Hongzhen Li & Jingyi Mao & Guoxiu He & Yunhan Yang & Zhuoren Jiang & Yufeng Duan, 2023. "COVID-19: a disruptive impact on the knowledge support of references," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(8), pages 4791-4823, August.
    12. Lalinsky, Tibor & Pál, Rozália, 2021. "Efficiency and effectiveness of the COVID-19 government support: Evidence from firm-level data," EIB Working Papers 2021/06, European Investment Bank (EIB).
    13. Gabriela F. Nane & Nicolas Robinson-Garcia & François Schalkwyk & Daniel Torres-Salinas, 2023. "COVID-19 and the scientific publishing system: growth, open access and scientific fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(1), pages 345-362, January.
    14. Török, Ádám & Konka, Boglárka & Nagy, Andrea Magda, 2023. "A koronavírus-járvány a közgazdasági szakirodalomban. Egy új határterület tudománymetriai elemzése [The coronavirus pandemic in the economics literature. The scientometric analysis of a new discipl," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(3), pages 284-304.
    15. Xiaoyan Liang & Xiwei Zhang & Renee Paulet & Leven Jianwen Zheng, 2022. "A Literature Review of the COVID-19 Pandemic’s Effect on Sustainable HRM," Sustainability, MDPI, vol. 14(5), pages 1-26, February.

  9. Bliemer, Michiel C.J. & Raadsen, Mark P.H., 2020. "Static traffic assignment with residual queues and spillback," Transportation Research Part B: Methodological, Elsevier, vol. 132(C), pages 303-319.

    Cited by:

    1. Brederode, Luuk & Pel, Adam & Wismans, Luc & Rijksen, Bernike & Hoogendoorn, Serge, 2023. "Travel demand matrix estimation for strategic road traffic assignment models with strict capacity constraints and residual queues," Transportation Research Part B: Methodological, Elsevier, vol. 167(C), pages 1-31.
    2. Raadsen, Mark P.H. & Bliemer, Michiel C.J., 2023. "General solution scheme for the static link transmission model," Transportation Research Part B: Methodological, Elsevier, vol. 169(C), pages 108-135.

  10. Loder, Allister & Dakic, Igor & Bressan, Lea & Ambühl, Lukas & Bliemer, Michiel C.J. & Menendez, Monica & Axhausen, Kay W., 2019. "Capturing network properties with a functional form for the multi-modal macroscopic fundamental diagram," Transportation Research Part B: Methodological, Elsevier, vol. 129(C), pages 1-19.

    Cited by:

    1. Dakic, Igor & Leclercq, Ludovic & Menendez, Monica, 2021. "On the optimization of the bus network design: An analytical approach based on the three-dimensional macroscopic fundamental diagram," Transportation Research Part B: Methodological, Elsevier, vol. 149(C), pages 393-417.
    2. Loder, Allister & Bliemer, Michiel C.J. & Axhausen, Kay W., 2022. "Optimal pricing and investment in a multi-modal city — Introducing a macroscopic network design problem based on the MFD," Transportation Research Part A: Policy and Practice, Elsevier, vol. 156(C), pages 113-132.
    3. Tilg, Gabriel & Ambühl, Lukas & Batista, Sergio & Menendez, Monica & Busch, Fritz, 2021. "On the application of variational theory to urban networks," Transportation Research Part B: Methodological, Elsevier, vol. 150(C), pages 435-456.
    4. Takao Dantsuji & Daisuke Fukuda & Nan Zheng, 2021. "Simulation-based joint optimization framework for congestion mitigation in multimodal urban network: a macroscopic approach," Transportation, Springer, vol. 48(2), pages 673-697, April.
    5. Laura Alessandretti & Luis Guillermo Natera Orozco & Meead Saberi & Michael Szell & Federico Battiston, 2023. "Multimodal urban mobility and multilayer transport networks," Environment and Planning B, , vol. 50(8), pages 2038-2070, October.
    6. Dakic, Igor & Yang, Kaidi & Menendez, Monica & Chow, Joseph Y.J., 2021. "On the design of an optimal flexible bus dispatching system with modular bus units: Using the three-dimensional macroscopic fundamental diagram," Transportation Research Part B: Methodological, Elsevier, vol. 148(C), pages 38-59.

  11. Richard Batley & John Bates & Michiel Bliemer & Maria Börjesson & Jeremy Bourdon & Manuel Ojeda Cabral & Phani Kumar Chintakayala & Charisma Choudhury & Andrew Daly & Thijs Dekker & Efie Drivyla & Ton, 2019. "New appraisal values of travel time saving and reliability in Great Britain," Transportation, Springer, vol. 46(3), pages 583-621, June.

    Cited by:

    1. Heyndrickx, Christophe & Vanheukelom, Toon & Proost, Stef, 2021. "Distributional impact of a regional road pricing scheme in Flanders," Transportation Research Part A: Policy and Practice, Elsevier, vol. 148(C), pages 116-139.
    2. Filipi Nikol & Karlínová Bára & Krčál Ondřej, 2022. "The disutility of driving below the speed limit on highways," Review of Economic Perspectives, Sciendo, vol. 22(4), pages 267-277, December.
    3. Krčál, Ondřej & Peer, Stefanie & Staněk, Rostislav, 2021. "Can time-inconsistent preferences explain hypothetical biases?," Economics of Transportation, Elsevier, vol. 25(C).
    4. Hensher, David A. & Beck, Matthew J. & Balbontin, Camila, 2021. "What does the quantum of working from home do to the value of commuting time used in transport appraisal?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 153(C), pages 35-51.
    5. Tsoleridis, Panagiotis & Choudhury, Charisma F. & Hess, Stephane, 2022. "Deriving transport appraisal values from emerging revealed preference data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 165(C), pages 225-245.
    6. Walker, Joan L. & Chatman, Daniel & Daziano, Ricardo & Erhardt, Gregory & Gao, Song & Mahmassani, Hani & Ory, David & Sall, Elizabeth & Bhat, Chandra & Chim, Nicholas & Daniels, Clint & Gardner, Brian, 2019. "Advancing the Science of Travel Demand Forecasting," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt0v1906ts, Institute of Transportation Studies, UC Berkeley.
    7. De Borger, Bruno & Proost, Stef, 2022. "Covid-19 and optimal urban transport policy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 163(C), pages 20-42.
    8. Ondřej Krčál & Rostislav Staněk & Bára Karlínová & Stefanie Peer, 2019. "Real consequences matters: why hypothetical biases in the valuation of time persist even in controlled lab experiments," MUNI ECON Working Papers 2019-03, Masaryk University, revised Feb 2023.
    9. Mouter, Niek & Cabral, Manuel Ojeda & Dekker, Thijs & van Cranenburgh, Sander, 2019. "The value of travel time, noise pollution, recreation and biodiversity: A social choice valuation perspective," Research in Transportation Economics, Elsevier, vol. 76(C).
    10. Mouter, Niek & Koster, Paul & Dekker, Thijs, 2021. "Contrasting the recommendations of participatory value evaluation and cost-benefit analysis in the context of urban mobility investments," Transportation Research Part A: Policy and Practice, Elsevier, vol. 144(C), pages 54-73.
    11. Tao, Xuezong & Zhu, Lichao, 2020. "Meta-analysis of value of time in freight transportation: A comprehensive review based on discrete choice models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 213-233.
    12. Schmid, Basil & Molloy, Joseph & Peer, Stefanie & Jokubauskaite, Simona & Aschauer, Florian & Hössinger, Reinhard & Gerike, Regine & Jara-Diaz, Sergio R. & Axhausen, Kay W., 2021. "The value of travel time savings and the value of leisure in Zurich: Estimation, decomposition and policy implications," Transportation Research Part A: Policy and Practice, Elsevier, vol. 150(C), pages 186-215.
    13. Tjiong, Jeff & Dekker, Thijs & Hess, Stephane & Ojeda Cabral, Manuel, 2022. "The selection of income measures in value of travel time models and their implications for the VTT, its cross-sectional income elasticity and transport appraisal," Research in Transportation Economics, Elsevier, vol. 94(C).

  12. Bliemer, Michiel C.J. & Raadsen, Mark P.H., 2019. "Continuous-time general link transmission model with simplified fanning, Part I: Theory and link model formulation," Transportation Research Part B: Methodological, Elsevier, vol. 126(C), pages 442-470.

    Cited by:

    1. František Kolovský & Ivana Kolingerová, 2022. "The Piecewise Constant/Linear Solution for Dynamic User Equilibrium," Networks and Spatial Economics, Springer, vol. 22(4), pages 737-765, December.
    2. Raadsen, Mark P.H. & Bliemer, Michiel C.J., 2023. "General solution scheme for the static link transmission model," Transportation Research Part B: Methodological, Elsevier, vol. 169(C), pages 108-135.
    3. Bliemer, Michiel C.J. & Raadsen, Mark P.H., 2020. "Static traffic assignment with residual queues and spillback," Transportation Research Part B: Methodological, Elsevier, vol. 132(C), pages 303-319.

  13. van Cranenburgh, Sander & Bliemer, Michiel C.J., 2019. "Information theoretic-based sampling of observations," Journal of choice modelling, Elsevier, vol. 31(C), pages 181-197.

    Cited by:

    1. Stöckel, Jannis & Bom, Judith, 2022. "Revisiting longer-term health effects of informal caregiving: Evidence from the UK," The Journal of the Economics of Ageing, Elsevier, vol. 21(C).
    2. Andrea Tolentino Herrera & José Gerardo De la Vega Meneses, 2020. "Responsabilidad Social Corporativa como la clave para las empresas exitosas," Revista de Investigación en Ciencias Contables y Administrativas, Universidad Michoacana de San Nicolás de Hidalgo, Facultad de Contaduría y Ciencias Administrativas, vol. 6(1), pages 116-129, December.
    3. Molloy, Joseph & Becker, Felix & Schmid, Basil & Axhausen, Kay W., 2021. "mixl: An open-source R package for estimating complex choice models on large datasets," Journal of choice modelling, Elsevier, vol. 39(C).
    4. S. Van Cranenburgh & S. Wang & A. Vij & F. Pereira & J. Walker, 2021. "Choice modelling in the age of machine learning -- discussion paper," Papers 2101.11948, arXiv.org, revised Nov 2021.

  14. Raadsen, Mark P.H. & Bliemer, Michiel C.J., 2019. "Continuous-time general link transmission model with simplified fanning, Part II: Event-based algorithm for networks," Transportation Research Part B: Methodological, Elsevier, vol. 126(C), pages 471-501.

    Cited by:

    1. František Kolovský & Ivana Kolingerová, 2022. "The Piecewise Constant/Linear Solution for Dynamic User Equilibrium," Networks and Spatial Economics, Springer, vol. 22(4), pages 737-765, December.
    2. Raadsen, Mark P.H. & Bliemer, Michiel C.J., 2023. "General solution scheme for the static link transmission model," Transportation Research Part B: Methodological, Elsevier, vol. 169(C), pages 108-135.
    3. Bliemer, Michiel C.J. & Raadsen, Mark P.H., 2020. "Static traffic assignment with residual queues and spillback," Transportation Research Part B: Methodological, Elsevier, vol. 132(C), pages 303-319.

  15. Raadsen, Mark P.H. & Bliemer, Michiel C.J., 2019. "Steady-state link travel time methods: Formulation, derivation, classification, and unification," Transportation Research Part B: Methodological, Elsevier, vol. 122(C), pages 167-191.

    Cited by:

    1. Raadsen, Mark P.H. & Bliemer, Michiel C.J., 2023. "General solution scheme for the static link transmission model," Transportation Research Part B: Methodological, Elsevier, vol. 169(C), pages 108-135.
    2. Bliemer, Michiel C.J. & Raadsen, Mark P.H., 2020. "Static traffic assignment with residual queues and spillback," Transportation Research Part B: Methodological, Elsevier, vol. 132(C), pages 303-319.

  16. Bastiaan Possel & Luc J. J. Wismans & Eric C. Berkum & Michiel C. J. Bliemer, 2018. "The multi-objective network design problem using minimizing externalities as objectives: comparison of a genetic algorithm and simulated annealing framework," Transportation, Springer, vol. 45(2), pages 545-572, March.

    Cited by:

    1. Xiang Zhang & S. Travis Waller, 2019. "Implications of link-based equity objectives on transportation network design problem," Transportation, Springer, vol. 46(5), pages 1559-1589, October.
    2. Wei Huang & Guangming Xu & Hong K. Lo, 2020. "Pareto-Optimal Sustainable Transportation Network Design under Spatial Queuing," Networks and Spatial Economics, Springer, vol. 20(3), pages 637-673, September.
    3. Siying Zhu & Feng Zhu, 2020. "Multi-objective bike-way network design problem with space–time accessibility constraint," Transportation, Springer, vol. 47(5), pages 2479-2503, October.
    4. Zhaoqi Zang & Xiangdong Xu & Anthony Chen & Chao Yang, 2022. "Modeling the α-max capacity of transportation networks: a single-level mathematical programming formulation," Transportation, Springer, vol. 49(4), pages 1211-1243, August.
    5. Alba Martínez-López & Manuel Chica, 2020. "Joint Optimization of Routes and Container Fleets to Design Sustainable Intermodal Chains in Chile," Sustainability, MDPI, vol. 12(6), pages 1-23, March.
    6. Hong Ki An & Muhammad Awais Javeed & Gimok Bae & Nimra Zubair & Ahmed Sayed M. Metwally & Patrizia Bocchetta & Fan Na & Muhammad Sufyan Javed, 2022. "Optimized Intersection Signal Timing: An Intelligent Approach-Based Study for Sustainable Models," Sustainability, MDPI, vol. 14(18), pages 1-19, September.

  17. Teye, Collins & Bell, Michael GH & Bliemer, Michiel CJ, 2018. "Locating urban and regional container terminals in a competitive environment: An entropy maximising approach," Transportation Research Part B: Methodological, Elsevier, vol. 117(PB), pages 971-985.

    Cited by:

    1. Shima Taheri & Mohammad Tamannaei, 2023. "Integrated Multi-Level Intermodal Network Design Problem: A Sustainable Approach, Based on Competition of Rail and Road Transportation Systems," Networks and Spatial Economics, Springer, vol. 23(1), pages 1-37, March.
    2. Yan, Ran & Wang, Shuaian & Fagerholt, Kjetil, 2020. "A semi-“smart predict then optimize” (semi-SPO) method for efficient ship inspection," Transportation Research Part B: Methodological, Elsevier, vol. 142(C), pages 100-125.
    3. Snežana Tadić & Milovan Kovač & Mladen Krstić & Violeta Roso & Nikolina Brnjac, 2021. "The Selection of Intermodal Transport System Scenarios in the Function of Southeastern Europe Regional Development," Sustainability, MDPI, vol. 13(10), pages 1-25, May.
    4. Basallo-Triana, Mario José & Bravo-Bastidas, Juan José & Contreras, Ivan & Cordeau, Jean-François & Vidal-Holguín, Carlos Julio, 2023. "Intermodal hub network design with generalized capacity constraints and non-synchronized train–truck operations," Transportation Research Part B: Methodological, Elsevier, vol. 174(C).
    5. Jingwen Qi & Hans Wang & Jianfeng Zheng, 2022. "Shore Power Deployment Problem—A Case Study of a Chinese Container Shipping Network," Sustainability, MDPI, vol. 14(11), pages 1-13, June.
    6. Verena Maria Stockhammer & Sarah Pfoser & Karin Markvica & Jürgen Zajicek & Matthias Prandtstetter, 2021. "Behavioural Biases Distorting the Demand for Environmentally Friendly Freight Transport Modes: An Overview and Potential Measures," Sustainability, MDPI, vol. 13(21), pages 1-34, October.

  18. Bliemer, Michiel C.J. & Rose, John M. & Chorus, Caspar G., 2017. "Detecting dominance in stated choice data and accounting for dominance-based scale differences in logit models," Transportation Research Part B: Methodological, Elsevier, vol. 102(C), pages 83-104.

    Cited by:

    1. van Cranenburgh, Sander & Bliemer, Michiel C.J., 2019. "Information theoretic-based sampling of observations," Journal of choice modelling, Elsevier, vol. 31(C), pages 181-197.
    2. Danaf, Mazen & Atasoy, Bilge & de Azevedo, Carlos Lima & Ding-Mastera, Jing & Abou-Zeid, Maya & Cox, Nathaniel & Zhao, Fang & Ben-Akiva, Moshe, 2019. "Context-aware stated preferences with smartphone-based travel surveys," Journal of choice modelling, Elsevier, vol. 31(C), pages 35-50.
    3. Ambühl, Lukas & Loder, Allister & Bliemer, Michiel C.J. & Menendez, Monica & Axhausen, Kay W., 2020. "A functional form with a physical meaning for the macroscopic fundamental diagram," Transportation Research Part B: Methodological, Elsevier, vol. 137(C), pages 119-132.
    4. Haghani, Milad & Bliemer, Michiel C.J. & Rose, John M. & Oppewal, Harmen & Lancsar, Emily, 2021. "Hypothetical bias in stated choice experiments: Part II. Conceptualisation of external validity, sources and explanations of bias and effectiveness of mitigation methods," Journal of choice modelling, Elsevier, vol. 41(C).
    5. Cebeci, Merve Seher & Tapia, Rodrigo Javier & Kroesen, Maarten & de Bok, Michiel & Tavasszy, Lóránt, 2023. "The effect of trust on the choice for crowdshipping services," Transportation Research Part A: Policy and Practice, Elsevier, vol. 170(C).
    6. Basil Schmid & Milos Balac & Kay W. Axhausen, 2019. "Post-Car World: data collection methods and response behavior in a multi-stage travel survey," Transportation, Springer, vol. 46(2), pages 425-492, April.
    7. Ogata, Ryuto & Schmöcker, Jan-Dirk & Nakamura, Toshiyuki & Kuwahara, Masahiro, 2022. "On the potential of carsharing to attract regular trips of private car and public transport users in metropolitan areas," Transportation Research Part A: Policy and Practice, Elsevier, vol. 163(C), pages 386-404.
    8. Murwirapachena, Genius & Dikgang, Johane, 2018. "An empirical examination of reducing status quo bias in heterogeneous populations: evidence from the South African water sector," MPRA Paper 91549, University Library of Munich, Germany.
    9. van Cranenburgh, Sander & Rose, John M. & Chorus, Caspar G., 2018. "On the robustness of efficient experimental designs towards the underlying decision rule," Transportation Research Part A: Policy and Practice, Elsevier, vol. 109(C), pages 50-64.
    10. de Bekker-Grob, E.W. & Donkers, B. & Bliemer, M.C.J. & Veldwijk, J. & Swait, J.D., 2020. "Can healthcare choice be predicted using stated preference data?," Social Science & Medicine, Elsevier, vol. 246(C).
    11. Emily K. M. Moylan & Michiel C. J. Bliemer & Taha Hossein Rashidi, 2022. "Travellers’ perceptions of travel time reliability in the presence of rare events," Transportation, Springer, vol. 49(4), pages 1157-1181, August.
    12. Chorus, Caspar G. & Pudāne, Baiba & Mouter, Niek & Campbell, Danny, 2018. "Taboo trade-off aversion: A discrete choice model and empirical analysis," Journal of choice modelling, Elsevier, vol. 27(C), pages 37-49.
    13. Joan L. Walker & Yanqiao Wang & Mikkel Thorhauge & Moshe Ben-Akiva, 2018. "D-efficient or deficient? A robustness analysis of stated choice experimental designs," Theory and Decision, Springer, vol. 84(2), pages 215-238, March.
    14. Loder, Allister & Dakic, Igor & Bressan, Lea & Ambühl, Lukas & Bliemer, Michiel C.J. & Menendez, Monica & Axhausen, Kay W., 2019. "Capturing network properties with a functional form for the multi-modal macroscopic fundamental diagram," Transportation Research Part B: Methodological, Elsevier, vol. 129(C), pages 1-19.
    15. Milad Haghani & Michiel C. J. Bliemer & John M. Rose & Harmen Oppewal & Emily Lancsar, 2021. "Hypothetical bias in stated choice experiments: Part II. Macro-scale analysis of literature and effectiveness of bias mitigation methods," Papers 2102.02945, arXiv.org.
    16. Muhamad Rizki & Jeanly Syahputri & Prawira Fajarindra Belgiawan & Muhammad Zudhy Irawan, 2021. "Electrifying Tourist Mobility in Bali, Indonesia: Setting the Target and Estimating the CO 2 Reduction Based on Stated Choice Experiment," Sustainability, MDPI, vol. 13(21), pages 1-17, October.
    17. Soekhai, V. & Donkers, B. & Levitan, B. & de Bekker-Grob, E.W., 2021. "Case 2 best-worst scaling: For good or for bad but not for both," Journal of choice modelling, Elsevier, vol. 41(C).

  19. Michiel C. J. Bliemer & Mark P. H. Raadsen & Luuk J. N. Brederode & Michael G. H. Bell & Luc J. J. Wismans & Mike J. Smith, 2017. "Genetics of traffic assignment models for strategic transport planning," Transport Reviews, Taylor & Francis Journals, vol. 37(1), pages 56-78, January.

    Cited by:

    1. Ke Han & Gabriel Eve & Terry L. Friesz, 2019. "Computing Dynamic User Equilibria on Large-Scale Networks with Software Implementation," Networks and Spatial Economics, Springer, vol. 19(3), pages 869-902, September.
    2. Zhang, Yachao & Xie, Shiwei & Shu, Shengwen, 2022. "Multi-stage robust optimization of a multi-energy coupled system considering multiple uncertainties," Energy, Elsevier, vol. 238(PC).
    3. Wei Huang & Guangming Xu & Hong K. Lo, 2020. "Pareto-Optimal Sustainable Transportation Network Design under Spatial Queuing," Networks and Spatial Economics, Springer, vol. 20(3), pages 637-673, September.
    4. Du, Muqing & Tan, Heqing & Chen, Anthony, 2021. "A faster path-based algorithm with Barzilai-Borwein step size for solving stochastic traffic equilibrium models," European Journal of Operational Research, Elsevier, vol. 290(3), pages 982-999.
    5. Zhou, Zhe & Zhang, Xuan & Guo, Qinglai & Sun, Hongbin, 2021. "Analyzing power and dynamic traffic flows in coupled power and transportation networks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    6. Raadsen, Mark P.H. & Bliemer, Michiel C.J., 2019. "Steady-state link travel time methods: Formulation, derivation, classification, and unification," Transportation Research Part B: Methodological, Elsevier, vol. 122(C), pages 167-191.
    7. Brederode, Luuk & Pel, Adam & Wismans, Luc & Rijksen, Bernike & Hoogendoorn, Serge, 2023. "Travel demand matrix estimation for strategic road traffic assignment models with strict capacity constraints and residual queues," Transportation Research Part B: Methodological, Elsevier, vol. 167(C), pages 1-31.
    8. Raadsen, Mark P.H. & Bliemer, Michiel C.J., 2023. "General solution scheme for the static link transmission model," Transportation Research Part B: Methodological, Elsevier, vol. 169(C), pages 108-135.
    9. Babak Javani & Abbas Babazadeh, 2020. "Path-Based Dynamic User Equilibrium Model with Applications to Strategic Transportation Planning," Networks and Spatial Economics, Springer, vol. 20(2), pages 329-366, June.
    10. Wang, Yi & Szeto, W.Y. & Han, Ke & Friesz, Terry L., 2018. "Dynamic traffic assignment: A review of the methodological advances for environmentally sustainable road transportation applications," Transportation Research Part B: Methodological, Elsevier, vol. 111(C), pages 370-394.
    11. Raadsen, Mark P.H. & Bliemer, Michiel C.J. & Bell, Michael G.H., 2020. "Aggregation, disaggregation and decomposition methods in traffic assignment: historical perspectives and new trends," Transportation Research Part B: Methodological, Elsevier, vol. 139(C), pages 199-223.
    12. Bliemer, Michiel C.J. & Raadsen, Mark P.H., 2020. "Static traffic assignment with residual queues and spillback," Transportation Research Part B: Methodological, Elsevier, vol. 132(C), pages 303-319.

  20. Teye, Collins & Bell, Michael G.H. & Bliemer, Michiel C.J., 2017. "Entropy maximising facility location model for port city intermodal terminals," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 100(C), pages 1-16.

    Cited by:

    1. Saldanha-da-Gama, Francisco, 2022. "Facility Location in Logistics and Transportation: An enduring relationship," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 166(C).
    2. Aurelija Burinskienė, 2021. "Designing a Multi-Stage Transport System Serving e-Commerce Activity," Sustainability, MDPI, vol. 13(11), pages 1-19, May.
    3. Bell, Michael G.H. & Pan, Jing-Jing & Teye, Collins & Cheung, Kam-Fung & Perera, Supun, 2020. "An entropy maximizing approach to the ferry network design problem," Transportation Research Part B: Methodological, Elsevier, vol. 132(C), pages 15-28.
    4. Melvin Wong & Bilal Farooq, 2019. "Information processing constraints in travel behaviour modelling: A generative learning approach," Papers 1907.07036, arXiv.org, revised Jul 2019.
    5. Abareshi, Maryam & Zaferanieh, Mehdi, 2019. "A bi-level capacitated P-median facility location problem with the most likely allocation solution," Transportation Research Part B: Methodological, Elsevier, vol. 123(C), pages 1-20.
    6. Zheng, Jianfeng & Qi, Jingwen & Sun, Zhuo & Li, Feng, 2018. "Community structure based global hub location problem in liner shipping," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 118(C), pages 1-19.
    7. Jiang, Xiaodan & Fan, Houming & Luo, Meifeng & Xu, Zhenlin, 2020. "Strategic port competition in multimodal network development considering shippers’ choice," Transport Policy, Elsevier, vol. 90(C), pages 68-89.
    8. Farahani, Reza Zanjirani & Fallah, Samira & Ruiz, Rubén & Hosseini, Sara & Asgari, Nasrin, 2019. "OR models in urban service facility location: A critical review of applications and future developments," European Journal of Operational Research, Elsevier, vol. 276(1), pages 1-27.
    9. Feifeng Zheng & Chunle Kang & Qinrui Song & Ming Liu, 2022. "Entropy-Maximization-Based Customer Order Allocation of Clothing Production Enterprises in the Sharing Economy," Sustainability, MDPI, vol. 14(22), pages 1-21, November.
    10. Teye, Collins & Bell, Michael GH & Bliemer, Michiel CJ, 2018. "Locating urban and regional container terminals in a competitive environment: An entropy maximising approach," Transportation Research Part B: Methodological, Elsevier, vol. 117(PB), pages 971-985.

  21. Teye, Collins & Bell, Michael G H & Bliemer, Michiel C J, 2017. "Urban intermodal terminals: The entropy maximising facility location problem," Transportation Research Part B: Methodological, Elsevier, vol. 100(C), pages 64-81.

    Cited by:

    1. Bell, Michael G.H. & Pan, Jing-Jing & Teye, Collins & Cheung, Kam-Fung & Perera, Supun, 2020. "An entropy maximizing approach to the ferry network design problem," Transportation Research Part B: Methodological, Elsevier, vol. 132(C), pages 15-28.
    2. Basallo-Triana, Mario José & Bravo-Bastidas, Juan José & Contreras, Ivan & Cordeau, Jean-François & Vidal-Holguín, Carlos Julio, 2023. "Intermodal hub network design with generalized capacity constraints and non-synchronized train–truck operations," Transportation Research Part B: Methodological, Elsevier, vol. 174(C).
    3. Zheng, Jianfeng & Qi, Jingwen & Sun, Zhuo & Li, Feng, 2018. "Community structure based global hub location problem in liner shipping," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 118(C), pages 1-19.
    4. Snežana Tadić & Mladen Krstić & Violeta Roso & Nikolina Brnjac, 2019. "Planning an Intermodal Terminal for the Sustainable Transport Networks," Sustainability, MDPI, vol. 11(15), pages 1-20, July.
    5. Jiang, Xiaodan & Fan, Houming & Luo, Meifeng & Xu, Zhenlin, 2020. "Strategic port competition in multimodal network development considering shippers’ choice," Transport Policy, Elsevier, vol. 90(C), pages 68-89.
    6. Amir Gharehgozli & Nima Zaerpour & Rene Koster, 2020. "Container terminal layout design: transition and future," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 22(4), pages 610-639, December.
    7. Ján Ližbetin, 2019. "Methodology for Determining the Location of Intermodal Transport Terminals for the Development of Sustainable Transport Systems: A Case Study from Slovakia," Sustainability, MDPI, vol. 11(5), pages 1-17, February.
    8. Meisam Nasrollahi & Jafar Razmi, 2021. "A mathematical model for designing an integrated pharmaceutical supply chain with maximum expected coverage under uncertainty," Operational Research, Springer, vol. 21(1), pages 525-552, March.
    9. Ademar Vilarinho & Lara Bartocci Liboni & Luciana Oranges Cezarino & Javier Durán Micco & Koen Mommens & Cathy Macharis, 2024. "Challenges and Opportunities for the Development of Inland Waterway Transport in Brazil," Sustainability, MDPI, vol. 16(5), pages 1-25, March.
    10. Teye, Collins & Bell, Michael G.H. & Bliemer, Michiel C.J., 2017. "Entropy maximising facility location model for port city intermodal terminals," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 100(C), pages 1-16.
    11. Guo, Liquan & Yang, Dong & Yang, Zhongzhen, 2018. "Port integration method in multi-port regions (MPRs) based on the maximal social welfare of the external transport system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 110(C), pages 243-257.
    12. Fan Bu & Heather Nachtmann, 2023. "Literature review and comparative analysis of inland waterways transport: “Container on Barge”," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 25(1), pages 140-173, March.

  22. Cantarella, Giulio E. & Bliemer, Michiel C.J. & Tampère, Chris, 2016. "Special issue on within-day dynamics," Transportation Research Part B: Methodological, Elsevier, vol. 92(PB), pages 119-119.

    Cited by:

    1. Branch, Maggie & Dharmasena, Senarath, 2018. "Economic and Demographic Factors Affecting the Propensity to Consume Specialty Eggs in the United States," 2018 Annual Meeting, February 2-6, 2018, Jacksonville, Florida 266560, Southern Agricultural Economics Association.
    2. Khalid, Rasyikah Md & Mokhtar, Mazlin Bin & Jalil, Faridah & Rahman, Suhaimi Ab & Spray, Christopher, 2018. "Legal framing for achieving ‘good ecological status’ for Malaysian rivers: Are there lessons to be learned from the EU Water Framework Directive?," Ecosystem Services, Elsevier, vol. 29(PB), pages 251-259.

  23. Bliemer, Michiel C.J. & Collins, Andrew T., 2016. "On determining priors for the generation of efficient stated choice experimental designs," Journal of choice modelling, Elsevier, vol. 21(C), pages 10-14.

    Cited by:

    1. Canessa, Carolin & Venus, Terese E. & Wiesmeier, Miriam & Mennig, Philipp & Sauer, Johannes, 2023. "Incentives, Rewards or Both in Payments for Ecosystem Services: Drawing a Link Between Farmers' Preferences and Biodiversity Levels," Ecological Economics, Elsevier, vol. 213(C).
    2. van Cranenburgh, Sander & Bliemer, Michiel C.J., 2019. "Information theoretic-based sampling of observations," Journal of choice modelling, Elsevier, vol. 31(C), pages 181-197.
    3. Manhique, Henrique & Wätzold, Frank, 2023. "Effects of Institutional Setting on Value Estimates of Stated Preference Surveys in Developing Economies: A Discrete Choice Experiment on Conserving Biodiversity in The Cape Floristic Region," MPRA Paper 118750, University Library of Munich, Germany.
    4. Simon Gwara & Edilegnaw Wale & Alfred Odindo & Chris Buckley, 2020. "Why do We Know So Much and Yet So Little? A Scoping Review of Willingness to Pay for Human Excreta Derived Material in Agriculture," Sustainability, MDPI, vol. 12(16), pages 1-25, August.
    5. Harold, Jason & Bertsch, Valentin & Fell, Harrison, 2021. "Preferences for curtailable electricity contracts: Can curtailment benefit consumers and the electricity system?," Energy Economics, Elsevier, vol. 102(C).
    6. Oyakhilomen, Oyinbo & Chamberlin, Jordan & Maertens, Miet, 2019. "Design of Digital Agricultural Extension Tools: Perspectives from Extension Agents in Nigeria," Working Papers 291525, Katholieke Universiteit Leuven, Centre for Agricultural and Food Economics.
    7. Daniele Asioli & Claudia Bazzani & Rodolfo M. Nayga, 2022. "Are consumers willing to pay for in‐vitro meat? An investigation of naming effects," Journal of Agricultural Economics, Wiley Blackwell, vol. 73(2), pages 356-375, June.
    8. Bertsch, Valentin & Harold, Jason & Fell, Harrison, 2019. "Consumer preferences for end-use specific curtailable electricity contracts on household appliances during peak load hours," Papers WP632, Economic and Social Research Institute (ESRI).
    9. van Cranenburgh, Sander & Collins, Andrew T., 2019. "New software tools for creating stated choice experimental designs efficient for regret minimisation and utility maximisation decision rules," Journal of choice modelling, Elsevier, vol. 31(C), pages 104-123.
    10. Canessa, Carolin & Venus, Terese & Wiesmeier, Miriam & Mennig, Philipp & Sauer, Johannes, 2023. "Farmers’ preferences over alternative AECS designs. Do the ecological conditions influence the willingness to accept result-based contracts?," 97th Annual Conference, March 27-29, 2023, Warwick University, Coventry, UK 334508, Agricultural Economics Society - AES.
    11. Noriko Irie & Naoko Kawahara, 2023. "Social Impact Scoping Using Statistical Methods: The Case of a Novel Design of Abandoned Farmland Policy," Sustainability, MDPI, vol. 15(4), pages 1-18, February.
    12. Zhou, Heng & Norman, Richard & Xia, Jianhong(Cecilia) & Hughes, Brett & Kelobonye, Keone & Nikolova, Gabi & Falkmer, Torbjorn, 2020. "Analysing travel mode and airline choice using latent class modelling: A case study in Western Australia," Transportation Research Part A: Policy and Practice, Elsevier, vol. 137(C), pages 187-205.
    13. Bliemer, Michiel C.J. & Rose, John M. & Chorus, Caspar G., 2017. "Detecting dominance in stated choice data and accounting for dominance-based scale differences in logit models," Transportation Research Part B: Methodological, Elsevier, vol. 102(C), pages 83-104.
    14. Haghani, Milad & Sarvi, Majid, 2018. "Hypothetical bias and decision-rule effect in modelling discrete directional choices," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 361-388.
    15. Liuyang Yao & Minjuan Zhao & Yu Cai & Zhaowei Yin, 2018. "Public Preferences for the Design of a Farmland Retirement Project: Using Choice Experiments in Urban and Rural Areas of Wuwei, China," Sustainability, MDPI, vol. 10(5), pages 1-16, May.
    16. Vega-Bayo, Ainhoa & Mariel, Petr & Meyerhoff, Jürgen & Corsi, Armando Maria & Chovan, Milan, 2023. "Climate change adaptation preferences of winemakers from the Rioja wine appellation," Journal of choice modelling, Elsevier, vol. 48(C).
    17. Zhang, Rong & Zhu, Lichao, 2019. "Threshold incorporating freight choice modeling for hinterland leg transportation chain of export containers," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 858-872.
    18. MacDonald, Darla Hatton & Rose, John M. & Johnston, Robert J. & Bark, Rosalind H. & Pritchard, Jodie, 2019. "Managing groundwater in a mining region: an opportunity to compare best-worst and referendum data," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 63(4), October.
    19. Nordén, Anna & Coria, Jessica & Jönsson, Anna Maria & Lagergren, Fredrik & Lehsten, Veiko, 2015. "Divergence in Stakeholders’ Preferences: Evidence from a Choice Experiment on Forest Landscapes Preferences in Sweden," Working Papers in Economics 616, University of Gothenburg, Department of Economics.
    20. Martínez-Moya, Julián & Feo-Valero, María, 2022. "Do shippers’ characteristics influence port choice criteria? Capturing heterogeneity by using latent class models," Transport Policy, Elsevier, vol. 116(C), pages 96-105.
    21. Mesfin G. Genie & Mandy Ryan & Nicolas Krucien, 2023. "Keeping an eye on cost: What can eye tracking tell us about attention to cost information in discrete choice experiments?," Health Economics, John Wiley & Sons, Ltd., vol. 32(5), pages 1101-1119, May.
    22. Nthambi, Mary & Markova-Nenova, Nonka & Wätzold, Frank, 2021. "Quantifying Loss of Benefits from Poor Governance of Climate Change Adaptation Projects: A Discrete Choice Experiment with Farmers in Kenya," Ecological Economics, Elsevier, vol. 179(C).
    23. Elisa De Marchi & Alessia Cavaliere & Alessandro Banterle, 2021. "Consumers' Choice Behavior for Cisgenic Food: Exploring the Role of Time Preferences," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 43(2), pages 866-891, June.
    24. Bwambale, Andrew & Uzondu, Chinebuli & Islam, Mohaimanul & Rahman, Farzana & Batool, Zahara & Isolo Mukwaya, Paul & Wadud, Zia, 2023. "Willingness to pay for COVID-19 mitigation measures in public transport and paratransit in low-income countries," Transportation Research Part A: Policy and Practice, Elsevier, vol. 167(C).
    25. Nthambi, Mary & Wätzold, Frank & Markova-Nenova, Nonka, 2018. "Quantifying benefit losses from poor governance of climate change adaptation projects: A discrete choice experiment with farmers in Kenya," MPRA Paper 94678, University Library of Munich, Germany.
    26. Paolo Bragolusi & Chiara D’Alpaos, 2021. "The Willingness to Pay for Residential PV Plants in Italy: A Discrete Choice Experiment," Sustainability, MDPI, vol. 13(19), pages 1-13, September.
    27. Joan L. Walker & Yanqiao Wang & Mikkel Thorhauge & Moshe Ben-Akiva, 2018. "D-efficient or deficient? A robustness analysis of stated choice experimental designs," Theory and Decision, Springer, vol. 84(2), pages 215-238, March.
    28. Khakdaman, Masoud & Rezaei, Jafar & Tavasszy, Lóránt A., 2020. "Shippers’ willingness to delegate modal control in freight transportation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 141(C).
    29. Mark Tocock & Dugald Tinch & Darla Hatton MacDonald & John M. Rose, 2023. "Managing the energy trilemma of reliability, affordability and renewables: Assessing consumer demands with discrete choice experiments," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 67(2), pages 155-175, April.
    30. Asioli, Daniele & Bazzani, Claudia & Nayga, Rodolfo M., 2018. "Consumers’ Valuation for Lab Produced Meat: An Investigation of Naming Effects," 2018 Annual Meeting, August 5-7, Washington, D.C. 274066, Agricultural and Applied Economics Association.
    31. Ha, Kim & Atallah, Shadi S. & Bazzani, Claudia & Nayga, Rodolfo M., 2017. "Consumers’ Valuation for Craft Beer: Does the Localness of Inputs Matter?," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258330, Agricultural and Applied Economics Association.
    32. Feo-Valero, María & Martínez-Moya, Julián, 2022. "Shippers vs. freight forwarders: Do they differ in their port choice decisions? Evidence from the Spanish ceramic tile industry," Research in Transportation Economics, Elsevier, vol. 95(C).

  24. Raadsen, Mark P.H. & Bliemer, Michiel C.J. & Bell, Michael G.H., 2016. "An efficient and exact event-based algorithm for solving simplified first order dynamic network loading problems in continuous time," Transportation Research Part B: Methodological, Elsevier, vol. 92(PB), pages 191-210.

    Cited by:

    1. Bliemer, Michiel C.J. & Raadsen, Mark P.H., 2019. "Continuous-time general link transmission model with simplified fanning, Part I: Theory and link model formulation," Transportation Research Part B: Methodological, Elsevier, vol. 126(C), pages 442-470.
    2. Raadsen, Mark P.H. & Bliemer, Michiel C.J., 2019. "Continuous-time general link transmission model with simplified fanning, Part II: Event-based algorithm for networks," Transportation Research Part B: Methodological, Elsevier, vol. 126(C), pages 471-501.
    3. Himpe, Willem & Corthout, Ruben & Tampère, M.J. Chris, 2016. "An efficient iterative link transmission model," Transportation Research Part B: Methodological, Elsevier, vol. 92(PB), pages 170-190.
    4. Flötteröd, G. & Osorio, C., 2017. "Stochastic network link transmission model," Transportation Research Part B: Methodological, Elsevier, vol. 102(C), pages 180-209.
    5. Bar-Gera, Hillel & Carey, Malachy, 2017. "Representation requirements for perfect first-in-first-out verification in continuous flow dynamic models," Transportation Research Part B: Methodological, Elsevier, vol. 100(C), pages 284-301.
    6. van der Gun, Jeroen P.T. & Pel, Adam J. & van Arem, Bart, 2017. "Extending the Link Transmission Model with non-triangular fundamental diagrams and capacity drops," Transportation Research Part B: Methodological, Elsevier, vol. 98(C), pages 154-178.
    7. Wang, David Z.W. & Du, Bo, 2016. "Continuum modelling of spatial and dynamic equilibrium in a travel corridor with heterogeneous commuters—A partial differential complementarity system approach," Transportation Research Part B: Methodological, Elsevier, vol. 85(C), pages 1-18.
    8. Raadsen, Mark P.H. & Bliemer, Michiel C.J., 2019. "Steady-state link travel time methods: Formulation, derivation, classification, and unification," Transportation Research Part B: Methodological, Elsevier, vol. 122(C), pages 167-191.
    9. František Kolovský & Ivana Kolingerová, 2022. "The Piecewise Constant/Linear Solution for Dynamic User Equilibrium," Networks and Spatial Economics, Springer, vol. 22(4), pages 737-765, December.
    10. Raadsen, Mark P.H. & Bliemer, Michiel C.J., 2023. "General solution scheme for the static link transmission model," Transportation Research Part B: Methodological, Elsevier, vol. 169(C), pages 108-135.
    11. Wang, Yi & Szeto, W.Y. & Han, Ke & Friesz, Terry L., 2018. "Dynamic traffic assignment: A review of the methodological advances for environmentally sustainable road transportation applications," Transportation Research Part B: Methodological, Elsevier, vol. 111(C), pages 370-394.
    12. Wright, Matthew A. & Gomes, Gabriel & Horowitz, Roberto & Kurzhanskiy, Alex A., 2017. "On node models for high-dimensional road networks," Transportation Research Part B: Methodological, Elsevier, vol. 105(C), pages 212-234.

  25. Emerson, David & Mulley, Corinne & Bliemer, Michiel C.J., 2016. "A theoretical analysis of business models for urban public transport systems, with comparative reference to a Community Franchise involving Individual Line Ownership," Research in Transportation Economics, Elsevier, vol. 59(C), pages 368-378.

    Cited by:

    1. Reinhart Buenk & Sara S (Saartjie) Grobbelaar & Isabel Meyer, 2019. "A Framework for the Sustainability Assessment of (Micro)transit Systems," Sustainability, MDPI, vol. 11(21), pages 1-24, October.

  26. de Jong, Gerard C. & Bliemer, Michiel C.J., 2015. "On including travel time reliability of road traffic in appraisal," Transportation Research Part A: Policy and Practice, Elsevier, vol. 73(C), pages 80-95.

    Cited by:

    1. Li, Hao & Tu, Huizhao & Hensher, David A., 2016. "Integrating the mean–variance and scheduling approaches to allow for schedule delay and trip time variability under uncertainty," Transportation Research Part A: Policy and Practice, Elsevier, vol. 89(C), pages 151-163.
    2. Dixit, Vinayak V. & Harb, Rami C. & Martínez-Correa, Jimmy & Rutström, Elisabet E., 2015. "Measuring risk aversion to guide transportation policy: Contexts, incentives, and respondents," Transportation Research Part A: Policy and Practice, Elsevier, vol. 80(C), pages 15-34.
    3. Zhaoqi Zang & Richard Batley & Xiangdong Xu & David Z. W. Wang, 2022. "On the value of distribution tail in the valuation of travel time variability," Papers 2207.06293, arXiv.org, revised Dec 2023.
    4. Li, Zheng, 2018. "Unobserved and observed heterogeneity in risk attitudes: Implications for valuing travel time savings and travel time variability," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 112(C), pages 12-18.
    5. Quentin Max David & Moez Kilani, 2022. "Transport policies in polycentric cities," ULB Institutional Repository 2013/355063, ULB -- Universite Libre de Bruxelles.
    6. Li, Zheng & Hensher, David A. & Rose, John M., 2010. "Willingness to pay for travel time reliability in passenger transport: A review and some new empirical evidence," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(3), pages 384-403, May.
    7. Li, Baibing, 2019. "Measuring travel time reliability and risk: A nonparametric approach," Transportation Research Part B: Methodological, Elsevier, vol. 130(C), pages 152-171.
    8. Jie Liu & Paul Schonfeld & Jinqu Chen & Yong Yin & Qiyuan Peng, 2021. "Perceived Trip Time Reliability and Its Cost in a Rail Transit Network," Sustainability, MDPI, vol. 13(13), pages 1-22, July.
    9. Shams, Kollol & Asgari, Hamidreza & Jin, Xia, 2017. "Valuation of travel time reliability in freight transportation: A review and meta-analysis of stated preference studies," Transportation Research Part A: Policy and Practice, Elsevier, vol. 102(C), pages 228-243.
    10. Zhaoqi Zang & Xiangdong Xu & Kai Qu & Ruiya Chen & Anthony Chen, 2022. "Travel time reliability in transportation networks: A review of methodological developments," Papers 2206.12696, arXiv.org, revised Jul 2022.
    11. Bimpou, Konstantina & Ferguson, Neil S., 2020. "Dynamic accessibility: Incorporating day-to-day travel time reliability into accessibility measurement," Journal of Transport Geography, Elsevier, vol. 89(C).
    12. Xiao, Yu & Coulombel, Nicolas & Palma, André de, 2017. "The valuation of travel time reliability: does congestion matter?," Transportation Research Part B: Methodological, Elsevier, vol. 97(C), pages 113-141.
    13. Eric Kroes & Paul Koster & Stefanie Peer, 2018. "A practical method to estimate the benefits of improved road network reliability: an application to departing air passengers," Transportation, Springer, vol. 45(5), pages 1433-1448, September.
    14. Emily K. M. Moylan & Michiel C. J. Bliemer & Taha Hossein Rashidi, 2022. "Travellers’ perceptions of travel time reliability in the presence of rare events," Transportation, Springer, vol. 49(4), pages 1157-1181, August.
    15. Eliasson, Jonas, 2019. "Modelling reliability benefits," MPRA Paper 94817, University Library of Munich, Germany.

  27. Smits, Erik-Sander & Bliemer, Michiel C.J. & Pel, Adam J. & van Arem, Bart, 2015. "A family of macroscopic node models," Transportation Research Part B: Methodological, Elsevier, vol. 74(C), pages 20-39.

    Cited by:

    1. Bliemer, Michiel C.J. & Raadsen, Mark P.H., 2019. "Continuous-time general link transmission model with simplified fanning, Part I: Theory and link model formulation," Transportation Research Part B: Methodological, Elsevier, vol. 126(C), pages 442-470.
    2. Raadsen, Mark P.H. & Bliemer, Michiel C.J., 2019. "Continuous-time general link transmission model with simplified fanning, Part II: Event-based algorithm for networks," Transportation Research Part B: Methodological, Elsevier, vol. 126(C), pages 471-501.
    3. Himpe, Willem & Corthout, Ruben & Tampère, M.J. Chris, 2016. "An efficient iterative link transmission model," Transportation Research Part B: Methodological, Elsevier, vol. 92(PB), pages 170-190.
    4. Flötteröd, G. & Osorio, C., 2017. "Stochastic network link transmission model," Transportation Research Part B: Methodological, Elsevier, vol. 102(C), pages 180-209.
    5. Jabari, Saif Eddin, 2016. "Node modeling for congested urban road networks," Transportation Research Part B: Methodological, Elsevier, vol. 91(C), pages 229-249.
    6. Panda, Manoj & Ngoduy, Dong & Vu, Hai L., 2019. "Multiple model stochastic filtering for traffic density estimation on urban arterials," Transportation Research Part B: Methodological, Elsevier, vol. 126(C), pages 280-306.
    7. Brederode, Luuk & Pel, Adam & Wismans, Luc & Rijksen, Bernike & Hoogendoorn, Serge, 2023. "Travel demand matrix estimation for strategic road traffic assignment models with strict capacity constraints and residual queues," Transportation Research Part B: Methodological, Elsevier, vol. 167(C), pages 1-31.
    8. Ngoduy, D. & Hoang, N.H. & Vu, H.L. & Watling, D., 2016. "Optimal queue placement in dynamic system optimum solutions for single origin-destination traffic networks," Transportation Research Part B: Methodological, Elsevier, vol. 92(PB), pages 148-169.
    9. Satsukawa, Koki & Wada, Kentaro & Watling, David, 2022. "Dynamic system optimal traffic assignment with atomic users: Convergence and stability," Transportation Research Part B: Methodological, Elsevier, vol. 155(C), pages 188-209.
    10. Wang, Yi & Szeto, W.Y. & Han, Ke & Friesz, Terry L., 2018. "Dynamic traffic assignment: A review of the methodological advances for environmentally sustainable road transportation applications," Transportation Research Part B: Methodological, Elsevier, vol. 111(C), pages 370-394.
    11. Wright, Matthew A. & Gomes, Gabriel & Horowitz, Roberto & Kurzhanskiy, Alex A., 2017. "On node models for high-dimensional road networks," Transportation Research Part B: Methodological, Elsevier, vol. 105(C), pages 212-234.
    12. Bliemer, Michiel C.J. & Raadsen, Mark P.H., 2020. "Static traffic assignment with residual queues and spillback," Transportation Research Part B: Methodological, Elsevier, vol. 132(C), pages 303-319.
    13. Jin, Wen-Long, 2017. "A Riemann solver for a system of hyperbolic conservation laws at a general road junction," Transportation Research Part B: Methodological, Elsevier, vol. 98(C), pages 21-41.

  28. Zhou, Bojian & Bliemer, Michiel & Yang, Hai & He, Jie, 2015. "A trial-and-error congestion pricing scheme for networks with elastic demand and link capacity constraints," Transportation Research Part B: Methodological, Elsevier, vol. 72(C), pages 77-92.

    Cited by:

    1. Mamdoohi, Sohrab & Miller-Hooks, Elise & Gifford, Jonathan, 2023. "An equilibrium approach for compensating public–private partnership concessionaires for reduced tolls during roadway maintenance," Transportation Research Part A: Policy and Practice, Elsevier, vol. 175(C).
    2. Guo, Ren-Yong & Szeto, W.Y. & Long, Jiancheng, 2020. "Trial-and-error operation schemes for bimodal transport systems," Transportation Research Part B: Methodological, Elsevier, vol. 131(C), pages 106-123.
    3. Xinyuan Chen & Yiran Wang & Yuan Zhang, 2021. "A Trial-and-Error Toll Design Method for Traffic Congestion Mitigation on Large River-Crossing Channels in a Megacity," Sustainability, MDPI, vol. 13(5), pages 1-13, March.
    4. Xiaomei Dong & Xingju Cai & Deren Han & Zhili Ge, 2020. "Solving a Class of Variational Inequality Problems with a New Inexact Strategy," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 37(01), pages 1-20, January.
    5. Ren-Yong Guo & Hai-Jun Huang & Hai Yang, 2019. "Tradable Credit Scheme for Control of Evolutionary Traffic Flows to System Optimum: Model and its Convergence," Networks and Spatial Economics, Springer, vol. 19(3), pages 833-868, September.
    6. Wei Huang & Yang Hu & Xuanyu Zhang, 2022. "Enhancing Model-Based Anticipatory Traffic Signal Control with Metamodeling and Adaptive Optimization," Mathematics, MDPI, vol. 10(15), pages 1-18, July.
    7. Farokhi, Farhad & Johansson, Karl H., 2015. "A piecewise-constant congestion taxing policy for repeated routing games," Transportation Research Part B: Methodological, Elsevier, vol. 78(C), pages 123-143.
    8. Huo, Jinbiao & Liu, Zhiyuan & Chen, Jingxu & Cheng, Qixiu & Meng, Qiang, 2023. "Bayesian optimization for congestion pricing problems: A general framework and its instability," Transportation Research Part B: Methodological, Elsevier, vol. 169(C), pages 1-28.
    9. Lie Han, 2022. "Proportional-Switch Adjustment Process with Elastic Demand and Congestion Toll in the Absence of Demand Functions," Networks and Spatial Economics, Springer, vol. 22(4), pages 709-735, December.
    10. Chen, Xinyuan & Zhang, Wei & Guo, Xiaomeng & Liu, Zhiyuan & Wang, Shuaian, 2021. "An improved learning-and-optimization train fare design method for addressing commuting congestion at CBD stations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 153(C).
    11. Ye, Hongbo & Yang, Hai & Tan, Zhijia, 2015. "Learning marginal-cost pricing via a trial-and-error procedure with day-to-day flow dynamics," Transportation Research Part B: Methodological, Elsevier, vol. 81(P3), pages 794-807.
    12. Wang, Shuaian & Zhang, Wei & Qu, Xiaobo, 2018. "Trial-and-error train fare design scheme for addressing boarding/alighting congestion at CBD stations," Transportation Research Part B: Methodological, Elsevier, vol. 118(C), pages 318-335.

  29. Bliemer, Michiel C.J. & Raadsen, Mark P.H. & Smits, Erik-Sander & Zhou, Bojian & Bell, Michael G.H., 2014. "Quasi-dynamic traffic assignment with residual point queues incorporating a first order node model," Transportation Research Part B: Methodological, Elsevier, vol. 68(C), pages 363-384.

    Cited by:

    1. Raadsen, Mark P.H. & Bliemer, Michiel C.J., 2019. "Continuous-time general link transmission model with simplified fanning, Part II: Event-based algorithm for networks," Transportation Research Part B: Methodological, Elsevier, vol. 126(C), pages 471-501.
    2. Himpe, Willem & Corthout, Ruben & Tampère, M.J. Chris, 2016. "An efficient iterative link transmission model," Transportation Research Part B: Methodological, Elsevier, vol. 92(PB), pages 170-190.
    3. Temelcan, Gizem & Kocken, Hale Gonce & Albayrak, Inci, 2021. "Fuzzy modelling of static system optimum traffic assignment problem having multi origin-destination pair," Socio-Economic Planning Sciences, Elsevier, vol. 77(C).
    4. Wei Huang & Guangming Xu & Hong K. Lo, 2020. "Pareto-Optimal Sustainable Transportation Network Design under Spatial Queuing," Networks and Spatial Economics, Springer, vol. 20(3), pages 637-673, September.
    5. Jiancheng Long & Wai Yuen Szeto, 2019. "Link-Based System Optimum Dynamic Traffic Assignment Problems in General Networks," Operations Research, INFORMS, vol. 67(1), pages 167-182, January.
    6. Pel, Adam J. & Chaniotakis, Emmanouil, 2017. "Stochastic user equilibrium traffic assignment with equilibrated parking search routes," Transportation Research Part B: Methodological, Elsevier, vol. 101(C), pages 123-139.
    7. Jabari, Saif Eddin, 2016. "Node modeling for congested urban road networks," Transportation Research Part B: Methodological, Elsevier, vol. 91(C), pages 229-249.
    8. Raadsen, Mark P.H. & Bliemer, Michiel C.J., 2019. "Steady-state link travel time methods: Formulation, derivation, classification, and unification," Transportation Research Part B: Methodological, Elsevier, vol. 122(C), pages 167-191.
    9. Brederode, Luuk & Pel, Adam & Wismans, Luc & Rijksen, Bernike & Hoogendoorn, Serge, 2023. "Travel demand matrix estimation for strategic road traffic assignment models with strict capacity constraints and residual queues," Transportation Research Part B: Methodological, Elsevier, vol. 167(C), pages 1-31.
    10. Raadsen, Mark P.H. & Bliemer, Michiel C.J., 2023. "General solution scheme for the static link transmission model," Transportation Research Part B: Methodological, Elsevier, vol. 169(C), pages 108-135.
    11. Wang, Yi & Szeto, W.Y. & Han, Ke & Friesz, Terry L., 2018. "Dynamic traffic assignment: A review of the methodological advances for environmentally sustainable road transportation applications," Transportation Research Part B: Methodological, Elsevier, vol. 111(C), pages 370-394.
    12. Bliemer, Michiel C.J. & Raadsen, Mark P.H., 2020. "Static traffic assignment with residual queues and spillback," Transportation Research Part B: Methodological, Elsevier, vol. 132(C), pages 303-319.
    13. Smith, Mike & Huang, Wei & Viti, Francesco & Tampère, Chris M.J. & Lo, Hong K., 2019. "Quasi-dynamic traffic assignment with spatial queueing, control and blocking back," Transportation Research Part B: Methodological, Elsevier, vol. 122(C), pages 140-166.

  30. Greiner, Romy & Bliemer, Michiel & Ballweg, Julie, 2014. "Design considerations of a choice experiment to estimate likely participation by north Australian pastoralists in contractual biodiversity conservation," Journal of choice modelling, Elsevier, vol. 10(C), pages 34-45.

    Cited by:

    1. Krah, Kwabena & Michelson, Hope & Perge, Emilie & Jindal, Rohit, 2019. "Constraints to adopting soil fertility management practices in Malawi: A choice experiment approach," World Development, Elsevier, vol. 124(C), pages 1-1.
    2. Sardaro, Ruggiero & Faccilongo, Nicola & Roselli, Luigi, 2019. "Wind farms, farmland occupation and compensation: Evidences from landowners’ preferences through a stated choice survey in Italy," Energy Policy, Elsevier, vol. 133(C).
    3. Cortés-Capano, Gonzalo & Hanley, Nick & Sheremet, Oleg & Hausmann, Anna & Toivonen, Tuuli & Garibotto-Carton, Gustavo & Soutullo, Alvaro & Di Minin, Enrico, 2021. "Assessing landowners’ preferences to inform voluntary private land conservation: The role of non-monetary incentives," Land Use Policy, Elsevier, vol. 109(C).
    4. Herring, Matthew W. & Garnett, Stephen T. & Zander, Kerstin K., 2022. "Producing rice while conserving the habitat of an endangered waterbird: Incentives for farmers to integrate water management," Land Use Policy, Elsevier, vol. 120(C).
    5. Que, Sisi & Awuah-Offei, Kwame & Weidner, Nathan & Wang, Yumin, 2017. "Discrete choice experiment validation: A resource project case study," Journal of choice modelling, Elsevier, vol. 22(C), pages 39-50.
    6. Benoit Chèze & Maia M. David & Vincent Martinet, 2019. "Understanding Farmers' Reluctance to Reduce Pesticides use : a Choice Experiment [Comprendre la réticence des agriculteurs à réduire l'utilisation des pesticides : une expérience de choix]," Working Papers hal-03192158, HAL.
    7. Lizin, Sebastien & Van Passel, Steven & Schreurs, Eloi, 2015. "Farmres' Perceived Cost of Land Use restrictions: A Simulated Purchasing Decision Using Dscrete Choice Experiments," 2015 Conference, August 9-14, 2015, Milan, Italy 212054, International Association of Agricultural Economists.
    8. Hansen, Kristiana & Duke, Esther & Bond, Craig & Purcell, Melanie & Paige, Ginger, 2018. "Rancher Preferences for a Payment for Ecosystem Services Program in Southwestern Wyoming," Ecological Economics, Elsevier, vol. 146(C), pages 240-249.
    9. Adriano Bisello, 2020. "Assessing Multiple Benefits of Housing Regeneration and Smart City Development: The European Project SINFONIA," Sustainability, MDPI, vol. 12(19), pages 1-28, September.
    10. Quynh, Chi Nguyen Thi & Schilizzi, Steven & Hailu, Atakelty & Iftekhar, Sayed, 2018. "Fishers' Preference Heterogeneity and Trade-offs Between Design Options for More Effective Monitoring of Fisheries," Ecological Economics, Elsevier, vol. 151(C), pages 22-33.
    11. Liuyang Yao & Minjuan Zhao & Yu Cai & Zhaowei Yin, 2018. "Public Preferences for the Design of a Farmland Retirement Project: Using Choice Experiments in Urban and Rural Areas of Wuwei, China," Sustainability, MDPI, vol. 10(5), pages 1-16, May.
    12. Henson, Andrew F. & Rogers, Abbie A. & Gibson, Fiona L. & Burton, Michael P., 2018. "Value of Grower Group Services to Western Australian Farmers: a Discrete Choice Experiment," Working Papers 270160, University of Western Australia, School of Agricultural and Resource Economics.
    13. Habtamu Tilahun Kassahun & Bo Jellesmark Thorsen & Joffre Swait & Jette Bredahl Jacobsen, 2020. "Social Cooperation in the Context of Integrated Private and Common Land Management," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 75(1), pages 105-136, January.
    14. Yang, Xiaoke & Chen, Qiuhua & Lin, Nenmei & Han, Mengzhu & Chen, Qian & Zheng, Qiuqin & Gao, Bin & Liu, Fengbo & Xu, Zhongyue, 2021. "Chinese consumer preferences for organic labels on Oolong tea: evidence from a choice experiment," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 24(3), February.
    15. Raviv, Orna & Tchetchik, Anat & Lotan, Alon & Izhaki, Ido & Zemah Shamir, Shiri, 2021. "Direct and indirect valuation of air-quality regulation service as reflected in the preferences towards distinct types of landscape in a biosphere reserve," Ecological Economics, Elsevier, vol. 180(C).
    16. Bennett, Michael T. & Gong, Yazhen & Scarpa, Riccardo, 2018. "Hungry Birds and Angry Farmers: Using Choice Experiments to Assess “Eco-compensation” for Coastal Wetlands Protection in China," Ecological Economics, Elsevier, vol. 154(C), pages 71-87.
    17. Sardaro, Ruggiero & La Sala, Piermichele & De Pascale, Gianluigi & Faccilongo, Nicola, 2021. "The conservation of cultural heritage in rural areas: Stakeholder preferences regarding historical rural buildings in Apulia, southern Italy," Land Use Policy, Elsevier, vol. 109(C).
    18. Ruggiero Sardaro & Nicola Faccilongo & Francesco Contò & Piermichele La Sala, 2021. "Adaption Actions to Cope with Climate Change: Evidence from Farmers’ Preferences on an Agrobiodiversity Conservation Programme in the Mediterranean Area," Sustainability, MDPI, vol. 13(11), pages 1-17, May.
    19. Martínez-Moya, Julián & Feo-Valero, María, 2022. "Do shippers’ characteristics influence port choice criteria? Capturing heterogeneity by using latent class models," Transport Policy, Elsevier, vol. 116(C), pages 96-105.
    20. Xiaoke Yang & Yuanhao Huang & Mengzhu Han & Xiaoting Wen & Qiuqin Zheng & Qian Chen & Qiuhua Chen, 2021. "The Differential Effects of Physical Activity Calorie Equivalent Labeling on Consumer Preferences for Healthy and Unhealthy Food Products: Evidence from a Choice Experiment," IJERPH, MDPI, vol. 18(4), pages 1-16, February.
    21. Tyllianakis, Emmanouil & Martin-Ortega, Julia & Ziv, Guy & Chapman, Pippa J. & Holden, Joseph & Cardwell, Michael & Fyfe, Duncan, 2023. "A window into land managers’ preferences for new forms of agri-environmental schemes: Evidence from a post-Brexit analysis," Land Use Policy, Elsevier, vol. 129(C).
    22. Dekker, Thijs & Hess, Stephane & Brouwer, Roy & Hofkes, Marjan, 2016. "Decision uncertainty in multi-attribute stated preference studies," Resource and Energy Economics, Elsevier, vol. 43(C), pages 57-73.
    23. Regier, Dean A. & Sicsic, Jonathan & Watson, Verity, 2019. "Choice certainty and deliberative thinking in discrete choice experiments. A theoretical and empirical investigation," Journal of Economic Behavior & Organization, Elsevier, vol. 164(C), pages 235-255.
    24. Haile, Kaleab K. & Tirivayi, Nyasha & Tesfaye, Wondimagegn, 2019. "Farmers’ willingness to accept payments for ecosystem services on agricultural land: The case of climate-smart agroforestry in Ethiopia," Ecosystem Services, Elsevier, vol. 39(C).
    25. Romy Greiner, 2023. "Examining Participation in and Supply of Private Land for Voluntary Conservation in Australia’s Tropical Savannas: A Discrete-Continuous Choice Experiment," Land, MDPI, vol. 12(7), pages 1-19, June.
    26. Sriwastava, Ambuj & Reichert, Peter, 2023. "Reducing sample size requirements by extending discrete choice experiments to indifference elicitation," Journal of choice modelling, Elsevier, vol. 48(C).
    27. Lim, Siew & Wachenheim, Cheryl, 2022. "Predicted enrollment in alternative attribute Conservation Reserve Program contracts," Land Use Policy, Elsevier, vol. 117(C).
    28. Greiner, Romy, 2014. "Willingness of north Australian pastoralists and graziers to participate in contractual biodiversity conservation," 2014 Conference (58th), February 4-7, 2014, Port Macquarie, Australia 165839, Australian Agricultural and Resource Economics Society.
    29. Greiner, Romy, 2015. "Motivations and attitudes influence farmers' willingness to participate in biodiversity conservation contracts," Agricultural Systems, Elsevier, vol. 137(C), pages 154-165.
    30. Thompson, Benjamin S. & Primavera, Jurgenne H. & Friess, Daniel A., 2017. "Governance and implementation challenges for mangrove forest Payments for Ecosystem Services (PES): Empirical evidence from the Philippines," Ecosystem Services, Elsevier, vol. 23(C), pages 146-155.
    31. Jeanloz, Sarah & Lizin, Sebastien & Beenaerts, Natalie & Brouwer, Roy & Van Passel, Steven & Witters, Nele, 2016. "Towards a more structured selection process for attributes and levels in choice experiments: A study in a Belgian protected area," Ecosystem Services, Elsevier, vol. 18(C), pages 45-57.
    32. Pranab Jyoti Das & Aneet Kour & Sourabh Deori & Safeeda Sultana Begum & Martina Pukhrambam & Sanjit Maiti & Jayakumar Sivalingam & Vijay Paul & Mihir Sarkar, 2022. "Characterization of Arunachali Yak: A Roadmap for Pastoral Sustainability of Yaks in India," Sustainability, MDPI, vol. 14(19), pages 1-20, October.
    33. Feo-Valero, María & Martínez-Moya, Julián, 2022. "Shippers vs. freight forwarders: Do they differ in their port choice decisions? Evidence from the Spanish ceramic tile industry," Research in Transportation Economics, Elsevier, vol. 95(C).
    34. Soliño, M. & Alía, R. & Agúndez, D., 2020. "Citizens' preferences for research programs on forest genetic resources: A case applied to Pinus pinaster Ait. in Spain," Forest Policy and Economics, Elsevier, vol. 118(C).
    35. Yao, Liuyang & Sui, Bo, 2020. "Heterogeneous preferences for shale water management: Evidence from a choice experiment in Fuling shale gas field, southwest China," Energy Policy, Elsevier, vol. 147(C).

  31. Alejandro Tirachini & David Hensher & Michiel Bliemer, 2014. "Accounting for travel time variability in the optimal pricing of cars and buses," Transportation, Springer, vol. 41(5), pages 947-971, September.

    Cited by:

    1. Maciej Kruszyna & Przemysław Śleszyński & Jeremi Rychlewski, 2021. "Dependencies between Demographic Urbanization and the Agglomeration Road Traffic Volumes: Evidence from Poland," Land, MDPI, vol. 10(1), pages 1-22, January.
    2. Li, Yanan & Li, Xiang & Zhang, Sicheng, 2021. "Optimal pricing of customized bus services and ride-sharing based on a competitive game model," Omega, Elsevier, vol. 103(C).
    3. Loder, Allister & Bliemer, Michiel C.J. & Axhausen, Kay W., 2022. "Optimal pricing and investment in a multi-modal city — Introducing a macroscopic network design problem based on the MFD," Transportation Research Part A: Policy and Practice, Elsevier, vol. 156(C), pages 113-132.
    4. Hörcher, Daniel & Tirachini, Alejandro, 2021. "A review of public transport economics," Economics of Transportation, Elsevier, vol. 25(C).
    5. Börjesson, Maria & Fung, Chau Man & Proost, Stef & Yan, Zifei, 2017. "Cycling tolls and optimal number of bus stops: the importance of congestion and crowding," Working papers in Transport Economics 2017:10, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    6. Durán-Hormazábal, Elsa & Tirachini, Alejandro, 2016. "Estimation of travel time variability for cars, buses, metro and door-to-door public transport trips in Santiago, Chile," Research in Transportation Economics, Elsevier, vol. 59(C), pages 26-39.
    7. Nyaki Prosper S. & Bwire Hannibal & Mushule Nurdin K., 2020. "Travel Time Reliability of Bus Operation in Heterogeneous Traffic Conditions of Dar es Salaam City, Tanzania," LOGI – Scientific Journal on Transport and Logistics, Sciendo, vol. 11(2), pages 44-55, November.
    8. Börjesson, Maria & Fung, Chau Man & Proost, Stef & Yan, Zifei, 2018. "Do buses hinder cyclists or is it the other way around? Optimal bus fares, bus stops and cycling tolls," Transportation Research Part A: Policy and Practice, Elsevier, vol. 111(C), pages 326-346.
    9. Tirachini, Alejandro & Antoniou, Constantinos, 2020. "The economics of automated public transport: Effects on operator cost, travel time, fare and subsidy," Economics of Transportation, Elsevier, vol. 21(C).
    10. Rojo, Marta & dell’Olio, Luigi & Gonzalo-Orden, Hernán & Ibeas, Ángel, 2015. "Inclusion of quality criteria in public bus service contracts in metropolitan areas," Transport Policy, Elsevier, vol. 42(C), pages 52-63.
    11. Godachevich, Javiera & Tirachini, Alejandro, 2021. "Does the measured performance of bus operators depend on the index chosen to assess reliability in contracts? An analysis of bus headway variability," Research in Transportation Economics, Elsevier, vol. 90(C).

  32. Hensher, David A. & Bliemer, Michiel C.J., 2014. "What type of road pricing scheme might appeal to politicians? Viewpoints on the challenge in gaining the citizen and public servant vote by staging reform," Transportation Research Part A: Policy and Practice, Elsevier, vol. 61(C), pages 227-237.

    Cited by:

    1. Tariq Munir & Hussein Dia & Hadi Ghaderi, 2021. "A Systematic Review of the Role of Road Network Pricing in Shaping Sustainable Cities: Lessons Learned and Opportunities for a Post-Pandemic World," Sustainability, MDPI, vol. 13(21), pages 1-20, October.
    2. Lennox, James & Dixon, Janine, 2018. "A spatial general equilibrium analysis of transport policies in Sydney, Australia," Conference papers 333006, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    3. Cavallaro, Federico & Giaretta, Federico & Nocera, Silvio, 2018. "The potential of road pricing schemes to reduce carbon emissions," Transport Policy, Elsevier, vol. 67(C), pages 85-92.
    4. Wong, Yale Z. & Hensher, David A. & Mulley, Corinne, 2020. "Mobility as a service (MaaS): Charting a future context," Transportation Research Part A: Policy and Practice, Elsevier, vol. 131(C), pages 5-19.
    5. Hensher, David A. & Wei, Edward & Beck, MatthewJ. & Balbontin, Camila, 2021. "The impact of COVID-19 on cost outlays for car and public transport commuting - The case of the Greater Sydney Metropolitan Area after three months of restrictions," Transport Policy, Elsevier, vol. 101(C), pages 71-80.
    6. David A. Hensher & Edward Wei & Wen Liu & Loan Ho & Chinh Ho, 2023. "Development of a practical aggregate spatial road freight modal demand model system for truck and commodity movements with an application of a distance-based charging regime," Transportation, Springer, vol. 50(3), pages 1031-1071, June.
    7. Merkert, Rico & Beck, Matthew J. & Bushell, James, 2021. "Will It Fly? Adoption of the road pricing framework to manage drone use of airspace," Transportation Research Part A: Policy and Practice, Elsevier, vol. 150(C), pages 156-170.
    8. Galit Cohen-Blankshtain & Hillel Bar-Gera & Yoram Shiftan, 2023. "Congestion pricing and positive incentives: conceptual analysis and empirical findings from Israel," Transportation, Springer, vol. 50(2), pages 607-633, April.
    9. Grisolía, José M. & López, Francisco & Ortúzar, Juan de Dios, 2015. "Increasing the acceptability of a congestion charging scheme," Transport Policy, Elsevier, vol. 39(C), pages 37-47.
    10. Hensher, David A. & Wei, Edward & Liu, Wen, 2021. "Battery electric vehicles in cities: Measurement of some impacts on traffic and government revenue recovery," Journal of Transport Geography, Elsevier, vol. 94(C).

  33. John Rose & Michiel Bliemer, 2013. "Sample size requirements for stated choice experiments," Transportation, Springer, vol. 40(5), pages 1021-1041, September.

    Cited by:

    1. Larranaga, Ana Margarita & Arellana, Julian & Senna, Luiz Afonso, 2017. "Encouraging intermodality: A stated preference analysis of freight mode choice in Rio Grande do Sul," Transportation Research Part A: Policy and Practice, Elsevier, vol. 102(C), pages 202-211.
    2. Rocchi, L. & Campioni, R. & Brunori, A. & Mariano, E., 2023. "Environmental certification of woody charcoal: A choice experiments application," Forest Policy and Economics, Elsevier, vol. 154(C).
    3. Sadhukhan, Shubhajit & Banerjee, Uttam K. & Maitra, Bhargab, 2017. "Rationality of fare increment for improvement of transfer facilities at metro stations: An experience in Kolkata," Transport Policy, Elsevier, vol. 58(C), pages 31-38.
    4. Bliemer, Michiel C.J. & Collins, Andrew T., 2016. "On determining priors for the generation of efficient stated choice experimental designs," Journal of choice modelling, Elsevier, vol. 21(C), pages 10-14.
    5. Canessa, Carolin & Venus, Terese E. & Wiesmeier, Miriam & Mennig, Philipp & Sauer, Johannes, 2023. "Incentives, Rewards or Both in Payments for Ecosystem Services: Drawing a Link Between Farmers' Preferences and Biodiversity Levels," Ecological Economics, Elsevier, vol. 213(C).
    6. Kessels, Roselinde, 2016. "Homogeneous versus heterogeneous designs for stated choice experiments: Ain't homogeneous designs all bad?," Journal of choice modelling, Elsevier, vol. 21(C), pages 2-9.
    7. Zijlstra, Toon & Goos, Peter & Verhetsel, Ann, 2019. "A mixture-amount stated preference study on the mobility budget," Transportation Research Part A: Policy and Practice, Elsevier, vol. 126(C), pages 230-246.
    8. Greiner, Romy & Bliemer, Michiel & Ballweg, Julie, 2014. "Design considerations of a choice experiment to estimate likely participation by north Australian pastoralists in contractual biodiversity conservation," Journal of choice modelling, Elsevier, vol. 10(C), pages 34-45.
    9. Hotaling, Chelsea & Bird, Stephen & Heintzelman, Martin D., 2021. "Willingness to pay for microgrids to enhance community resilience," Energy Policy, Elsevier, vol. 154(C).
    10. Eneko Echaniz & Chinh Ho & Andres Rodriguez & Luigi dell’Olio, 2020. "Modelling user satisfaction in public transport systems considering missing information," Transportation, Springer, vol. 47(6), pages 2903-2921, December.
    11. Pascoe, Sean & Doshi, Amar & Kovac, Mladen & Austin, Angelica, 2019. "Estimating coastal and marine habitat values by combining multi-criteria methods with choice experiments," Ecosystem Services, Elsevier, vol. 38(C), pages 1-1.
    12. van Cranenburgh, Sander & Bliemer, Michiel C.J., 2019. "Information theoretic-based sampling of observations," Journal of choice modelling, Elsevier, vol. 31(C), pages 181-197.
    13. Arkoudi, Ioanna & Krueger, Rico & Azevedo, Carlos Lima & Pereira, Francisco C., 2023. "Combining discrete choice models and neural networks through embeddings: Formulation, interpretability and performance," Transportation Research Part B: Methodological, Elsevier, vol. 175(C).
    14. Scarpa, Riccardo & Rose, John M., 2008. "Design efficiency for non-market valuation with choice modelling: how to measure it, what to report and why," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 52(3), pages 1-30.
    15. Yunyi Liang & Jinjun Tang & Zhizhou Wu & Mei Jia, 2023. "Influence of Psychological and Socioeconomic Factors on Purchase Likelihood for Autonomous Vehicles: A Hybrid Choice Modeling Approach," Sustainability, MDPI, vol. 15(21), pages 1-21, October.
    16. Chinedu, Obi & Sanou, Edouard & Tur-Cardona, Juan & Bartolini, Fabio & Gheysen, Godelieve & Speelman, Stijn, 2018. "Farmers’ valuation of transgenic biofortified sorghum for nutritional improvement in Burkina Faso: A latent class approach," Food Policy, Elsevier, vol. 79(C), pages 132-140.
    17. Brett, Daniel F. & Melo, Oscar, 2010. "The Impact Of Health, Environmental And Social Attributes Of Salmon Choice In The United States," 115th Joint EAAE/AAEA Seminar, September 15-17, 2010, Freising-Weihenstephan, Germany 116398, European Association of Agricultural Economists.
    18. Pauline Laille & Marianne Lefebvre & Masha Maslianskaia-Pautrel, 2020. "Individual preferences regarding pesticide-free management of green-spaces: a discret choice experiment with French citizens," Working Papers hal-02867639, HAL.
    19. Raux, Charles & Chevalier, Amandine & Bougna, Emmanuel & Hilton, Denis, 2021. "Mobility choices and climate change: Assessing the effects of social norms, emissions information and economic incentives," Research in Transportation Economics, Elsevier, vol. 90(C).
    20. Marcucci, Edoardo & Gatta, Valerio & Le Pira, Michela, 2018. "Gamification design to foster stakeholder engagement and behavior change: An application to urban freight transport," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 119-132.
    21. Yang, Jui-Chen & Johnson, F. Reed & Kilambi, Vikram & Mohamed, Ateesha F., 2015. "Sample size and utility-difference precision in discrete-choice experiments: A meta-simulation approach," Journal of choice modelling, Elsevier, vol. 16(C), pages 50-57.
    22. Sadhukhan, Shubhajit & Banerjee, Uttam K. & Maitra, Bhargab, 2016. "Commuters’ willingness-to-pay for improvement of transfer facilities in and around metro stations – A case study in Kolkata," Transportation Research Part A: Policy and Practice, Elsevier, vol. 92(C), pages 43-58.
    23. Benoit Chèze & Maia M. David & Vincent Martinet, 2019. "Understanding Farmers' Reluctance to Reduce Pesticides use : a Choice Experiment [Comprendre la réticence des agriculteurs à réduire l'utilisation des pesticides : une expérience de choix]," Working Papers hal-03192158, HAL.
    24. Verelst, Frederik & Willem, Lander & Kessels, Roselinde & Beutels, Philippe, 2018. "Individual decisions to vaccinate one's child or oneself: A discrete choice experiment rejecting free-riding motives," Social Science & Medicine, Elsevier, vol. 207(C), pages 106-116.
    25. Habib, Khandker Nurul, 2017. "Improving choice model parameter estimates by jointly modelling the SP choices with corresponding elicited certainty ratings," Transportation Research Part A: Policy and Practice, Elsevier, vol. 95(C), pages 305-319.
    26. van Cranenburgh, Sander & Collins, Andrew T., 2019. "New software tools for creating stated choice experimental designs efficient for regret minimisation and utility maximisation decision rules," Journal of choice modelling, Elsevier, vol. 31(C), pages 104-123.
    27. McKenzie, Jordi & Crosby, Paul & Cox, Joe & Collins, Alan, 2019. "Experimental evidence on demand for “on-demand” entertainment," Journal of Economic Behavior & Organization, Elsevier, vol. 161(C), pages 98-113.
    28. Nunez Godoy, Cristina C. & Pienaar, Elizabeth F. & Branch, Lyn C., 2022. "Willingness of private landowners to participate in forest conservation in the Chaco region of Argentina," Forest Policy and Economics, Elsevier, vol. 138(C).
    29. Strand, Jon & Carson, Richard T. & Navrud, Stale & Ortiz-Bobea, Ariel & Vincent, Jeffrey R., 2017. "Using the Delphi method to value protection of the Amazon rainforest," Ecological Economics, Elsevier, vol. 131(C), pages 475-484.
    30. Großmann, Heiko, 2019. "A practical approach to designing partial-profile choice experiments with two alternatives for estimating main effects and interactions of many two-level attributes," Journal of choice modelling, Elsevier, vol. 32(C), pages 1-1.
    31. Elin Spegel & Kristina Ek, 2022. "Valuing the Impacts of Landslides: A Choice Experiment Approach," Economics of Disasters and Climate Change, Springer, vol. 6(1), pages 163-181, March.
    32. Bera, Reema & Maitra, Bhargab, 2021. "Assessing consumer preferences for Plug-in Hybrid Electric Vehicle (PHEV): An Indian perspective," Research in Transportation Economics, Elsevier, vol. 90(C).
    33. Bliemer, Michiel C.J. & Rose, John M., 2010. "Construction of experimental designs for mixed logit models allowing for correlation across choice observations," Transportation Research Part B: Methodological, Elsevier, vol. 44(6), pages 720-734, July.
    34. Ioanna Arkoudi & Carlos Lima Azevedo & Francisco C. Pereira, 2021. "Combining Discrete Choice Models and Neural Networks through Embeddings: Formulation, Interpretability and Performance," Papers 2109.12042, arXiv.org, revised Sep 2021.
    35. Bliemer, Michiel C.J. & Rose, John M. & Chorus, Caspar G., 2017. "Detecting dominance in stated choice data and accounting for dominance-based scale differences in logit models," Transportation Research Part B: Methodological, Elsevier, vol. 102(C), pages 83-104.
    36. Haghani, Milad & Sarvi, Majid, 2018. "Hypothetical bias and decision-rule effect in modelling discrete directional choices," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 361-388.
    37. Gatto, Paola & Vidale, Enrico & Secco, Laura & Pettenella, Davide, 2014. "Exploring the willingness to pay for forest ecosystem services by residents of the Veneto Region," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 3(1), pages 1-23, April.
    38. Richard Yao & Riccardo Scarpa & John Rose & James Turner, 2015. "Experimental Design Criteria and Their Behavioural Efficiency: An Evaluation in the Field," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 62(3), pages 433-455, November.
    39. Mulley, Corinne & Ho, Chinh & Balbontin, Camila & Hensher, David & Stevens, Larissa & Nelson, John D. & Wright, Steve, 2020. "Mobility as a service in community transport in Australia: Can it provide a sustainable future?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 131(C), pages 107-122.
    40. Morrissey, Karyn & Plater, Andrew & Dean, Mary, 2018. "The cost of electric power outages in the residential sector: A willingness to pay approach," Applied Energy, Elsevier, vol. 212(C), pages 141-150.
    41. Jonathan Sicsic & Serge Blondel & Sandra Chyderiotis & François Langot & Judith E. Mueller, 2023. "Preferences for COVID-19 epidemic control measures among French adults: a discrete choice experiment," Post-Print halshs-03953980, HAL.
    42. Marianne Lefebvre & Masha Maslianskaia Pautrel & Pauline Laille, 2018. "Public preferences for pesticide-free urban green spaces: a socio-economic survey [Acceptation du "Zéro-pesticides" dans les espaces publics : Étude socio-économique]," Working Papers hal-02519184, HAL.
    43. Weng, Weizhe & Morrison, Mark D. & Boyle, Kevin J. & Boxall, Peter C. & Rose, John, 2021. "Effects of the number of alternatives in public good discrete choice experiments," Ecological Economics, Elsevier, vol. 182(C).
    44. Zhang, Rong & Zhu, Lichao, 2019. "Threshold incorporating freight choice modeling for hinterland leg transportation chain of export containers," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 858-872.
    45. Lilavanichakul, Apichaya & Boecker, Andreas, 2013. "Consumer Acceptance of a New Traceability Technology: A Discrete Choice Application to Ontario Ginseng," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 16(4), pages 1-26, November.
    46. Hammerle, Mara & White, Lee V. & Sturmberg, Bjorn, 2023. "Solar for renters: Investigating investor perspectives of barriers and policies," Energy Policy, Elsevier, vol. 174(C).
    47. van Cranenburgh, Sander & Rose, John M. & Chorus, Caspar G., 2018. "On the robustness of efficient experimental designs towards the underlying decision rule," Transportation Research Part A: Policy and Practice, Elsevier, vol. 109(C), pages 50-64.
    48. Samare P. I. Huls & Emily Lancsar & Bas Donkers & Jemimah Ride, 2022. "Two for the price of one: If moving beyond traditional single‐best discrete choice experiments, should we use best‐worst, best‐best or ranking for preference elicitation?," Health Economics, John Wiley & Sons, Ltd., vol. 31(12), pages 2630-2647, December.
    49. Wong, Stephen D & Chorus, Caspar G & Shaheen, Susan A & Walker, Joan L, 2020. "A Revealed Preference Methodology to Evaluate Regret Minimization with Challenging Choice Sets: A Wildfire Evacuation Case Study," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt2k12q9ph, Institute of Transportation Studies, UC Berkeley.
    50. Bliemer, Michiel C.J. & Rose, John M., 2011. "Experimental design influences on stated choice outputs: An empirical study in air travel choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(1), pages 63-79, January.
    51. Apurba Shee & Calum G. Turvey & Ana Marr, 2021. "Heterogeneous Demand and Supply for an Insurance‐linked Credit Product in Kenya: A Stated Choice Experiment Approach," Journal of Agricultural Economics, Wiley Blackwell, vol. 72(1), pages 244-267, February.
    52. Haile, Kaleab K. & Tirivayi, Nyasha & Tesfaye, Wondimagegn, 2019. "Farmers’ willingness to accept payments for ecosystem services on agricultural land: The case of climate-smart agroforestry in Ethiopia," Ecosystem Services, Elsevier, vol. 39(C).
    53. Genie, Mesfin G. & Ryan, Mandy & Krucien, Nicolas, 2021. "To pay or not to pay? Cost information processing in the valuation of publicly funded healthcare," Social Science & Medicine, Elsevier, vol. 276(C).
    54. Sydenham, Rikke Vognbjerg & Jarbøl, Dorte Ejg & Hansen, Malene Plejdrup & Justesen, Ulrik Stenz & Watson, Verity & Pedersen, Line Bjørnskov, 2022. "Prescribing antibiotics: Factors driving decision-making in general practice. A discrete choice experiment," Social Science & Medicine, Elsevier, vol. 305(C).
    55. Alwosheel, Ahmad & van Cranenburgh, Sander & Chorus, Caspar G., 2018. "Is your dataset big enough? Sample size requirements when using artificial neural networks for discrete choice analysis," Journal of choice modelling, Elsevier, vol. 28(C), pages 167-182.
    56. Milad Haghani & Majid Sarvi & Zahra Shahhoseini & Maik Boltes, 2016. "How Simple Hypothetical-Choice Experiments Can Be Utilized to Learn Humans’ Navigational Escape Decisions in Emergencies," PLOS ONE, Public Library of Science, vol. 11(11), pages 1-24, November.
    57. Bhatta, Manoj & Garnett, Stephen T. & Zander, Kerstin K., 2022. "Exploring options for a PES-like scheme to conserve red panda habitat and livelihood improvement in western Nepal," Ecosystem Services, Elsevier, vol. 53(C).
    58. Alba J. Collart & Matthew G. Interis, 2018. "Consumer Imperfect Information in the Market for Expired and Nearly Expired Foods and Implications for Reducing Food Waste," Sustainability, MDPI, vol. 10(11), pages 1-17, October.
    59. Nicolas Krucien & Jonathan Sicsic & Mandy Ryan, 2019. "For better or worse? Investigating the validity of best–worst discrete choice experiments in health," Health Economics, John Wiley & Sons, Ltd., vol. 28(4), pages 572-586, April.
    60. Fukushige, Tatsuya & Fitch, Dillon T. & Handy, Susan, 2022. "Can an Incentive-Based approach to rebalancing a Dock-less Bike-share system Work? Evidence from Sacramento, California," Transportation Research Part A: Policy and Practice, Elsevier, vol. 163(C), pages 181-194.
    61. Bansback, Nick & Hole, Arne Risa & Mulhern, Brendan & Tsuchiya, Aki, 2014. "Testing a discrete choice experiment including duration to value health states for large descriptive systems: Addressing design and sampling issues," Social Science & Medicine, Elsevier, vol. 114(C), pages 38-48.
    62. Hong Fu & Yuehua Zhang & Yinuo An & Li Zhou & Yanling Peng & Rong Kong & Calum G. Turvey, 2022. "Subjective and objective risk perceptions and the willingness to pay for agricultural insurance: evidence from an in-the-field choice experiment in rural China," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 47(1), pages 98-121, March.
    63. Zander, Kerstin K. & Straton, Anna, 2010. "An economic assessment of the value of tropical river ecosystem services: Heterogeneous preferences among Aboriginal and non-Aboriginal Australians," Ecological Economics, Elsevier, vol. 69(12), pages 2417-2426, October.
    64. Sriwastava, Ambuj & Reichert, Peter, 2023. "Reducing sample size requirements by extending discrete choice experiments to indifference elicitation," Journal of choice modelling, Elsevier, vol. 48(C).
    65. Nabipour, Mohammad & Rosenberg, Mark W. & Nasseri, Seyed Hadi, 2022. "The built environment, networks design, and safety features: An analysis of pedestrian commuting behavior in intermediate-sized cities," Transport Policy, Elsevier, vol. 129(C), pages 14-23.
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    70. Marianne Lefebvre & Pauline Laille & Masha Maslianskaia-Pautrel, 2020. "Individual preferences regarding pesticide-free management of green-spaces: a discret choice experiment with French citizens," Working Papers 2020.02, FAERE - French Association of Environmental and Resource Economists.
    71. Vincent,Jeffrey R. & Carson,Richard T. & Navrud,Stale & Ortiz Bobea,Ariel & Strand,Jon & Vincent,Jeffrey R. & Carson,Richard T. & Navrud,Stale & Ortiz Bobea,Ariel & Strand,Jon, 2014. "A"Delphi exercise"as a tool in Amazon rainforest valuation," Policy Research Working Paper Series 7143, The World Bank.
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    74. Vanessa M Adams & Robert L Pressey & Natalie Stoeckl, 2014. "Estimating Landholders’ Probability of Participating in a Stewardship Program, and the Implications for Spatial Conservation Priorities," PLOS ONE, Public Library of Science, vol. 9(6), pages 1-12, June.
    75. Ulf Liebe & Veronika A. Andorfer & Patricia A. Gwartney & Jürgen Meyerhoff, 2014. "Ethical Consumption and Social Context: Experimental Evidence from Germany and the United States," University of Bern Social Sciences Working Papers 7, University of Bern, Department of Social Sciences.

  34. Bliemer, Michiel C.J. & Rose, John M., 2013. "Confidence intervals of willingness-to-pay for random coefficient logit models," Transportation Research Part B: Methodological, Elsevier, vol. 58(C), pages 199-214.

    Cited by:

    1. Jaung, Wanggi & Putzel, Louis & Bull, Gary Q. & Guariguata, Manuel R. & Sumaila, Ussif Rashid, 2016. "Estimating demand for certification of forest ecosystem services: A choice experiment with Forest Stewardship Council certificate holders," Ecosystem Services, Elsevier, vol. 22(PA), pages 193-201.
    2. Bliemer, Michiel C.J. & Collins, Andrew T., 2016. "On determining priors for the generation of efficient stated choice experimental designs," Journal of choice modelling, Elsevier, vol. 21(C), pages 10-14.
    3. Canessa, Carolin & Venus, Terese E. & Wiesmeier, Miriam & Mennig, Philipp & Sauer, Johannes, 2023. "Incentives, Rewards or Both in Payments for Ecosystem Services: Drawing a Link Between Farmers' Preferences and Biodiversity Levels," Ecological Economics, Elsevier, vol. 213(C).
    4. Kruse, Tobias & Atkinson, Giles, 2022. "Understanding public support for international climate adaptation payments: Evidence from a choice experiment," Ecological Economics, Elsevier, vol. 194(C).
    5. Greene, David & Hossain, Anushah & Hofmann, Julia & Helfand, Gloria & Beach, Robert, 2018. "Consumer willingness to pay for vehicle attributes: What do we Know?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 258-279.
    6. Krah, Kwabena & Petrolia, Daniel & Williams, Angelica & Coble, Keith & Harri, Ardian & Rejesus, Roderick, 2015. "Producer preferences for contracts on a risky bioenergy crop," Working Papers 212483, Mississippi State University, Department of Agricultural Economics.
    7. Andrea Baldin & Trine Bille, 2018. "Modelling preference heterogeneity for theatre tickets: a discrete choice modelling approach on Royal Danish Theatre booking data," Applied Economics, Taylor & Francis Journals, vol. 50(5), pages 545-558, January.
    8. Mouter, Niek & de Ruijter, Annamarie & Ardine de Wit, G. & Lambooij, Mattijs S & van Wijhe, Maarten & van Exel, Job & Kessels, Roselinde, 2022. "“Please, you go first!” preferences for a COVID-19 vaccine among adults in the Netherlands," Social Science & Medicine, Elsevier, vol. 292(C).
    9. Scaccia, Luisa & Marcucci, Edoardo & Gatta, Valerio, 2023. "Prediction and confidence intervals of willingness-to-pay for mixed logit models," Transportation Research Part B: Methodological, Elsevier, vol. 167(C), pages 54-78.
    10. Martin Achtnicht & Daniel Osberghaus, 2019. "The Demand for Index‐Based Flood Insurance in a High‐Income Country," German Economic Review, Verein für Socialpolitik, vol. 20(2), pages 217-242, May.
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    12. Markova-Nenova, Nonka & Wätzold, Frank, 2018. "Fair to the cow or fair to the farmer? The preferences of conventional milk buyers for ethical attributes of milk," Land Use Policy, Elsevier, vol. 79(C), pages 223-239.
    13. Erping Jia & Yuanyuan Gu & Yingying Peng & Xianglin Li & Xiao Shen & Mingzhu Jiang & Juyang Xiong, 2020. "Preferences of Patients with Non-Communicable Diseases for Primary Healthcare Facilities: A Discrete Choice Experiment in Wuhan, China," IJERPH, MDPI, vol. 17(11), pages 1-15, June.
    14. Christine Peyron & Aurore Pélissier & Nicolas Krucien, 2021. "Preferences of the French Population Regarding Access to Genetic Information: A Discrete Choice Experiment," Economie et Statistique / Economics and Statistics, Institut National de la Statistique et des Etudes Economiques (INSEE), issue 524-525, pages 65-84.
    15. Kar Ho Lim & Michael Vassalos & Michael Reed, 2018. "Point-of-Sale Specific Willingness to Pay for Quality-Differentiated Beef," Sustainability, MDPI, vol. 10(7), pages 1-13, July.
    16. Hasan-Basri, Bakti & Mohd Mustafa, Muzafarshah & Bakar, Normizan, 2019. "Are Malaysian Consumers Willing to Pay for Hybrid Cars’ Attributes?," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 53(1), pages 121-134.
    17. Miller, Sini & Tait, Peter & Saunders, Caroline, 2015. "Estimating indigenous cultural values of freshwater: A choice experiment approach to Māori values in New Zealand," Ecological Economics, Elsevier, vol. 118(C), pages 207-214.
    18. Wen Lin & David L Ortega & Vincenzina Caputo, 2023. "Experimental quantity, mental budgeting and food choice: a discrete choice experiment application," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 50(2), pages 457-496.
    19. Sagebiel, Julian & Glenk, Klaus & Meyerhoff, Jürgen, 2017. "Spatially explicit demand for afforestation," Forest Policy and Economics, Elsevier, vol. 78(C), pages 190-199.
    20. Knoefel, Jan & Sagebiel, Julian & Yildiz, Özgür & Müller, Jakob R. & Rommel, Jens, 2018. "A consumer perspective on corporate governance in the energy transition: Evidence from a Discrete Choice Experiment in Germany," Energy Economics, Elsevier, vol. 75(C), pages 440-448.
    21. Markova-Nenova, Nonka & Wätzold, Frank, 2017. "Fairness to dairy cows or fairness to farmers: What counts more in the preferences of conventional milk buyers for ethical attributes of milk?," MPRA Paper 83066, University Library of Munich, Germany.
    22. Petrolia, Daniel, 2015. "Risk Preferences, Risk Perceptions, and Risky Food," Working Papers 212481, Mississippi State University, Department of Agricultural Economics.
    23. Balbontin, Camila & Hensher, David A., 2020. "Identifying the role of stated process strategies in business location decisions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 141(C).
    24. Andrea Baldin & Trine Bille, 2023. "The lost value for users of cultural institutions during the COVID-19 pandemic: a life satisfaction approach," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), vol. 70(2), pages 257-281, June.
    25. Morrissey, Karyn & Plater, Andrew & Dean, Mary, 2018. "The cost of electric power outages in the residential sector: A willingness to pay approach," Applied Energy, Elsevier, vol. 212(C), pages 141-150.
    26. Ardeshiri, Ali & Safarighouzhdi, Farshid & Hossein Rashidi, Taha, 2021. "Measuring willingness to pay for shared parking," Transportation Research Part A: Policy and Practice, Elsevier, vol. 152(C), pages 186-202.
    27. Maciej Sobolewski & Michał Paliński, 2017. "How much consumers value on-line privacy? Welfare assessment of new data protection regulation (GDPR)," Working Papers 2017-17, Faculty of Economic Sciences, University of Warsaw.
    28. Liu, Yun & Kong, Qingxia & de Bekker-Grob, Esther W., 2019. "Public preferences for health care facilities in rural China: A discrete choice experiment," Social Science & Medicine, Elsevier, vol. 237(C), pages 1-1.
    29. Svenningsen, Lea S. & Jacobsen, Jette Bredahl, 2018. "Testing the effect of changes in elicitation format, payment vehicle and bid range on the hypothetical bias for moral goods," Journal of choice modelling, Elsevier, vol. 29(C), pages 17-32.
    30. Thao Thai & Michiel Bliemer & Gang Chen & Jean Spinks & Sonja de New & Emily Lancsar, 2023. "Comparison of a full and partial choice set design in a labeled discrete choice experiment," Health Economics, John Wiley & Sons, Ltd., vol. 32(6), pages 1284-1304, June.
    31. Shi, Wei & Halstead, John M. & Huang, Ju-Chin, 2017. "Market Experience Matters: Status Quo Effect in the Economic Valuation of Consumer Preferences for Local Produce," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258290, Agricultural and Applied Economics Association.
    32. Lea S. Svenningsen, 2019. "Social preferences for distributive outcomes of climate policy," Climatic Change, Springer, vol. 157(2), pages 319-336, November.
    33. Sobolewski, Maciej, 2021. "Measuring consumer well-being from using free-of-charge digital services. The case of navigation apps," Information Economics and Policy, Elsevier, vol. 56(C).
    34. Matthew Quaife & Peter Vickerman & Shanthi Manian & Robyn Eakle & Maria A. Cabrera‐Escobar & Sinead Delany‐Moretlwe & Fern Terris‐Prestholt, 2018. "The effect of HIV prevention products on incentives to supply condomless commercial sex among female sex workers in South Africa," Health Economics, John Wiley & Sons, Ltd., vol. 27(10), pages 1550-1566, October.
    35. Andreas Niedermayr & Lena Schaller & Petr Mariel & Pia Kieninger & Jochen Kantelhardt, 2018. "Heterogeneous Preferences for Public Goods Provided by Agriculture in a Region of Intensive Agricultural Production: The Case of the Marchfeld," Sustainability, MDPI, vol. 10(6), pages 1-18, June.
    36. Antonio Borriello & John M. Rose, 2021. "Global versus localised attitudinal responses in discrete choice," Transportation, Springer, vol. 48(1), pages 131-165, February.
    37. Bondemark, Anders & Andersson, Henrik & Brundell-Freij, Karin, 2023. "Do the distributional preferences of national infrastructure planners diverge from those of the public?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 170(C).
    38. Swantje Sundt & Katrin Rehdanz & Jürgen Meyerhoff, 2020. "Consumers’ Willingness to Accept Time-of-Use Tariffs for Shifting Electricity Demand," Energies, MDPI, vol. 13(8), pages 1-17, April.
    39. Perolia, Daniel R. & Collart, Alba J. & Yehouenou, Lauriane, 2016. "Consumer Preferences for Delacata Catfish: A Choice Experiment with Tasting," Journal of Food Distribution Research, Food Distribution Research Society, vol. 47(3), pages 1-17, November.
    40. Jason M. Bienenfeld & Elizabeth R. Botkins & Brian E. Roe & Marvin T. Batte, 2016. "Country of origin labeling for complex supply chains: the case for labeling the location of different supply chain links," Agricultural Economics, International Association of Agricultural Economists, vol. 47(2), pages 205-213, March.
    41. Nthambi, Mary & Markova-Nenova, Nonka & Wätzold, Frank, 2021. "Quantifying Loss of Benefits from Poor Governance of Climate Change Adaptation Projects: A Discrete Choice Experiment with Farmers in Kenya," Ecological Economics, Elsevier, vol. 179(C).
    42. Nthambi, Mary & Wätzold, Frank & Markova-Nenova, Nonka, 2018. "Quantifying benefit losses from poor governance of climate change adaptation projects: A discrete choice experiment with farmers in Kenya," MPRA Paper 94678, University Library of Munich, Germany.
    43. Daziano, Ricardo A. & Achtnicht, Martin, 2014. "Accounting for uncertainty in willingness to pay for environmental benefits," Energy Economics, Elsevier, vol. 44(C), pages 166-177.
    44. Sobolewski, Maciej & Kopczewski, Tomasz, 2015. "Measuring reservation prices for bundles of fixed telecommunications services," 26th European Regional ITS Conference, Madrid 2015 127182, International Telecommunications Society (ITS).
    45. Luyten, Jeroen & Kessels, Roselinde & Atkins, Katherine E. & Jit, Mark & van Hoek, Albert Jan, 2019. "Quantifying the public's view on social value judgments in vaccine decision-making: A discrete choice experiment," Social Science & Medicine, Elsevier, vol. 228(C), pages 181-193.
    46. Paulo Chahuara, 2018. "Preferencias y Valorizacion por Atributos del Servicio de Internet Fijo en el Peru: un primer acercamiento via experimento de eleccion discreta," Documentos de Trabajo 39, OSIPTEL.
    47. Mara Hammerle & Paul Crosby & Rohan Best, 2021. "Super‐sizing Renewable Energy Investment: Examining the Portfolio Preferences of Superannuation Fund Members," The Economic Record, The Economic Society of Australia, vol. 97(317), pages 267-284, June.
    48. Nasrin Tayyari Dehbarez & Morten Raun Mørkbak & Dorte Gyrd-Hansen & Niels Uldbjerg & Rikke Søgaard, 2018. "Women’s Preferences for Birthing Hospital in Denmark: A Discrete Choice Experiment," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 11(6), pages 613-624, December.
    49. Alba J. Collart & Matthew G. Interis, 2018. "Consumer Imperfect Information in the Market for Expired and Nearly Expired Foods and Implications for Reducing Food Waste," Sustainability, MDPI, vol. 10(11), pages 1-17, October.
    50. Macario Rodríguez‐Entrena & Anastasio J. Villanueva & José A. Gómez‐Limón, 2019. "Unraveling determinants of inferred and stated attribute nonattendance: Effects on farmers’ willingness to accept to join agri‐environmental schemes," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 67(1), pages 31-52, March.
    51. Jayalath, Tharaka A. & Grala, Robert K. & Grado, Stephen C. & Evans, David L., 2021. "Increasing provision of ecosystem services through participation in a conservation program," Ecosystem Services, Elsevier, vol. 50(C).
    52. Rodrigo J. Tapia & Gerard Jong & Ana M. Larranaga & Helena B. Bettella Cybis, 2021. "Exploring Multiple‐discreteness in Freight Transport. A Multiple Discrete Extreme Value Model Application for Grain Consolidators in Argentina," Networks and Spatial Economics, Springer, vol. 21(3), pages 581-608, September.
    53. Rajo, Lindelly A. & Michelle S, Segovia & Arias, Fredi & Marco A., Palma, 2016. "Willingness-to-Pay for an Educational Label: The Zamorano University Brand," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 19(1), pages 1-14, February.
    54. Svenningsen, Lea S. & Thorsen, Bo Jellesmark, 2021. "The Effect of Gain-loss Framing on Climate Policy Preferences," Ecological Economics, Elsevier, vol. 185(C).
    55. Gatta, Valerio & Marcucci, Edoardo & Scaccia, Luisa, 2015. "On finite sample performance of confidence intervals methods for willingness to pay measures," Transportation Research Part A: Policy and Practice, Elsevier, vol. 82(C), pages 169-192.
    56. Haghani, Milad & Sarvi, Majid & Shahhoseini, Zahra, 2015. "Accommodating taste heterogeneity and desired substitution pattern in exit choices of pedestrian crowd evacuees using a mixed nested logit model," Journal of choice modelling, Elsevier, vol. 16(C), pages 58-68.
    57. Díaz, Federico & Cantillo, Víctor & Arellana, Julian & Ortúzar, Juan de Dios, 2015. "Accounting for stochastic variables in discrete choice models," Transportation Research Part B: Methodological, Elsevier, vol. 78(C), pages 222-237.
    58. Schmid, Basil & Axhausen, Kay W., 2019. "In-store or online shopping of search and experience goods: A hybrid choice approach," Journal of choice modelling, Elsevier, vol. 31(C), pages 156-180.
    59. Rommel, Kai & Sagebiel, Julian, 2017. "Preferences for micro-cogeneration in Germany: Policy implications for grid expansion from a discrete choice experiment," Applied Energy, Elsevier, vol. 206(C), pages 612-622.
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    61. Kruse, Tobias & Atkinson, Giles, 2022. "Understanding public support for international climate adaptation payments: evidence from a choice experiment," LSE Research Online Documents on Economics 112963, London School of Economics and Political Science, LSE Library.
    62. Greiner, Romy, 2014. "Willingness of north Australian pastoralists and graziers to participate in contractual biodiversity conservation," 2014 Conference (58th), February 4-7, 2014, Port Macquarie, Australia 165839, Australian Agricultural and Resource Economics Society.
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    64. Collins Asante‐Addo & Daniela Weible, 2020. "Is there hope for domestically produced poultry meat? A choice experiment of consumers in Ghana," Agribusiness, John Wiley & Sons, Ltd., vol. 36(2), pages 281-298, April.
    65. Williams, Angelica & Coble, Keith H. & Williams, Brian & Dicks, Michael & Knippenberg, Ross, 2016. "Consumer Preferences for Pet Health Insurance," 2016 Annual Meeting, February 6-9, 2016, San Antonio, Texas 230144, Southern Agricultural Economics Association.
    66. Jou, Rong-Chang & Chen, Tzu-Ying, 2014. "Factors affecting public transportation, car, and motorcycle usage," Transportation Research Part A: Policy and Practice, Elsevier, vol. 61(C), pages 186-198.
    67. Weller, Priska & Elsasser, Peter, 2018. "Preferences for forest structural attributes in Germany – Evidence from a choice experiment," Forest Policy and Economics, Elsevier, vol. 93(C), pages 1-9.

  35. Esther Bekker-Grob & John Rose & Michiel Bliemer, 2013. "A Closer Look at Decision and Analyst Error by Including Nonlinearities in Discrete Choice Models: Implications on Willingness-to-Pay Estimates Derived from Discrete Choice Data in Healthcare," PharmacoEconomics, Springer, vol. 31(12), pages 1169-1183, December.

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    1. Emily K. M. Moylan & Michiel C. J. Bliemer & Taha Hossein Rashidi, 2022. "Travellers’ perceptions of travel time reliability in the presence of rare events," Transportation, Springer, vol. 49(4), pages 1157-1181, August.
    2. Bansback, Nick & Hole, Arne Risa & Mulhern, Brendan & Tsuchiya, Aki, 2014. "Testing a discrete choice experiment including duration to value health states for large descriptive systems: Addressing design and sampling issues," Social Science & Medicine, Elsevier, vol. 114(C), pages 38-48.

  36. Adam Pel & Michiel Bliemer & Serge Hoogendoorn, 2012. "A review on travel behaviour modelling in dynamic traffic simulation models for evacuations," Transportation, Springer, vol. 39(1), pages 97-123, January.

    Cited by:

    1. Lianhong Ding & Yu Xiao & Xiaotong Deng & Feng Li, 2018. "Safety monitoring and evacuation guide system for pipeline testing laboratory by indoor positioning technique and distributed sensor network," International Journal of Distributed Sensor Networks, , vol. 14(6), pages 15501477187, June.
    2. Grajdura, Sarah & Niemeier, Deb, 2022. "Improving Our Understanding of Fire Evacuation and Displacement Effects," Institute of Transportation Studies, Working Paper Series qt6h99c6j0, Institute of Transportation Studies, UC Davis.
    3. N. Zhang & X. Ni & H. Huang & J. Zhao & M. Duarte & J. Zhang, 2016. "The impact of interpersonal pre-warning information dissemination on regional emergency evacuation," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 80(3), pages 2081-2103, February.
    4. Dian Sun & Lupeng Zhang & Zifeng Su, 2020. "Evacuate or Stay? A Typhoon Evacuation Decision Model in China Based on the Evolutionary Game Theory in Complex Networks," IJERPH, MDPI, vol. 17(3), pages 1-17, January.
    5. Yudi Zhang & Lei He, 2022. "Research on the Characteristics and Influencing Factors of Community Residents’ Night Evacuation Behavior Based on Structural Equation Model," Sustainability, MDPI, vol. 14(19), pages 1-21, October.
    6. Ma. Lim & Hector Lim & Mongkut Piantanakulchai & Francis Uy, 2016. "A household-level flood evacuation decision model in Quezon City, Philippines," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 80(3), pages 1539-1561, February.
    7. Yamada, Takashi, 2022. "Generalizing the probability of reaching a destination in case of route blockage," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 607(C).
    8. Yang, Xia & Ban, Xuegang (Jeff) & Mitchell, John, 2018. "Modeling multimodal transportation network emergency evacuation considering evacuees’ cooperative behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 114(PB), pages 380-397.
    9. N. Zhang & X. Y. Ni & H. Huang & J. L. Zhao & M. Duarte & J. Zhang, 2016. "The impact of interpersonal pre-warning information dissemination on regional emergency evacuation," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 80(3), pages 2081-2103, February.
    10. A. Kimms & K. Seekircher, 2016. "Network design to anticipate selfish evacuation routing," EURO Journal on Computational Optimization, Springer;EURO - The Association of European Operational Research Societies, vol. 4(3), pages 271-298, September.
    11. Md Tawfiq Sarwar & Panagiotis Ch. Anastasopoulos & Satish V. Ukkusuri & Pamela Murray-Tuite & Fred L. Mannering, 2018. "A statistical analysis of the dynamics of household hurricane-evacuation decisions," Transportation, Springer, vol. 45(1), pages 51-70, January.
    12. Piyapong Suwanno & Chaiwat Yaibok & Noriyasu Tsumita & Atsushi Fukuda & Kestsirin Theerathitichaipa & Manlika Seefong & Sajjakaj Jomnonkwao & Rattanaporn Kasemsri, 2023. "Estimation of the Evacuation Time According to Different Flood Depths," Sustainability, MDPI, vol. 15(7), pages 1-23, April.
    13. Wei Zhang & Jianzhong Zhou & Yi Liu & Xiao Chen & Chao Wang, 2016. "Emergency evacuation planning against dike-break flood: a GIS-based DSS for flood detention basin of Jingjiang in central China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(2), pages 1283-1301, March.
    14. Maksymilian Mądziel, 2023. "Vehicle Emission Models and Traffic Simulators: A Review," Energies, MDPI, vol. 16(9), pages 1-31, May.
    15. Giancarlos Troncoso Parady & Eiji Hato, 2016. "Accounting for spatial correlation in tsunami evacuation destination choice: a case study of the Great East Japan Earthquake," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(2), pages 797-807, November.
    16. Hemant Gehlot & Arif M. Sadri & Satish V. Ukkusuri, 2019. "Joint modeling of evacuation departure and travel times in hurricanes," Transportation, Springer, vol. 46(6), pages 2419-2440, December.
    17. Vedat Bayram & Hande Yaman, 2018. "Shelter Location and Evacuation Route Assignment Under Uncertainty: A Benders Decomposition Approach," Transportation Science, INFORMS, vol. 52(2), pages 416-436, March.
    18. Wei Zhang & Jianzhong Zhou & Yi Liu & Xiao Chen & Chao Wang, 2016. "Emergency evacuation planning against dike-break flood: a GIS-based DSS for flood detention basin of Jingjiang in central China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(2), pages 1283-1301, March.
    19. Ahmad Azan Ridzuan & Ungku Azly Ungku Zahar & Noor Akmar Mohd Noor, 2017. "Association of Evacuation Dimensions towards Risk Perception of the Malaysian students who studied at Jakarta, Medan, and Acheh in Indonesia," Malaysian Journal of Geosciences (MJG), Zibeline International Publishing, vol. 1(1), pages 7-12, February.
    20. Hector R. Lim & Ma. Bernadeth B. Lim & Ann Wendy M. Rojas, 2022. "Towards modelling of evacuation behavior and planning for emergency logistics due to the Philippine Taal Volcanic eruption in 2020," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 114(1), pages 553-581, October.
    21. Huang, Keke & Zheng, Xiaoping, 2017. "A weighted evolving network model for pedestrian evacuation," Applied Mathematics and Computation, Elsevier, vol. 298(C), pages 57-64.
    22. Junji Urata & Adam J. Pel, 2018. "People's Risk Recognition Preceding Evacuation and Its Role in Demand Modeling and Planning," Risk Analysis, John Wiley & Sons, vol. 38(5), pages 889-905, May.
    23. Bayram, Vedat & Tansel, Barbaros Ç. & Yaman, Hande, 2015. "Compromising system and user interests in shelter location and evacuation planning," Transportation Research Part B: Methodological, Elsevier, vol. 72(C), pages 146-163.
    24. Shahparvari, Shahrooz & Chhetri, Prem & Abbasi, Babak & Abareshi, Ahmad, 2016. "Enhancing emergency evacuation response of late evacuees: Revisiting the case of Australian Black Saturday bushfire," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 93(C), pages 148-176.
    25. Karabuk, Suleyman & Manzour, Hasan, 2019. "A multi-stage stochastic program for evacuation management under tornado track uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 124(C), pages 128-151.
    26. Shahparvari, Shahrooz & Abbasi, Babak & Chhetri, Prem, 2017. "Possibilistic scheduling routing for short-notice bushfire emergency evacuation under uncertainties: An Australian case study," Omega, Elsevier, vol. 72(C), pages 96-117.
    27. Shi An & Ze Wang & Jianxun Cui, 2015. "Integrating Regret Psychology to Travel Mode Choice for a Transit-Oriented Evacuation Strategy," Sustainability, MDPI, vol. 7(7), pages 1-16, June.
    28. Giovanni Musolino & Reza Ahmadian & Junqiang Xia, 2022. "Enhancing pedestrian evacuation routes during flood events," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 112(3), pages 1941-1965, July.
    29. Rambha, Tarun & Nozick, Linda K. & Davidson, Rachel, 2021. "Modeling hurricane evacuation behavior using a dynamic discrete choice framework," Transportation Research Part B: Methodological, Elsevier, vol. 150(C), pages 75-100.
    30. Zhi-Chun Li & Qian Liu, 2020. "Optimal deployment of emergency rescue stations in an urban transportation corridor," Transportation, Springer, vol. 47(1), pages 445-473, February.
    31. Ma. Bernadeth B. Lim & Hector R. Lim & Mongkut Piantanakulchai & Francis Aldrine Uy, 2016. "A household-level flood evacuation decision model in Quezon City, Philippines," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 80(3), pages 1539-1561, February.
    32. Gu, Yu & Chen, Anthony & Xu, Xiangdong, 2023. "Measurement and ranking of important link combinations in the analysis of transportation network vulnerability envelope buffers under multiple-link disruptions," Transportation Research Part B: Methodological, Elsevier, vol. 167(C), pages 118-144.
    33. Xuedong Yan & Xiaobing Liu & Yulei Song, 2018. "Optimizing evacuation efficiency under emergency with consideration of social fairness based on a cell transmission model," PLOS ONE, Public Library of Science, vol. 13(11), pages 1-21, November.
    34. Guan, Xiangyang & Chen, Cynthia, 2021. "A behaviorally-integrated individual-level state-transition model that can predict rapid changes in evacuation demand days earlier," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).

  37. Luc Wismans & Eric Van Berkum & Michiel Bliemer, 2011. "Modelling Externalities using Dynamic Traffic Assignment Models: A Review," Transport Reviews, Taylor & Francis Journals, vol. 31(4), pages 521-545.

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    1. Andrea Gemma & Orlando Giannattasio & Livia Mannini, 2023. "Motorway Traffic Emissions Estimation through Stochastic Fundamental Diagram," Sustainability, MDPI, vol. 15(13), pages 1-16, June.
    2. Wang, Yi & Szeto, W.Y. & Han, Ke & Friesz, Terry L., 2018. "Dynamic traffic assignment: A review of the methodological advances for environmentally sustainable road transportation applications," Transportation Research Part B: Methodological, Elsevier, vol. 111(C), pages 370-394.

  38. Bliemer, Michiel C.J. & Rose, John M., 2011. "Experimental design influences on stated choice outputs: An empirical study in air travel choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(1), pages 63-79, January.

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    1. Bliemer, Michiel C.J. & Collins, Andrew T., 2016. "On determining priors for the generation of efficient stated choice experimental designs," Journal of choice modelling, Elsevier, vol. 21(C), pages 10-14.
    2. Nikhil Sikka & Paul Hanley, 2013. "What do commuters think travel time reliability is worth? Calculating economic value of reducing the frequency and extent of unexpected delays," Transportation, Springer, vol. 40(5), pages 903-919, September.
    3. Ndebele, Tom & Marsh, Dan & Scarpa, Riccardo, 2019. "Consumer switching in retail electricity markets: Is price all that matters?," Energy Economics, Elsevier, vol. 83(C), pages 88-103.
    4. Giansoldati, Marco & Rotaris, Lucia & Scorrano, Mariangela & Danielis, Romeo, 2020. "Does electric car knowledge influence car choice? Evidence from a hybrid choice model," Research in Transportation Economics, Elsevier, vol. 80(C).
    5. Danielis, Romeo & Rotaris, Lucia & Giansoldati, Marco & Scorrano, Mariangela, 2020. "Drivers’ preferences for electric cars in Italy. Evidence from a country with limited but growing electric car uptake," Transportation Research Part A: Policy and Practice, Elsevier, vol. 137(C), pages 79-94.
    6. Kessels, Roselinde, 2016. "Homogeneous versus heterogeneous designs for stated choice experiments: Ain't homogeneous designs all bad?," Journal of choice modelling, Elsevier, vol. 21(C), pages 2-9.
    7. Greiner, Romy & Bliemer, Michiel & Ballweg, Julie, 2014. "Design considerations of a choice experiment to estimate likely participation by north Australian pastoralists in contractual biodiversity conservation," Journal of choice modelling, Elsevier, vol. 10(C), pages 34-45.
    8. Mariel, Petr & Meyerhoff, Jürgen, 2018. "A More Flexible Model or Simply More Effort? On the Use of Correlated Random Parameters in Applied Choice Studies," Ecological Economics, Elsevier, vol. 154(C), pages 419-429.
    9. Martín, Juan Carlos & Román, Concepción & García-Palomares, Juan Carlos & Gutiérrez, Javier, 2014. "Spatial analysis of the competitiveness of the high-speed train and air transport: The role of access to terminals in the Madrid–Barcelona corridor," Transportation Research Part A: Policy and Practice, Elsevier, vol. 69(C), pages 392-408.
    10. Ismail, Noor Azina & Jenatabadi, Hashem Salarzadeh, 2014. "The influence of firm age on the relationships of airline performance, economic situation and internal operation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 67(C), pages 212-224.
    11. Maria Grazia Bellizzi & Luigi dell’Olio & Laura Eboli & Carmen Forciniti & Gabriella Mazzulla, 2020. "Passengers’ Expectations on Airlines’ Services: Design of a Stated Preference Survey and Preliminary Outcomes," Sustainability, MDPI, vol. 12(11), pages 1-14, June.
    12. Wong, R.C.P. & Yang, Linchuan & Szeto, W.Y. & Li, Y.C. & Wong, S.C., 2020. "The effects of accessible taxi service and taxi fare subsidy scheme on the elderly's willingness-to-travel," Transport Policy, Elsevier, vol. 97(C), pages 129-136.
    13. Chiara Seghieri & Alessandro Mengoni & Sabina Nuti, 2014. "Applying discrete choice modelling in a priority setting: an investigation of public preferences for primary care models," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 15(7), pages 773-785, September.
    14. Franceschinis, Cristiano & Thiene, Mara & Scarpa, Riccardo & Rose, John & Moretto, Michele & Cavalli, Raffaele, 2017. "Adoption of renewable heating systems: An empirical test of the diffusion of innovation theory," Energy, Elsevier, vol. 125(C), pages 313-326.
    15. Rotaris, Lucia & Giansoldati, Marco & Scorrano, Mariangela, 2020. "Are air travellers willing to pay for reducing or offsetting carbon emissions? Evidence from Italy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 142(C), pages 71-84.
    16. Krah, Kwabena & Petrolia, Daniel & Williams, Angelica & Coble, Keith & Harri, Ardian & Rejesus, Roderick, 2015. "Producer preferences for contracts on a risky bioenergy crop," Working Papers 212483, Mississippi State University, Department of Agricultural Economics.
    17. Vautard, Félix & Liu, Chengxi & Fröidh, Oskar & Byström, Camilla, 2021. "Estimation of interregional rail passengers’ valuations for their desired departure times," Transport Policy, Elsevier, vol. 103(C), pages 183-196.
    18. John Rose & David Hensher, 2014. "Demand for taxi services: new elasticity evidence," Transportation, Springer, vol. 41(4), pages 717-743, July.
    19. Rotaris, Lucia & Giansoldati, Marco & Scorrano, Mariangela, 2021. "The slow uptake of electric cars in Italy and Slovenia. Evidence from a stated-preference survey and the role of knowledge and environmental awareness," Transportation Research Part A: Policy and Practice, Elsevier, vol. 144(C), pages 1-18.
    20. Blasch, Julia & Farsi, Mehdi, 2012. "Retail demand for voluntary carbon offsets – a choice experiment among Swiss consumers," MPRA Paper 41259, University Library of Munich, Germany.
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    22. Wiktor L. Adamowicz & Klaus Glenk & Jürgen Meyerhoff, 2014. "Choice modelling research in environmental and resource economics," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 27, pages 661-674, Edward Elgar Publishing.
    23. Abotalebi, Elnaz & Scott, Darren M. & Ferguson, Mark R., 2019. "Why is electric vehicle uptake low in Atlantic Canada? A comparison to leading adoption provinces," Journal of Transport Geography, Elsevier, vol. 74(C), pages 289-298.
    24. Palhazi Cuervo, Daniel & Kessels, Roselinde & Goos, Peter & Sörensen, Kenneth, 2016. "An integrated algorithm for the optimal design of stated choice experiments with partial profiles," Transportation Research Part B: Methodological, Elsevier, vol. 93(PA), pages 648-669.
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    26. Benoit Chèze & Maia M. David & Vincent Martinet, 2019. "Understanding Farmers' Reluctance to Reduce Pesticides use : a Choice Experiment [Comprendre la réticence des agriculteurs à réduire l'utilisation des pesticides : une expérience de choix]," Working Papers hal-03192158, HAL.
    27. Elnaz Abotalebi & Mark R. Ferguson & Moataz Mohamed & Darren M. Scott, 2020. "Design of a survey to assess prospects for consumer electric mobility in Canada: a retrospective appraisal," Transportation, Springer, vol. 47(3), pages 1223-1250, June.
    28. Guerrero-Baena, M. Dolores & Villanueva, Anastasio J. & Gómez-Limón, José A. & Glenk, Klaus, 2019. "Willingness to pay for improved irrigation water supply reliability: An approach based on probability density functions," Agricultural Water Management, Elsevier, vol. 217(C), pages 11-22.
    29. Collins, Andrew T. & Rose, John M. & Hensher, David A., 2013. "Specification issues in a generalised random parameters attribute nonattendance model," Transportation Research Part B: Methodological, Elsevier, vol. 56(C), pages 234-253.
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    31. Cristiano Franceschinis & Riccardo Scarpa & Mara Thiene & John Rose & Michele Moretto & Raffaele Cavalli, 2016. "Exploring the Spatial Heterogeneity of Individual Preferences for Ambient Heating Systems," Energies, MDPI, vol. 9(6), pages 1-19, May.
    32. van Cranenburgh, Sander & Collins, Andrew T., 2019. "New software tools for creating stated choice experimental designs efficient for regret minimisation and utility maximisation decision rules," Journal of choice modelling, Elsevier, vol. 31(C), pages 104-123.
    33. Jawaher Binsuwadan & Gerard De Jong & Richard Batley & Phill Wheat, 2022. "The value of travel time savings in freight transport: a meta-analysis," Transportation, Springer, vol. 49(4), pages 1183-1209, August.
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    36. Greiner, Romy & Ballweg, Julie, 2013. "Estimating the supply of on-farm biodiversity conservation services by north Australian pastoralists: design of a choice experiment," 2013 Conference (57th), February 5-8, 2013, Sydney, Australia 152153, Australian Agricultural and Resource Economics Society.
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    49. Romeo Danielis & Mariangela Scorrano & Alessandro Massi Pavan & Nicola Blasuttigh, 2023. "Simulating the Diffusion of Residential Rooftop Photovoltaic, Battery Storage Systems and Electric Cars in Italy. An Exploratory Study Combining a Discrete Choice and Agent-Based Modelling Approach," Energies, MDPI, vol. 16(1), pages 1-20, January.
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    51. Saxena, N. & Rashidi, T.H. & Dixit, V.V. & Waller, S.T., 2019. "Modelling the route choice behaviour under stop-&-go traffic for different car driver segments," Transportation Research Part A: Policy and Practice, Elsevier, vol. 119(C), pages 62-72.
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    54. Matthew Quaife & Peter Vickerman & Shanthi Manian & Robyn Eakle & Maria A. Cabrera‐Escobar & Sinead Delany‐Moretlwe & Fern Terris‐Prestholt, 2018. "The effect of HIV prevention products on incentives to supply condomless commercial sex among female sex workers in South Africa," Health Economics, John Wiley & Sons, Ltd., vol. 27(10), pages 1550-1566, October.
    55. Breen, Benjamin & Vega, Amaya & Feo-Valero, Maria, 2015. "An empirical analysis of mode and route choice for international freight transport in Ireland," Working Papers 262587, National University of Ireland, Galway, Socio-Economic Marine Research Unit.
    56. van Cranenburgh, Sander & Rose, John M. & Chorus, Caspar G., 2018. "On the robustness of efficient experimental designs towards the underlying decision rule," Transportation Research Part A: Policy and Practice, Elsevier, vol. 109(C), pages 50-64.
    57. Bjørnåvold, Amalie & David, Maia & Bohan, David A. & Gibert, Caroline & Rousselle, Jean-Marc & Van Passel, Steven, 2022. "Why does France not meet its pesticide reduction targets? Farmers' socio-economic trade-offs when adopting agro-ecological practices," Ecological Economics, Elsevier, vol. 198(C).
    58. Valeri, Eva & Danielis, Romeo, 2015. "Simulating the market penetration of cars with alternative fuelpowertrain technologies in Italy," Transport Policy, Elsevier, vol. 37(C), pages 44-56.
    59. Parsons, George R. & Hidrue, Michael K. & Kempton, Willett & Gardner, Meryl P., 2014. "Willingness to pay for vehicle-to-grid (V2G) electric vehicles and their contract terms," Energy Economics, Elsevier, vol. 42(C), pages 313-324.
    60. Fosgerau, Mogens & Börjesson, Maria, 2015. "Manipulating a stated choice experiment," Journal of choice modelling, Elsevier, vol. 16(C), pages 43-49.
    61. Lukas Spengler & Eva Gößwein & Ingmar Kranefeld & Magnus Liebherr & Frédéric Etienne Kracht & Dieter Schramm & Marc Gennat, 2023. "From Modeling to Optimizing Sustainable Public Transport: A New Methodological Approach," Sustainability, MDPI, vol. 15(10), pages 1-17, May.
    62. Basu, Debasis & Hunt, John Douglas, 2012. "Valuing of attributes influencing the attractiveness of suburban train service in Mumbai city: A stated preference approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(9), pages 1465-1476.
    63. Tao, Xuezong & Wu, Qin & Zhu, Lichao, 2017. "Mitigation potential of CO2 emissions from modal shift induced by subsidy in hinterland container transport," Energy Policy, Elsevier, vol. 101(C), pages 265-273.
    64. Román, Concepción & Martín, Juan Carlos, 2016. "Hotel attributes: Asymmetries in guest payments and gains – A stated preference approach," Tourism Management, Elsevier, vol. 52(C), pages 488-497.
    65. Juan Carlos García-Palomares & Javier Gutiérrez & Juan Carlos Martín & Concepción Román, 2013. "Modal accessibility disparity to terminals and its effect on the competitiveness of HST versus air transport," Chapters, in: Thomas Vanoutrive & Ann Verhetsel (ed.), Smart Transport Networks, chapter 7, pages 126-149, Edward Elgar Publishing.
    66. Mulatu, Dawit W. & van der Veen, Anne & van Oel, Pieter R., 2014. "Farm households' preferences for collective and individual actions to improve water-related ecosystem services: The Lake Naivasha basin, Kenya," Ecosystem Services, Elsevier, vol. 7(C), pages 22-33.
    67. Bernadeta Gołębiowska & Anna Bartczak & Mikołaj Czajkowski, 2020. "Energy demand management and social norms – the case study in Poland," Working Papers 2020-25, Faculty of Economic Sciences, University of Warsaw.
    68. Grilli, Gaetano & Andrews, Barnaby & Ferrini, Silvia & Luisetti, Tiziana, 2022. "Could a mix of short- and long-term policies be the solution to tackle marine litter? Insights from a choice experiment in England and Ireland," Ecological Economics, Elsevier, vol. 201(C).
    69. de Bekker-Grob, E.W. & Donkers, B. & Bliemer, M.C.J. & Veldwijk, J. & Swait, J.D., 2020. "Can healthcare choice be predicted using stated preference data?," Social Science & Medicine, Elsevier, vol. 246(C).
    70. Salazar-Ordóñez, Melania & Rodríguez-Entrena, Macario & Villanueva, Anastasio J., 2021. "Exploring the commodification of biodiversity using olive oil producers’ willingness to accept," Land Use Policy, Elsevier, vol. 107(C).
    71. Masiero, Lorenzo & Hrankai, Richard, 2022. "Modeling tourist accessibility to peripheral attractions," Annals of Tourism Research, Elsevier, vol. 92(C).
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    73. Mokas, Ilias & Lizin, Sebastien & Brijs, Tom & Witters, Nele & Malina, Robert, 2021. "Can immersive virtual reality increase respondents’ certainty in discrete choice experiments? A comparison with traditional presentation formats," Journal of Environmental Economics and Management, Elsevier, vol. 109(C).
    74. Hashem Salarzadeh Jenatabadi & Peyman Babashamsi & Datis Khajeheian & Nader Seyyed Amiri, 2016. "Airline Sustainability Modeling: A New Framework with Application of Bayesian Structural Equation Modeling," Sustainability, MDPI, vol. 8(11), pages 1-17, November.
    75. Frischknecht, Bart D. & Eckert, Christine & Geweke, John & Louviere, Jordan J., 2014. "A simple method for estimating preference parameters for individuals," International Journal of Research in Marketing, Elsevier, vol. 31(1), pages 35-48.
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    2. Wang, Guangmin & Xu, Meng & Grant-Muller, Susan & Gao, Zaihan, 2020. "Combination of tradable credit scheme and link capacity improvement to balance economic growth and environmental management in sustainable-oriented transport development: A bi-objective bi-level progr," Transportation Research Part A: Policy and Practice, Elsevier, vol. 137(C), pages 459-471.
    3. Rouwendal, Jan & Verhoef, Erik T. & Knockaert, Jasper, 2012. "Give or take? Rewards versus charges for a congested bottleneck," Regional Science and Urban Economics, Elsevier, vol. 42(1-2), pages 166-176.
    4. Xu, Meng & Grant-Muller, Susan, 2016. "Trip mode and travel pattern impacts of a Tradable Credits Scheme: A case study of Beijing," Transport Policy, Elsevier, vol. 47(C), pages 72-83.

  40. Bliemer, Michiel C.J. & Rose, John M., 2010. "Construction of experimental designs for mixed logit models allowing for correlation across choice observations," Transportation Research Part B: Methodological, Elsevier, vol. 44(6), pages 720-734, July.

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    2. Kerr, Geoffrey N. & Sharp, Basil M.H., 2010. "Choice experiment adaptive design benefits: a case study," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 54(4), pages 1-14.
    3. Sánchez Navarro, Dennis, 2013. "Análisis de elasticidades en el mercado automotor colombiano (2009 - 2011) mediante un modelo logit anidado [Analysis Of Elasticity In Colombian Automotive Market (2009 - 2011) Through A Nested Log," MPRA Paper 46043, University Library of Munich, Germany.
    4. Marcel F. Jonker & Arthur E. Attema & Bas Donkers & Elly A. Stolk & Matthijs M. Versteegh, 2017. "Are Health State Valuations from the General Public Biased? A Test of Health State Reference Dependency Using Self‐assessed Health and an Efficient Discrete Choice Experiment," Health Economics, John Wiley & Sons, Ltd., vol. 26(12), pages 1534-1547, December.
    5. Nikhil Sikka & Paul Hanley, 2013. "What do commuters think travel time reliability is worth? Calculating economic value of reducing the frequency and extent of unexpected delays," Transportation, Springer, vol. 40(5), pages 903-919, September.
    6. Giansoldati, Marco & Rotaris, Lucia & Scorrano, Mariangela & Danielis, Romeo, 2020. "Does electric car knowledge influence car choice? Evidence from a hybrid choice model," Research in Transportation Economics, Elsevier, vol. 80(C).
    7. Kessels, Roselinde, 2016. "Homogeneous versus heterogeneous designs for stated choice experiments: Ain't homogeneous designs all bad?," Journal of choice modelling, Elsevier, vol. 21(C), pages 2-9.
    8. Yu, Jie & Goos, Peter & Vandebroek, Martina, 2011. "Individually adapted sequential Bayesian conjoint-choice designs in the presence of consumer heterogeneity," International Journal of Research in Marketing, Elsevier, vol. 28(4), pages 378-388.
    9. Bliemer, Michiel C.J. & Rose, John M. & Hensher, David A., 2009. "Efficient stated choice experiments for estimating nested logit models," Transportation Research Part B: Methodological, Elsevier, vol. 43(1), pages 19-35, January.
    10. Greiner, Romy & Bliemer, Michiel & Ballweg, Julie, 2014. "Design considerations of a choice experiment to estimate likely participation by north Australian pastoralists in contractual biodiversity conservation," Journal of choice modelling, Elsevier, vol. 10(C), pages 34-45.
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    12. Aiste Ruseckaite & Peter Goos & Dennis Fok, 2017. "Bayesian D-optimal choice designs for mixtures," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 66(2), pages 363-386, February.
    13. Evgeniy M. Ozhegov & Alina Ozhegova, 2018. "Segmentation of Theatre Audiences: A Latent Class Approach for Combined Data," HSE Working papers WP BRP 198/EC/2018, National Research University Higher School of Economics.
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    18. Otieno, David & Ogutu, Sylvester, 2015. "Consumer willingness to pay for animal welfare attributes in a developing country context: The case of chicken in Nairobi, Kenya," 2015 Conference, August 9-14, 2015, Milan, Italy 212602, International Association of Agricultural Economists.
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    21. Marcel F. Jonker & Bas Donkers & Esther de Bekker‐Grob & Elly A. Stolk, 2019. "Attribute level overlap (and color coding) can reduce task complexity, improve choice consistency, and decrease the dropout rate in discrete choice experiments," Health Economics, John Wiley & Sons, Ltd., vol. 28(3), pages 350-363, March.
    22. Krah, Kwabena & Petrolia, Daniel & Williams, Angelica & Coble, Keith & Harri, Ardian & Rejesus, Roderick, 2015. "Producer preferences for contracts on a risky bioenergy crop," Working Papers 212483, Mississippi State University, Department of Agricultural Economics.
    23. Verhetsel, Ann & Kessels, Roselinde & Goos, Peter & Zijlstra, Toon & Blomme, Nele & Cant, Jeroen, 2015. "Location of logistics companies: a stated preference study to disentangle the impact of accessibility," Journal of Transport Geography, Elsevier, vol. 42(C), pages 110-121.
    24. Wiktor L. Adamowicz & Klaus Glenk & Jürgen Meyerhoff, 2014. "Choice modelling research in environmental and resource economics," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 27, pages 661-674, Edward Elgar Publishing.
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    29. Djiby Racine Thiam & Ariel Dinar & Hebert Ntuli, 2021. "Promotion of residential water conservation measures in South Africa: the role of water-saving equipment," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 23(1), pages 173-210, January.
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    31. Newell, Laurie W. & Swallow, Stephen K., 2013. "Real-payment choice experiments: Valuing forested wetlands and spatial attributes within a landscape context," Ecological Economics, Elsevier, vol. 92(C), pages 37-47.
    32. Grigolon, Anna B. & Borgers, Aloys W.J. & Kemperman, Astrid D.A.M. & Timmermans, Harry J.P., 2014. "Vacation length choice: A dynamic mixed multinomial logit model," Tourism Management, Elsevier, vol. 41(C), pages 158-167.
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    41. Owusu, Rebecca & Dekagbey, Florence Sefakor, 2020. "Gender Dynamics In Consumer Preferences And Willingness To Pay For Edible Mushrooms In Ghana," APSTRACT: Applied Studies in Agribusiness and Commerce, AGRIMBA, vol. 11(4-5), June.
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    47. Mikołaj Czajkowski & Wiktor Budziński, 2017. "Simulation error in maximum likelihood estimation of discrete choice models," Working Papers 2017-18, Faculty of Economic Sciences, University of Warsaw.
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    68. Determann, Domino & Lambooij, Mattijs S. & de Bekker-Grob, Esther W. & Hayen, Arthur P. & Varkevisser, Marco & Schut, Frederik T. & Wit, G. Ardine de, 2016. "What health plans do people prefer? The trade-off between premium and provider choice," Social Science & Medicine, Elsevier, vol. 165(C), pages 10-18.
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    73. Nedka Dechkova Nikiforova & Rossella Berni & Jesús Fernando López‐Fidalgo, 2022. "Optimal approximate choice designs for a two‐step coffee choice, taste and choice again experiment," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 71(5), pages 1895-1917, November.
    74. Chiara Mazzocchi & Guido Sali, 2022. "Supporting mountain agriculture through “mountain product” label: a choice experiment approach," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(1), pages 701-723, January.
    75. Mameno, Kota & Kubo, Takahiro & Ujiie, Kiyokazu & Shoji, Yasushi, 2023. "Flagship species and certification types affect consumer preferences for wildlife-friendly rice labels," Ecological Economics, Elsevier, vol. 204(PB).
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    82. Apurba Shee & Calum G. Turvey & Ana Marr, 2021. "Heterogeneous Demand and Supply for an Insurance‐linked Credit Product in Kenya: A Stated Choice Experiment Approach," Journal of Agricultural Economics, Wiley Blackwell, vol. 72(1), pages 244-267, February.
    83. Diana Romero‐Espinosa & Mauricio Sarrias & Ricardo Daziano, 2021. "Are preferences for city attributes heterogeneous? An assessment using a discrete choice experiment," Papers in Regional Science, Wiley Blackwell, vol. 100(1), pages 251-272, February.
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    87. Sviataslau Valasiuk & Mikołaj Czajkowski & Marek Giergiczny & Tomasz Żylicz & Knut Veisten & Marine Elbakidze & Per Angelstam, 2017. "Are Bilateral Conservation Policies for the Białowieża Forest Unattainable? Analysis of Stated Preferences of Polish and Belarusian Public," Working Papers 2017-09, Faculty of Economic Sciences, University of Warsaw.
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  41. Bliemer, Michiel C.J. & Rose, John M. & Hensher, David A., 2009. "Efficient stated choice experiments for estimating nested logit models," Transportation Research Part B: Methodological, Elsevier, vol. 43(1), pages 19-35, January.

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    31. John Gibson & Riccardo Scarpa & Halahingano Rohorua, 2013. "Respiratory Health of Pacific Island Immigrants and Preferences for Indoor Air Quality Determinants in New Zealand," Working Papers in Economics 13/09, University of Waikato.
    32. Chaniotakis, Emmanouil & Pel, Adam J., 2015. "Drivers’ parking location choice under uncertain parking availability and search times: A stated preference experiment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 82(C), pages 228-239.
    33. Bliemer, Michiel C.J. & Rose, John M., 2011. "Experimental design influences on stated choice outputs: An empirical study in air travel choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(1), pages 63-79, January.
    34. Ahmadi Azari, Kian & Arintono, Sulistyo & Hamid, Hussain & Rahmat, Riza Atiq O.K., 2013. "Modelling demand under parking and cordon pricing policy," Transport Policy, Elsevier, vol. 25(C), pages 1-9.
    35. Renske J. Hoefman & Job Exel & Werner B. F. Brouwer, 2019. "The Monetary Value of Informal Care: Obtaining Pure Time Valuations Using a Discrete Choice Experiment," PharmacoEconomics, Springer, vol. 37(4), pages 531-540, April.
    36. Grisolía, José M. & Longo, Alberto & Hutchinson, George & Kee, Frank, 2018. "Comparing mortality risk reduction, life expectancy gains, and probability of achieving full life span, as alternatives for presenting CVD mortality risk reduction: A discrete choice study of framing ," Social Science & Medicine, Elsevier, vol. 211(C), pages 164-174.
    37. Milad Haghani & Majid Sarvi & Zahra Shahhoseini & Maik Boltes, 2016. "How Simple Hypothetical-Choice Experiments Can Be Utilized to Learn Humans’ Navigational Escape Decisions in Emergencies," PLOS ONE, Public Library of Science, vol. 11(11), pages 1-24, November.
    38. Esther W. de Bekker‐Grob & Mandy Ryan & Karen Gerard, 2012. "Discrete choice experiments in health economics: a review of the literature," Health Economics, John Wiley & Sons, Ltd., vol. 21(2), pages 145-172, February.
    39. Sanko, Nobuhiro & Yamamoto, Toshiyuki, 2013. "Estimation efficiency of RP/SP models considering SP design and error structures," Journal of choice modelling, Elsevier, vol. 6(C), pages 60-73.
    40. Aljohani, Khalid & Thompson, Russell G., 2020. "Receivers-led delivery consolidation policy: Estimating the characteristics of the most interested businesses to participate," Research in Transportation Economics, Elsevier, vol. 80(C).
    41. Zander, Kerstin K. & Signorello, Giovanni & De Salvo, Maria & Gandini, Gustavo & Drucker, Adam G., 2013. "Assessing the total economic value of threatened livestock breeds in Italy: Implications for conservation policy," Ecological Economics, Elsevier, vol. 93(C), pages 219-229.
    42. Joan L. Walker & Yanqiao Wang & Mikkel Thorhauge & Moshe Ben-Akiva, 2018. "D-efficient or deficient? A robustness analysis of stated choice experimental designs," Theory and Decision, Springer, vol. 84(2), pages 215-238, March.
    43. De Ayala Bilbao, Amaya & Hoyos Ramos, David & Mariel Chladkova, Petr, 2012. "Landscape valuation through discrete choice experiments: Current practice and future research reflections," BILTOKI 1134-8984, Universidad del País Vasco - Departamento de Economía Aplicada III (Econometría y Estadística).
    44. Weibo Li & Maria Kamargianni, 2020. "Steering short-term demand for car-sharing: a mode choice and policy impact analysis by trip distance," Transportation, Springer, vol. 47(5), pages 2233-2265, October.
    45. Greiner, Romy, 2014. "Willingness of north Australian pastoralists and graziers to participate in contractual biodiversity conservation," 2014 Conference (58th), February 4-7, 2014, Port Macquarie, Australia 165839, Australian Agricultural and Resource Economics Society.
    46. Greiner, Romy, 2015. "Motivations and attitudes influence farmers' willingness to participate in biodiversity conservation contracts," Agricultural Systems, Elsevier, vol. 137(C), pages 154-165.
    47. Tay T. R. Koo & Carlo Caponecchia & Ann Williamson, 2018. "How important is safety in making flight choices? Evidence from simple choice experiments," Transportation, Springer, vol. 45(1), pages 159-175, January.
    48. Yu, Jie & Goos, Peter & Vandebroek, Martina, 2010. "Comparing different sampling schemes for approximating the integrals involved in the efficient design of stated choice experiments," Transportation Research Part B: Methodological, Elsevier, vol. 44(10), pages 1268-1289, December.
    49. Kingsley Adjenughwure & Basil Papadopoulos, 2019. "Towards a Fair and More Transparent Rule-Based Valuation of Travel Time Savings," Sustainability, MDPI, vol. 11(4), pages 1-19, February.

  42. John M. Rose & Michiel C. J. Bliemer, 2008. "Constructing Efficient Stated Choice Experimental Designs," Transport Reviews, Taylor & Francis Journals, vol. 29(5), pages 587-617, October.

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    1. Turner, Robert & Willmarth, Blake, 2014. "Valuation of Cultural and Natural Resources in North Cascades National Park: Results from a Tournament-Style Contingent Choice Survey," Working Papers 2014-01, Department of Economics, Colgate University, revised 23 Jan 2014.
    2. Fifer, Simon & Rose, John & Greaves, Stephen, 2014. "Hypothetical bias in Stated Choice Experiments: Is it a problem? And if so, how do we deal with it?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 61(C), pages 164-177.
    3. Aiste Ruseckaite & Peter Goos & Dennis Fok, 2017. "Bayesian D-optimal choice designs for mixtures," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 66(2), pages 363-386, February.
    4. Vanden Broeck, Goedele & Vanhoyweghen, Kaat & Maertens, Miet, 2015. "Employment Conditions in the Senegalese Horticultural Export Industry: A Worker Perspective," Working Papers 208756, Katholieke Universiteit Leuven, Centre for Agricultural and Food Economics.
    5. Verhetsel, Ann & Kessels, Roselinde & Goos, Peter & Zijlstra, Toon & Blomme, Nele & Cant, Jeroen, 2015. "Location of logistics companies: a stated preference study to disentangle the impact of accessibility," Journal of Transport Geography, Elsevier, vol. 42(C), pages 110-121.
    6. Marcello Di Muro & Rungsaran Wongprawmas & Maurizio Canavari, 2016. "Consumers? Preferences and Willingness-To-Pay for Misfit Vegetables," Economia agro-alimentare, FrancoAngeli Editore, vol. 18(2), pages 133-154.
    7. John Rose & David Hensher, 2014. "Demand for taxi services: new elasticity evidence," Transportation, Springer, vol. 41(4), pages 717-743, July.
    8. Phoebe Koundouri & Riccardo Scarpa & Mavra Stithou, 2013. "A Choice Experiment for the Estimation of the Economic Value of the River Ecosystem: Management Policies for Sustaining NATURA (2000) species and the Coastal Environment," DEOS Working Papers 1314, Athens University of Economics and Business.
    9. Palhazi Cuervo, Daniel & Kessels, Roselinde & Goos, Peter & Sörensen, Kenneth, 2016. "An integrated algorithm for the optimal design of stated choice experiments with partial profiles," Transportation Research Part B: Methodological, Elsevier, vol. 93(PA), pages 648-669.
    10. Rungie, Cam & Scarpa, Riccardo & Thiene, Mara, 2014. "The influence of individuals in forming collective household preferences for water quality," Journal of Environmental Economics and Management, Elsevier, vol. 68(1), pages 161-174.
    11. Olaru, Doina & Smith, Brett & Taplin, John H.E., 2011. "Residential location and transit-oriented development in a new rail corridor," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(3), pages 219-237, March.
    12. Holland, Benedict M. & Johnston, Robert J., 2015. "Capturing More Relevant Measures of Spatial Heterogeneity in Stated Preference Willingness to Pay: Using an Iterative Grid Search Algorithm to Quantify Proximate Environmental Impacts," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205450, Agricultural and Applied Economics Association.
    13. KUPFER, Franziska & KESSELS, Roselinde & GOOS, Peter & VAN DE VOORDE, Eddy & VERHETSEL, Ann, 2013. "A discrete choice approach for analysing the airport choice for freighter operations in Europe," Working Papers 2013028, University of Antwerp, Faculty of Business and Economics.
    14. John Rose & David Hensher, 2014. "Tollroads are only part of the overall trip: the error of our ways in past willingness to pay studies," Transportation, Springer, vol. 41(4), pages 819-837, July.
    15. Rose, John M. & Bliemer, Michiel C.J. & Hensher, David A. & Collins, Andrew T., 2008. "Designing efficient stated choice experiments in the presence of reference alternatives," Transportation Research Part B: Methodological, Elsevier, vol. 42(4), pages 395-406, May.
    16. Darla Hatton MacDonald & Mark D. Morrison & John M. Rose & Kevin J. Boyle, 2011. "Valuing a multistate river: the case of the River Murray," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 55(3), pages 374-392, July.
    17. Carole Ropars-Collet & Mélody Leplat & Philippe Le Goffe & Marie Lesueur, 2015. "La pêche professionnelle est-elle un facteur d’attractivité récréative sur le littoral ?," Revue économique, Presses de Sciences-Po, vol. 66(4), pages 729-754.
    18. J�r�me Massiani, 2013. "The use of Stated Preferences to forecast alternative fuel vehicles market diffusion: Comparisons with other methods and proposal for a Synthetic Utility Function," Working Papers 2013:12, Department of Economics, University of Venice "Ca' Foscari".
    19. Eija, Pouta & Annika, Tienhaara & Heini, Ahtiainen, 2014. "Citizens’ preferences for policies to conserve agricultural genetic resources," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182679, European Association of Agricultural Economists.
    20. Olila, Dennis & Nyikal, Rose & Otieno, David, 2015. "What Do Farmers Want from Crop Insurance Schemes: A Stated Preference Approach," 2015 Conference, August 9-14, 2015, Milan, Italy 212596, International Association of Agricultural Economists.
    21. Anna Alberini & Silvia Banfi & Celine Ramseier, 2011. "Energy Efficiency Investments in the Home: Swiss Homeowners and Expectations about Future Energy Prices," CEPE Working paper series 11-80, CEPE Center for Energy Policy and Economics, ETH Zurich.
    22. KESSELS, Roselinde & BRADLEY, Jones & GOOS, Peter, 2012. "A comparison of partial profile designs for discrete choice experiments with an application in software development," Working Papers 2012004, University of Antwerp, Faculty of Business and Economics.
    23. Scarpa, Riccardo & Notaro, Sandra & Raffaelli, Roberta & Louviere, Jordan, 2011. "Modelling attribute non-attendance in best-worst rank ordered choice data to estimate tourism benefits from Alpine pasture heritage," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 115990, European Association of Agricultural Economists.
    24. David Hensher & John Rose & William Greene, 2012. "Inferring attribute non-attendance from stated choice data: implications for willingness to pay estimates and a warning for stated choice experiment design," Transportation, Springer, vol. 39(2), pages 235-245, March.
    25. David Hensher & Sean Puckett & John Rose, 2007. "Extending stated choice analysis to recognise agent-specific attribute endogeneity in bilateral group negotiation and choice: a think piece," Transportation, Springer, vol. 34(6), pages 667-679, November.
    26. Kragt, Marit Ellen & Bennett, Jeffrey W., 2008. "Developing a Questionnaire for Valuing Changes in Natural Resource Management in the George Catchment, Tasmania," Research Reports 94807, Australian National University, Environmental Economics Research Hub.
    27. María Feo-Valero & Leandro García-Menéndez & Salvador Saz-Salazar, 2016. "Rail freight transport and demand requirements: an analysis of attribute cut-offs through a stated preference experiment," Transportation, Springer, vol. 43(1), pages 101-122, January.
    28. Holland, Benedict M. & Johnston, Robert J., 2014. "Spatially-Referenced Choice Experiments: Tests of Individualized Geocoding in Stated Preference Questionnaires," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170191, Agricultural and Applied Economics Association.
    29. Thijs Dekker & Paul Koster & Roy Brouwer, 2013. "Changing with the Tide: Semi-Parametric Estimation of Preference Dynamics," Tinbergen Institute Discussion Papers 13-074/VIII, Tinbergen Institute.
    30. Uwamariya, Beatrice, 2014. "Assessment of Consumer Awareness and Preferences for Quality Certification and Origin-Labeling in Fruit Salads in Kigali,Rwanda," Research Theses 198512, Collaborative Masters Program in Agricultural and Applied Economics.
    31. Palma, David & Dios Ortuzar, Juan de & Casaubon, Gerard & Rizzi, Luis I. & Agosin, Eduardo, 2013. "Measuring consumer preferences using hybrid discrete choice models," Working Papers 164855, American Association of Wine Economists.
    32. Carole Ropars–Collet & Mélody Leplat & Philippe Le Goffe & Marie Lesueur, 2015. "Commercial Fishery as an Asset for Recreational Demand on the Coastline: Evidence from a Choice Experiment in France, United Kingdom and Belgium," 2015 EAFE (European Association of Fisheries Economists) Conference Papers 009, Nisea.
    33. Tienhaara, Annika & Pouta, Eija & Lunner Kolstrup, Christina & Pinzke, Stefan & Janmere, Lana & Järvinen, Maija, 2014. "Consumer preferences for riding lessons in Finland, Sweden and Latvia," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182732, European Association of Agricultural Economists.
    34. Crabbe, Marjolein & Akinc, Deniz & Vandebroek, Martina, 2014. "Fast algorithms to generate individualized designs for the mixed logit choice model," Transportation Research Part B: Methodological, Elsevier, vol. 60(C), pages 1-15.

  43. Rose, John M. & Bliemer, Michiel C.J. & Hensher, David A. & Collins, Andrew T., 2008. "Designing efficient stated choice experiments in the presence of reference alternatives," Transportation Research Part B: Methodological, Elsevier, vol. 42(4), pages 395-406, May.

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    1. Matthews, Yvonne & Scarpa, Riccardo & Marsh, Dan, 2017. "Using virtual environments to improve the realism of choice experiments: A case study about coastal erosion management," Journal of Environmental Economics and Management, Elsevier, vol. 81(C), pages 193-208.
    2. Kerr, Geoffrey N. & Sharp, Basil M.H., 2010. "Choice experiment adaptive design benefits: a case study," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 54(4), pages 1-14.
    3. Sadhukhan, Shubhajit & Banerjee, Uttam K. & Maitra, Bhargab, 2017. "Rationality of fare increment for improvement of transfer facilities at metro stations: An experience in Kolkata," Transport Policy, Elsevier, vol. 58(C), pages 31-38.
    4. Gao, Kun & Sun, Lijun & Yang, Ying & Meng, Fanyu & Qu, Xiaobo, 2021. "Cumulative prospect theory coupled with multi-attribute decision making for modeling travel behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 148(C), pages 1-21.
    5. Li, Hao & Gao, Kun & Tu, Huizhao, 2017. "Variations in mode-specific valuations of travel time reliability and in-vehicle crowding: Implications for demand estimation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 103(C), pages 250-263.
    6. Schmid, Basil & Jokubauskaite, Simona & Aschauer, Florian & Peer, Stefanie & Hössinger, Reinhard & Gerike, Regine & Jara-Diaz, Sergio R. & Axhausen, Kay W., 2019. "A pooled RP/SP mode, route and destination choice model to investigate mode and user-type effects in the value of travel time savings," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 262-294.
    7. Kessels, Roselinde, 2016. "Homogeneous versus heterogeneous designs for stated choice experiments: Ain't homogeneous designs all bad?," Journal of choice modelling, Elsevier, vol. 21(C), pages 2-9.
    8. dell'Olio, Luigi & Ibeas, Angel & Cecin, Patricia, 2011. "The quality of service desired by public transport users," Transport Policy, Elsevier, vol. 18(1), pages 217-227, January.
    9. Rose, John M. & Beck, Matthew J. & Hensher, David A., 2015. "The joint estimation of respondent-reported certainty and acceptability with choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 71(C), pages 141-152.
    10. Fifer, Simon & Rose, John & Greaves, Stephen, 2014. "Hypothetical bias in Stated Choice Experiments: Is it a problem? And if so, how do we deal with it?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 61(C), pages 164-177.
    11. Zijlstra, Toon & Goos, Peter & Verhetsel, Ann, 2019. "A mixture-amount stated preference study on the mobility budget," Transportation Research Part A: Policy and Practice, Elsevier, vol. 126(C), pages 230-246.
    12. Hasnine, Md Sami & Habib, Khandker Nurul, 2020. "Transportation demand management (TDM) and social justice: A case study of differential impacts of TDM strategies on various income groups," Transport Policy, Elsevier, vol. 94(C), pages 1-10.
    13. Milan Scasny & Milan Scasny & Iva Zverinova & Mikolaj Czajkowski, 2015. "Individual preference for the alternative fuel vehicles and their attributes in Poland," EcoMod2015 8575, EcoMod.
    14. Mabit, Stefan L. & Cherchi, Elisabetta & Jensen, Anders F. & Jordal-Jørgensen, Jørgen, 2015. "The effect of attitudes on reference-dependent preferences: Estimation and validation for the case of alternative-fuel vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 82(C), pages 17-28.
    15. Evgeniy M. Ozhegov & Alina Ozhegova, 2018. "Segmentation of Theatre Audiences: A Latent Class Approach for Combined Data," HSE Working papers WP BRP 198/EC/2018, National Research University Higher School of Economics.
    16. Bellizzi, Maria Grazia & dell’Olio, Luigi & Eboli, Laura & Mazzulla, Gabriella, 2021. "Detecting passengers' heterogeneity on airlines’ services using SP data," Journal of Air Transport Management, Elsevier, vol. 96(C).
    17. Maria Grazia Bellizzi & Luigi dell’Olio & Laura Eboli & Carmen Forciniti & Gabriella Mazzulla, 2020. "Passengers’ Expectations on Airlines’ Services: Design of a Stated Preference Survey and Preliminary Outcomes," Sustainability, MDPI, vol. 12(11), pages 1-14, June.
    18. Gao, Kun & Yang, Ying & Li, Aoyong & Li, Junhong & Yu, Bo, 2021. "Quantifying economic benefits from free-floating bike-sharing systems: A trip-level inference approach and city-scale analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 144(C), pages 89-103.
    19. Li, Hao & Tu, Huizhao & Hensher, David A., 2016. "Integrating the mean–variance and scheduling approaches to allow for schedule delay and trip time variability under uncertainty," Transportation Research Part A: Policy and Practice, Elsevier, vol. 89(C), pages 151-163.
    20. Bouscasse, Hélène & de Lapparent, Matthieu, 2019. "Perceived comfort and values of travel time savings in the Rhône-Alpes Region," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 370-387.
    21. Marcucci, Edoardo & Gatta, Valerio & Scaccia, Luisa, 2015. "Urban freight, parking and pricing policies: An evaluation from a transport providers’ perspective," Transportation Research Part A: Policy and Practice, Elsevier, vol. 74(C), pages 239-249.
    22. Danaf, Mazen & Atasoy, Bilge & de Azevedo, Carlos Lima & Ding-Mastera, Jing & Abou-Zeid, Maya & Cox, Nathaniel & Zhao, Fang & Ben-Akiva, Moshe, 2019. "Context-aware stated preferences with smartphone-based travel surveys," Journal of choice modelling, Elsevier, vol. 31(C), pages 35-50.
    23. Capurso, Mauro & Hess, Stephane & Dekker, Thijs, 2019. "Modelling the role of consideration of alternatives in mode choice: An application on the Rome-Milan corridor," Transportation Research Part A: Policy and Practice, Elsevier, vol. 129(C), pages 170-184.
    24. Kerr, Geoffrey N. & Abell, Walter L., 2014. "What’s your game? Heterogeneity amongst New Zealand hunters," 2014 Conference, August 28-29, 2014, Nelson, New Zealand 187501, New Zealand Agricultural and Resource Economics Society.
    25. Caputo, Vincenzina & Lusk, Jayson L. & Nayga, Rodolfo M., 2018. "Choice experiments are not conducted in a vacuum: The effects of external price information on choice behavior," Journal of Economic Behavior & Organization, Elsevier, vol. 145(C), pages 335-351.
    26. Alix Le Goff & Guillaume Monchambert & Charles Raux, 2022. "Are solo driving commuters ready to switch to carpool? Heterogeneity of preferences in Lyon's urban area," Post-Print halshs-03874904, HAL.
    27. Pengfei Li & Donggen Wang, 2008. "Numerical Analysis of the Statistical Properties of Uniform Design in Stated Choice Modelling," Transport Reviews, Taylor & Francis Journals, vol. 29(5), pages 619-634, December.
    28. James Agarwal & Wayne DeSarbo & Naresh K. Malhotra & Vithala Rao, 2015. "An Interdisciplinary Review of Research in Conjoint Analysis: Recent Developments and Directions for Future Research," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 2(1), pages 19-40, March.
    29. Dam, Thi Huyen Trang & Tur-Cardona, Juan & Speelman, Stijn & Amjath-Babu, T.S. & Sam, Anu Susan & Zander, Peter, 2021. "Incremental and transformative adaptation preferences of rice farmers against increasing soil salinity - Evidence from choice experiments in north central Vietnam," Agricultural Systems, Elsevier, vol. 190(C).
    30. Chinedu, Obi & Sanou, Edouard & Tur-Cardona, Juan & Bartolini, Fabio & Gheysen, Godelieve & Speelman, Stijn, 2018. "Farmers’ valuation of transgenic biofortified sorghum for nutritional improvement in Burkina Faso: A latent class approach," Food Policy, Elsevier, vol. 79(C), pages 132-140.
    31. Que, Sisi & Awuah-Offei, Kwame & Weidner, Nathan & Wang, Yumin, 2017. "Discrete choice experiment validation: A resource project case study," Journal of choice modelling, Elsevier, vol. 22(C), pages 39-50.
    32. Masiero, Lorenzo & Rose, John M., 2013. "The role of the reference alternative in the specification of asymmetric discrete choice models," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 53(C), pages 83-92.
    33. Rheinberger, Christoph M. & Schläpfer, Felix & Lobsiger, Michael, 2017. "A Novel Approach to Estimating the Demand Value of Road Safety," ETA: Economic Theory and Applications 254045, Fondazione Eni Enrico Mattei (FEEM).
    34. Qian, Lixian & Grisolía, Jose M. & Soopramanien, Didier, 2019. "The impact of service and government-policy attributes on consumer preferences for electric vehicles in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 122(C), pages 70-84.
    35. William H. Greene & David A. Hensher, 2013. "Revealing additional dimensions of preference heterogeneity in a latent class mixed multinomial logit model," Applied Economics, Taylor & Francis Journals, vol. 45(14), pages 1897-1902, May.
    36. Gelaw, Fekadu & Speelman, Stijn & Van Huylenbroeck, Guido, 2016. "Farmers’ marketing preferences in local coffee markets: Evidence from a choice experiment in Ethiopia," Food Policy, Elsevier, vol. 61(C), pages 92-102.
    37. Reema Bera & Bhargab Maitra, 2021. "Analyzing Prospective Owners’ Choice Decision towards Plug-in Hybrid Electric Vehicles in Urban India: A Stated Preference Discrete Choice Experiment," Sustainability, MDPI, vol. 13(14), pages 1-24, July.
    38. Robert J. Johnston & Kevin J. Boyle & Wiktor (Vic) Adamowicz & Jeff Bennett & Roy Brouwer & Trudy Ann Cameron & W. Michael Hanemann & Nick Hanley & Mandy Ryan & Riccardo Scarpa & Roger Tourangeau & Ch, 2017. "Contemporary Guidance for Stated Preference Studies," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 4(2), pages 319-405.
    39. Palhazi Cuervo, Daniel & Kessels, Roselinde & Goos, Peter & Sörensen, Kenneth, 2016. "An integrated algorithm for the optimal design of stated choice experiments with partial profiles," Transportation Research Part B: Methodological, Elsevier, vol. 93(PA), pages 648-669.
    40. Haghani, Milad & Bliemer, Michiel C.J. & Rose, John M. & Oppewal, Harmen & Lancsar, Emily, 2021. "Hypothetical bias in stated choice experiments: Part II. Conceptualisation of external validity, sources and explanations of bias and effectiveness of mitigation methods," Journal of choice modelling, Elsevier, vol. 41(C).
    41. Masiero, Lorenzo & Hensher, David A., 2010. "Analyzing loss aversion and diminishing sensitivity in a freight transport stated choice experiment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(5), pages 349-358, June.
    42. Zhu, Wei & Timmermans, Harry, 2010. "Modeling simplifying information processing strategies in conjoint experiments," Transportation Research Part B: Methodological, Elsevier, vol. 44(6), pages 764-780, July.
    43. Schaafsma, Marije & Brouwer, Roy & Rose, John, 2012. "Directional heterogeneity in WTP models for environmental valuation," Ecological Economics, Elsevier, vol. 79(C), pages 21-31.
    44. Williams, Galina & Rolfe, John, 2017. "Willingness to pay for emissions reduction: Application of choice modeling under uncertainty and different management options," Energy Economics, Elsevier, vol. 62(C), pages 302-311.
    45. Sadhukhan, Shubhajit & Banerjee, Uttam K. & Maitra, Bhargab, 2016. "Commuters’ willingness-to-pay for improvement of transfer facilities in and around metro stations – A case study in Kolkata," Transportation Research Part A: Policy and Practice, Elsevier, vol. 92(C), pages 43-58.
    46. Probst, Lorenz & Houedjofonon, Elysée & Ayerakwa, Hayford Mensah & Haas, Rainer, 2012. "Will they buy it? The potential for marketing organic vegetables in the food vending sector to strengthen vegetable safety: A choice experiment study in three West African cities," Food Policy, Elsevier, vol. 37(3), pages 296-308.
    47. William Greene & David Hensher, 2010. "Does scale heterogeneity across individuals matter? An empirical assessment of alternative logit models," Transportation, Springer, vol. 37(3), pages 413-428, May.
    48. Jasper Knockaert & Stefanie Peer & Erik Verhoef, 2016. "Identification of self-selection biases in field experiments using stated preference experiments," Natural Field Experiments 00568, The Field Experiments Website.
    49. Jiang, Qi & Penn, Jerrod & Hu, Wuyang, 2022. "Real payment priming to reduce potential hypothetical bias," Journal of choice modelling, Elsevier, vol. 45(C).
    50. Kaleb S. Jada & Mequanint B. Melesse & Marrit Berg, 2023. "The effects of safety certification and nutrition messaging on the demand for nutritionally enhanced food in urban Ethiopia," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 15(2), pages 395-409, April.
    51. Allard, Ryan F. & Moura, Filipe, 2018. "Effect of transport transfer quality on intercity passenger mode choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 109(C), pages 89-107.
    52. Jeff Bennett & Jeremy Cheesman & Russell Blamey & Marit Kragt, 2016. "Estimating the non-market benefits of environmental flows in the Hawkesbury-Nepean River," Journal of Environmental Economics and Policy, Taylor & Francis Journals, vol. 5(2), pages 236-248, July.
    53. Richard Carson & Jordan Louviere, 2011. "A Common Nomenclature for Stated Preference Elicitation Approaches," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 49(4), pages 539-559, August.
    54. Zheng, Zuduo & Washington, Simon & Hyland, Paul & Sloan, Keith & Liu, Yulin, 2016. "Preference heterogeneity in mode choice based on a nationwide survey with a focus on urban rail," Transportation Research Part A: Policy and Practice, Elsevier, vol. 91(C), pages 178-194.
    55. Garcia-Martinez, Andres & Cascajo, Rocio & Jara-Diaz, Sergio R. & Chowdhury, Subeh & Monzon, Andres, 2018. "Transfer penalties in multimodal public transport networks," Transportation Research Part A: Policy and Practice, Elsevier, vol. 114(PA), pages 52-66.
    56. John Rose & David Hensher, 2014. "Tollroads are only part of the overall trip: the error of our ways in past willingness to pay studies," Transportation, Springer, vol. 41(4), pages 819-837, July.
    57. Mzek, Tareq & Samdin, Zaiton & W. Mohamad, Wan Norhidayah, 2022. "Assessing visitors' preferences and willingness to pay for the Malayan Tiger conservation in a Malaysian National Park: A choice experiment method," Ecological Economics, Elsevier, vol. 191(C).
    58. Leong, Waiyan & Hensher, David A., 2014. "Relative advantage maximisation as a model of context dependence for binary choice data," Journal of choice modelling, Elsevier, vol. 11(C), pages 30-42.
    59. Beck, Matthew J. & Rose, John M. & Hensher, David A., 2013. "Environmental attitudes and emissions charging: An example of policy implications for vehicle choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 50(C), pages 171-182.
    60. Mikkel Thorhauge & Akshay Vij & Elisabetta Cherchi, 2021. "Heterogeneity in departure time preferences, flexibility and schedule constraints," Transportation, Springer, vol. 48(4), pages 1865-1893, August.
    61. Hensher, David A., 2008. "Influence of vehicle occupancy on the valuation of car driver's travel time savings: Identifying important behavioural segments," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(1), pages 67-76, January.
    62. Rosa Marina González & Concepción Román & Francisco Javier Amador & Luis Ignacio Rizzi & Juan de Dios Ortúzar & Raquel Espino & Juan Carlos Martín & Elisabetta Cherchi, 2018. "Estimating the value of risk reductions for car drivers when pedestrians are involved: a case study in Spain," Transportation, Springer, vol. 45(2), pages 499-521, March.
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    65. Roshan Sherchan & Rajesh Kumar Rai & Roshani Rai & Arun Dhakal, 2022. "Designing a community-based insurance scheme to reduce human–wildlife conflict," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(4), pages 5112-5130, April.
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    71. Barwitz, Niklas, 2020. "The relevance of interaction choice: Customer preferences and willingness to pay," Journal of Retailing and Consumer Services, Elsevier, vol. 53(C).
    72. Bera, Reema & Maitra, Bhargab, 2021. "Assessing consumer preferences for Plug-in Hybrid Electric Vehicle (PHEV): An Indian perspective," Research in Transportation Economics, Elsevier, vol. 90(C).
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    74. He, Fei & Lai, John & Court, Christa D. & Borisova, Tatiana & Athearn, Kevin R., 2023. "Producers Willingness to Adopt Best Management Practices in Floridan Aquifer Region," 2023 Annual Meeting, July 23-25, Washington D.C. 335650, Agricultural and Applied Economics Association.
    75. Hensher, David A., 2010. "Hypothetical bias, choice experiments and willingness to pay," Transportation Research Part B: Methodological, Elsevier, vol. 44(6), pages 735-752, July.
    76. Basil Schmid & Milos Balac & Kay W. Axhausen, 2019. "Post-Car World: data collection methods and response behavior in a multi-stage travel survey," Transportation, Springer, vol. 46(2), pages 425-492, April.
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    79. David Hensher & David Layton, 2010. "Parameter transfer of common-metric attributes in choice analysis: implications for willingness to pay," Transportation, Springer, vol. 37(3), pages 473-490, May.
    80. John Rose & Michiel Bliemer, 2013. "Sample size requirements for stated choice experiments," Transportation, Springer, vol. 40(5), pages 1021-1041, September.
    81. Theys, Tobias & Adriaenssens, Stef & Verhaest, Dieter & Deschacht, Nick & Rousseau, Sandra, 2020. "Disentangling language from ethnic preferences in the recruitment of domestic workers: A discrete choice experiment," Journal of Business Research, Elsevier, vol. 117(C), pages 144-151.
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    129. Mesfin G. Genie & Nicolas Krucien & Mandy Ryan, 2021. "Weighting or aggregating? Investigating information processing in multi‐attribute choices," Health Economics, John Wiley & Sons, Ltd., vol. 30(6), pages 1291-1305, June.
    130. Dominika WOJTOWICZ & Michał WOLAŃSKI & Šukasz WIDŠA-DOMARADZKI, 2015. "The use of conjoint method for assessing the relevance of railway investments," Transport Problems, Silesian University of Technology, Faculty of Transport, vol. 10(1), pages 121-135, March.
    131. Chalak, Ali & Al-Naghi, Hani & Irani, Alexandra & Abou-Zeid, Maya, 2016. "Commuters’ behavior towards upgraded bus services in Greater Beirut: Implications for greenhouse gas emissions, social welfare and transport policy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 88(C), pages 265-285.
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    136. Rajesh Kumar Rai & Mani Nepal & Madan Singh Khadayat & Bishal Bhardwaj, 2019. "Improving Municipal Solid Waste Collection Services in Developing Countries: A Case of Bharatpur Metropolitan City, Nepal," Sustainability, MDPI, vol. 11(11), pages 1-17, May.
    137. Correia, Gonçalo Homem de Almeida & Looff, Erwin & van Cranenburgh, Sander & Snelder, Maaike & van Arem, Bart, 2019. "On the impact of vehicle automation on the value of travel time while performing work and leisure activities in a car: Theoretical insights and results from a stated preference survey," Transportation Research Part A: Policy and Practice, Elsevier, vol. 119(C), pages 359-382.
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  44. Bliemer, Michiel C. J. & Bovy, Piet H. L., 2003. "Quasi-variational inequality formulation of the multiclass dynamic traffic assignment problem," Transportation Research Part B: Methodological, Elsevier, vol. 37(6), pages 501-519, July.

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    1. Laval, Jorge A., 2009. "Graphical solution and continuum approximation for the single destination dynamic user equilibrium problem," Transportation Research Part B: Methodological, Elsevier, vol. 43(1), pages 108-118, January.
    2. Ke Han & Gabriel Eve & Terry L. Friesz, 2019. "Computing Dynamic User Equilibria on Large-Scale Networks with Software Implementation," Networks and Spatial Economics, Springer, vol. 19(3), pages 869-902, September.
    3. Xia Yang & Xuegang Jeff Ban & Rui Ma, 2017. "Mixed Equilibria with Common Constraints on Transportation Networks," Networks and Spatial Economics, Springer, vol. 17(2), pages 547-579, June.
    4. Karakostas, George & Kim, Taeyon & Viglas, Anastasios & Xia, Hao, 2011. "On the degradation of performance for traffic networks with oblivious users," Transportation Research Part B: Methodological, Elsevier, vol. 45(2), pages 364-371, February.
    5. NESTEROV, Yu. & SCRIMALI, Laura, 2006. "Solving strongly monotone variational and quasi-variational inequalities," LIDAM Discussion Papers CORE 2006107, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    6. Jiancheng Long & Hai-Jun Huang & Ziyou Gao & W. Y. Szeto, 2013. "An Intersection-Movement-Based Dynamic User Optimal Route Choice Problem," Operations Research, INFORMS, vol. 61(5), pages 1134-1147, October.
    7. Wilfredo Yushimito & Xuegang Ban & José Holguín-Veras, 2015. "Correcting the Market Failure in Work Trips with Work Rescheduling: An Analysis Using Bi-level Models for the Firm-workers Interplay," Networks and Spatial Economics, Springer, vol. 15(3), pages 883-915, September.
    8. Friesz, Terry L. & Han, Ke, 2019. "The mathematical foundations of dynamic user equilibrium," Transportation Research Part B: Methodological, Elsevier, vol. 126(C), pages 309-328.
    9. Francisco Facchinei & Christian Kanzow & Sebastian Karl & Simone Sagratella, 2015. "The semismooth Newton method for the solution of quasi-variational inequalities," Computational Optimization and Applications, Springer, vol. 62(1), pages 85-109, September.
    10. Michael W. Levin & Melissa Duell & S. Travis Waller, 2020. "Arrival Time Reliability in Strategic User Equilibrium," Networks and Spatial Economics, Springer, vol. 20(3), pages 803-831, September.
    11. Chang, Justin Sueun & Mackett, Roger Laurence, 2006. "A bi-level model of the relationship between transport and residential location," Transportation Research Part B: Methodological, Elsevier, vol. 40(2), pages 123-146, February.
    12. Christian Kanzow & Daniel Steck, 2018. "Augmented Lagrangian and exact penalty methods for quasi-variational inequalities," Computational Optimization and Applications, Springer, vol. 69(3), pages 801-824, April.
    13. Ciarcià, Carla & Daniele, Patrizia, 2016. "New existence theorems for quasi-variational inequalities and applications to financial models," European Journal of Operational Research, Elsevier, vol. 251(1), pages 288-299.
    14. Xinhua Mao & Jianwei Wang & Changwei Yuan & Wei Yu & Jiahua Gan, 2018. "A Dynamic Traffic Assignment Model for the Sustainability of Pavement Performance," Sustainability, MDPI, vol. 11(1), pages 1-19, December.
    15. Axel Dreves & Simone Sagratella, 2020. "Nonsingularity and Stationarity Results for Quasi-Variational Inequalities," Journal of Optimization Theory and Applications, Springer, vol. 185(3), pages 711-743, June.
    16. Friesz, Terry L. & Kim, Taeil & Kwon, Changhyun & Rigdon, Matthew A., 2011. "Approximate network loading and dual-time-scale dynamic user equilibrium," Transportation Research Part B: Methodological, Elsevier, vol. 45(1), pages 176-207, January.
    17. M. Castellani & M. Giuli, 2019. "A coercivity condition for nonmonotone quasiequilibria on finite-dimensional spaces," Journal of Global Optimization, Springer, vol. 75(1), pages 163-176, September.
    18. N. Nezamuddin & Stephen Boyles, 2015. "A Continuous DUE Algorithm Using the Link Transmission Model," Networks and Spatial Economics, Springer, vol. 15(3), pages 465-483, September.
    19. Ban, Xuegang (Jeff) & Liu, Henry X. & Ferris, Michael C. & Ran, Bin, 2008. "A link-node complementarity model and solution algorithm for dynamic user equilibria with exact flow propagations," Transportation Research Part B: Methodological, Elsevier, vol. 42(9), pages 823-842, November.

Chapters

  1. John M. Rose & Michiel C.J. Bliemer, 2014. "Stated choice experimental design theory: the who, the what and the why," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 7, pages 152-177, Edward Elgar Publishing.

    Cited by:

    1. Chorus, Caspar G., 2015. "Models of moral decision making: Literature review and research agenda for discrete choice analysis," Journal of choice modelling, Elsevier, vol. 16(C), pages 69-85.
    2. Lusk, Jayson L. & Tonsor, Glynn T. & Schroeder, Ted C. & Hayes, Dermot J., 2018. "Effect of government quality grade labels on consumer demand for pork chops in the short and long run," ISU General Staff Papers 201804260700001615, Iowa State University, Department of Economics.
    3. Marcucci, Edoardo & Gatta, Valerio & Le Pira, Michela, 2018. "Gamification design to foster stakeholder engagement and behavior change: An application to urban freight transport," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 119-132.
    4. Xu, Chenchen & Luo, Yiyang & Fuellhart, Kurt & Shao, Quan & Witlox, Frank, 2023. "Modeling exit choice behavior in airplane emergency evacuations," Journal of Air Transport Management, Elsevier, vol. 112(C).
    5. Großmann, Heiko, 2019. "A practical approach to designing partial-profile choice experiments with two alternatives for estimating main effects and interactions of many two-level attributes," Journal of choice modelling, Elsevier, vol. 32(C), pages 1-1.
    6. Solvi Hoen, Fredrik & Díez-Gutiérrez, María & Babri, Sahar & Hess, Stephane & Tørset, Trude, 2023. "Charging electric vehicles on long trips and the willingness to pay to reduce waiting for charging. Stated preference survey in Norway," Transportation Research Part A: Policy and Practice, Elsevier, vol. 175(C).
    7. Lehmann, Nico & Sloot, Daniel & Ardone, Armin & Fichtner, Wolf, 2022. "Consumer preferences for the design of a demand response quota scheme – Results of a choice experiment in Germany," Energy Policy, Elsevier, vol. 167(C).
    8. Anciaes, Paulo & Metcalfe, Paul & Heywood, Chris & Sheldon, Rob, 2019. "The impact of fare complexity on rail demand," Transportation Research Part A: Policy and Practice, Elsevier, vol. 120(C), pages 224-238.
    9. Fosgerau, Mogens & Börjesson, Maria, 2015. "Manipulating a stated choice experiment," Journal of choice modelling, Elsevier, vol. 16(C), pages 43-49.
    10. Mokas, Ilias & Lizin, Sebastien & Brijs, Tom & Witters, Nele & Malina, Robert, 2021. "Can immersive virtual reality increase respondents’ certainty in discrete choice experiments? A comparison with traditional presentation formats," Journal of Environmental Economics and Management, Elsevier, vol. 109(C).
    11. Stephane Hess & Emily Lancsar & Petr Mariel & Jürgen Meyerhoff & Fangqing Song & Eline van den Broek-Altenburg & Olufunke Alaba & Gloria Amaris & Julián Arellana & Leonardo Basso & Jamie Benson & Luis, 2022. "The path towards herd immunity: Predicting COVID-19 vaccination uptake through results from a stated choice study across six continents," Post-Print hal-03778395, HAL.
    12. Pérez-Troncoso, Daniel, 2022. "Optimal sequential strategy to improve the precision of the estimators in a discrete choice experiment: A simulation study," Journal of choice modelling, Elsevier, vol. 43(C).
    13. Guevara, C. Angelo & Hess, Stephane, 2019. "A control-function approach to correct for endogeneity in discrete choice models estimated on SP-off-RP data and contrasts with an earlier FIML approach by Train & Wilson," Transportation Research Part B: Methodological, Elsevier, vol. 123(C), pages 224-239.
    14. Hess, Stephane & Daly, Andrew & Dekker, Thijs & Cabral, Manuel Ojeda & Batley, Richard, 2017. "A framework for capturing heterogeneity, heteroskedasticity, non-linearity, reference dependence and design artefacts in value of time research," Transportation Research Part B: Methodological, Elsevier, vol. 96(C), pages 126-149.
    15. Lehmann, Nico & Sloot, Daniel & Ardone, Armin & Fichtner, Wolf, 2021. "The limited potential of regional electricity marketing – Results from two discrete choice experiments in Germany," Energy Economics, Elsevier, vol. 100(C).
    16. Kemperman, Astrid, 2021. "A review of research into discrete choice experiments in tourism: Launching the Annals of Tourism Research Curated Collection on Discrete Choice Experiments in Tourism," Annals of Tourism Research, Elsevier, vol. 87(C).
    17. Hess, Stephane & Spitz, Greg & Bradley, Mark & Coogan, Matt, 2018. "Analysis of mode choice for intercity travel: Application of a hybrid choice model to two distinct US corridors," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 547-567.

  2. Hao Li & Michiel C.J. Bliemer & Piet H.L. Bovy, 2009. "Reliability-based Dynamic Discrete Network Design with Stochastic Networks," Springer Books, in: William H. K. Lam & S. C. Wong & Hong K. Lo (ed.), Transportation and Traffic Theory 2009: Golden Jubilee, chapter 0, pages 651-673, Springer.

    Cited by:

    1. Li, Hao & Tu, Huizhao & Hensher, David A., 2016. "Integrating the mean–variance and scheduling approaches to allow for schedule delay and trip time variability under uncertainty," Transportation Research Part A: Policy and Practice, Elsevier, vol. 89(C), pages 151-163.
    2. Biao Xiong & Bixin Li & Rong Fan & Qingzhong Zhou & Wu Li, 2017. "Modeling and Simulation for Effectiveness Evaluation of Dynamic Discrete Military Supply Chain Networks," Complexity, Hindawi, vol. 2017, pages 1-9, October.
    3. Liu, Qiumin & Jiang, Rui & Liu, Ronghui & Zhao, Hui & Gao, Ziyou, 2020. "Travel cost budget based user equilibrium in a bottleneck model with stochastic capacity," Transportation Research Part B: Methodological, Elsevier, vol. 139(C), pages 1-37.

  3. Dirk van Amelsfort & Piet Bovy & Michiel Bliemer & Barry Ubbels, 2008. "Travellers’ Responses to Road Pricing: Value of Time, Schedule Delay and Unreliability," Chapters, in: Erik Verhoef & Michiel C.J. Bliemer & Linda Steg & Bert van Wee (ed.), Pricing in Road Transport, chapter 4, Edward Elgar Publishing.

    Cited by:

    1. Li, Hao & Tu, Huizhao & Hensher, David A., 2016. "Integrating the mean–variance and scheduling approaches to allow for schedule delay and trip time variability under uncertainty," Transportation Research Part A: Policy and Practice, Elsevier, vol. 89(C), pages 151-163.
    2. Morteza Chalak & Veronique Florec & Atakelty Hailu & Fiona Gibson & David Pannell, 2017. "Integrating non-market values in economic analyses of flood mitigation: a case study of the Brown Hill and Keswick creeks catchment in Adelaide," Working Papers 256513, University of Western Australia, School of Agricultural and Resource Economics.
    3. Dogterom, Nico & Ettema, Dick & Dijst, Martin, 2018. "Behavioural effects of a tradable driving credit scheme: Results of an online stated adaptation experiment in the Netherlands," Transportation Research Part A: Policy and Practice, Elsevier, vol. 107(C), pages 52-64.
    4. Li, Zheng & Hensher, David A., 2012. "Congestion charging and car use: A review of stated preference and opinion studies and market monitoring evidence," Transport Policy, Elsevier, vol. 20(C), pages 47-61.

Books

  1. Erik Verhoef & Michiel C.J. Bliemer & Linda Steg & Bert van Wee (ed.), 2008. "Pricing in Road Transport," Books, Edward Elgar Publishing, number 4192.

    Cited by:

    1. Jan Rouwendal & Jos van Ommeren, 2007. "Recruitment in a Monopsonistic Labour Market: Will Travel Costs be reimbursed?," Tinbergen Institute Discussion Papers 07-044/3, Tinbergen Institute, revised 03 Sep 2008.
    2. Hensher, David A. & Bliemer, Michiel C.J., 2014. "What type of road pricing scheme might appeal to politicians? Viewpoints on the challenge in gaining the citizen and public servant vote by staging reform," Transportation Research Part A: Policy and Practice, Elsevier, vol. 61(C), pages 227-237.
    3. Li, Hao & Tu, Huizhao & Hensher, David A., 2016. "Integrating the mean–variance and scheduling approaches to allow for schedule delay and trip time variability under uncertainty," Transportation Research Part A: Policy and Practice, Elsevier, vol. 89(C), pages 151-163.
    4. Ardıç, Özgül & Annema, Jan Anne & van Wee, Bert, 2015. "The reciprocal relationship between policy debate and media coverage: The case of road pricing policy in the Netherlands," Transportation Research Part A: Policy and Practice, Elsevier, vol. 78(C), pages 384-399.
    5. Georgina Santos & Erik Verhoef, 2011. "Road Congestion Pricing," Chapters, in: André de Palma & Robin Lindsey & Emile Quinet & Roger Vickerman (ed.), A Handbook of Transport Economics, chapter 23, Edward Elgar Publishing.
    6. Ingrid Moons & Patrick De Pelsmacker, 2015. "An Extended Decomposed Theory of Planned Behaviour to Predict the Usage Intention of the Electric Car: A Multi-Group Comparison," Sustainability, MDPI, vol. 7(5), pages 1-34, May.
    7. David Hensher & Corinne Mulley, 2014. "Complementing distance based charges with discounted registration fees in the reform of road user charges: the impact for motorists and government revenue," Transportation, Springer, vol. 41(4), pages 697-715, July.
    8. Kenneth D. Boyer, 2016. "Three Principles for Optimal Pricing of Trackage Rights," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 49(2), pages 347-369, September.
    9. Taede Tillema & Erik Verhoef & Bert van Wee & Dirk van Amelsfort, 2011. "Evaluating the effects of urban congestion pricing: geographical accessibility versus social surplus," Transportation Planning and Technology, Taylor & Francis Journals, vol. 34(7), pages 669-689, April.
    10. Condeço-Melhorado, Ana & Gutiérrez, Javier & García-Palomares, Juan Carlos, 2011. "Spatial impacts of road pricing: Accessibility, regional spillovers and territorial cohesion," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(3), pages 185-203, March.
    11. Moshe Givoni, 2012. "Re-assessing the Results of the London Congestion Charging Scheme," Urban Studies, Urban Studies Journal Limited, vol. 49(5), pages 1089-1105, April.
    12. Ingrid Moons & Patrick De Pelsmacker, 2015. "Self-Brand Personality Differences and Attitudes towards Electric Cars," Sustainability, MDPI, vol. 7(9), pages 1-18, September.
    13. Jos N. van Ommeren & Eva Gutierrez-i-Puigarnau, 2011. "Distortionary Company Car Taxation: Deadweight Losses through Increased Car Ownership," Tinbergen Institute Discussion Papers 11-100/3, Tinbergen Institute.
    14. Kim, Junghwa & Schmöcker, Jan-Dirk & Fujii, Satoshi & Noland, Robert B., 2013. "Attitudes towards road pricing and environmental taxation among US and UK students," Transportation Research Part A: Policy and Practice, Elsevier, vol. 48(C), pages 50-62.
    15. Mehdizadeh, Milad & Shariat-Mohaymany, Afshin, 2021. "Who are less likely to vote for a low emission charging zone? Attitudes and adoption of hybrid and electric vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 146(C), pages 29-43.
    16. Eva Gutiérrez-i-Puigarnau & Jos van Ommeren, 2007. "Welfare Effects of Distortionary Company Car Taxation," Tinbergen Institute Discussion Papers 07-060/3, Tinbergen Institute, revised 20 Mar 2009.
    17. Morteza Chalak & Veronique Florec & Atakelty Hailu & Fiona Gibson & David Pannell, 2017. "Integrating non-market values in economic analyses of flood mitigation: a case study of the Brown Hill and Keswick creeks catchment in Adelaide," Working Papers 256513, University of Western Australia, School of Agricultural and Resource Economics.
    18. Chorus, Caspar G. & Annema, Jan Anne & Mouter, Niek & van Wee, Bert, 2011. "Modeling politicians' preferences for road pricing policies: A regret-based and utilitarian perspective," Transport Policy, Elsevier, vol. 18(6), pages 856-861, November.
    19. Xin Li & John W. Shaw & Daizong Liu & Yun Yuan, 2019. "Acceptability of Beijing congestion charging from a business perspective," Transportation, Springer, vol. 46(3), pages 753-776, June.
    20. Damien Broussolle, 2011. "Le Peage Urbain : Une Source De Financement Acceptable ? Avec Une Application Au Cas De L’Agglomeration Strasbourgeoise," Working Papers of LaRGE Research Center 2011-07, Laboratoire de Recherche en Gestion et Economie (LaRGE), Université de Strasbourg.
    21. Meng, Qiang & Liu, Zhiyuan & Wang, Shuaian, 2012. "Optimal distance tolls under congestion pricing and continuously distributed value of time," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(5), pages 937-957.
    22. Mehdizadeh, Milad & Shariat-Mohaymany, Afshin, 2020. "Who are more likely to break the rule of congestion charging? Evidence from an active scheme with no referendum voting," Transportation Research Part A: Policy and Practice, Elsevier, vol. 135(C), pages 63-79.
    23. Wong, Yale Z. & Hensher, David A. & Mulley, Corinne, 2020. "Mobility as a service (MaaS): Charting a future context," Transportation Research Part A: Policy and Practice, Elsevier, vol. 131(C), pages 5-19.
    24. Junghwa Kim & Jan-Dirk Schmöcker & Cecilia Bergstad & Satoshi Fujii & Tommy Gärling, 2014. "The influence of personality on acceptability of sustainable transport policies," Transportation, Springer, vol. 41(4), pages 855-872, July.
    25. Tillema, Taede & van Wee, Bert & Ettema, Dick, 2010. "The influence of (toll-related) travel costs in residential location decisions of households: A stated choice approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(10), pages 785-796, December.
    26. Dieplinger, Maria & Fürst, Elmar, 2014. "The acceptability of road pricing: Evidence from two studies in Vienna and four other European cities," Transport Policy, Elsevier, vol. 36(C), pages 10-18.
    27. Bert van Wee, 2010. "The New Dutch Per-kilometre Driving Tax," ifo DICE Report, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 8(02), pages 64-68, July.
    28. Elmar Fürst & Maria Dieplinger, 2014. "The acceptability of road pricing in Vienna: the preference patterns of car drivers," Transportation, Springer, vol. 41(4), pages 765-784, July.
    29. Ieromonachou, Petros & Warren, James, 2008. "Policy Packages as potential routes to urban road pricing in the UK," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 40, pages 106-123.
    30. Kumar, Bipul, 2012. "Theory of Planned Behaviour Approach to Understand the Purchasing Behaviour for Environmentally Sustainable Products," IIMA Working Papers WP2012-12-08, Indian Institute of Management Ahmedabad, Research and Publication Department.
    31. Özgül Ardıç & Jan Anne Annema & Eric Molin & Bert Wee, 2018. "The association between news and attitudes towards a Dutch road pricing proposal," Transportation, Springer, vol. 45(3), pages 827-848, May.
    32. Zheng, Zuduo & Liu, Zhiyuan & Liu, Chuanli & Shiwakoti, Nirajan, 2014. "Understanding public response to a congestion charge: A random-effects ordered logit approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 70(C), pages 117-134.
    33. Kumar, Bipul & Manrai, Ajay K. & Manrai, Lalita A., 2017. "Purchasing behaviour for environmentally sustainable products: A conceptual framework and empirical study," Journal of Retailing and Consumer Services, Elsevier, vol. 34(C), pages 1-9.
    34. Ben-Elia, Eran & Ettema, Dick, 2011. "Rewarding rush-hour avoidance: A study of commuters' travel behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(7), pages 567-582, August.
    35. Li, Zheng & Hensher, David A., 2012. "Congestion charging and car use: A review of stated preference and opinion studies and market monitoring evidence," Transport Policy, Elsevier, vol. 20(C), pages 47-61.
    36. Owino Odhiambo Joseph, 2021. "Pro-Environmental Consumer Behavior: A Critical Review of Literature," International Journal of Business and Management, Canadian Center of Science and Education, vol. 15(1), pages 1-1, July.
    37. Lingyi Zhou & Yixin Dai, 2017. "How Smog Awareness Influences Public Acceptance of Congestion Charge Policies," Sustainability, MDPI, vol. 9(9), pages 1-15, September.
    38. Schuitema, Geertje & Steg, Linda & Forward, Sonja, 2010. "Explaining differences in acceptability before and acceptance after the implementation of a congestion charge in Stockholm," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(2), pages 99-109, February.
    39. Ben-Elia, Eran & Ettema, Dick, 2009. "Carrots versus sticks: Rewarding commuters for avoiding the rush-hour--a study of willingness to participate," Transport Policy, Elsevier, vol. 16(2), pages 68-76, March.
    40. Jyh-Fa Tsai & Shao-Yu Lu, 2018. "Reducing traffic externalities by multiple-cordon pricing," Transportation, Springer, vol. 45(2), pages 597-622, March.
    41. André de Palma & Robin Lindsey, 2009. "Traffic Congestion Pricing Methods and Technologies," Working Papers hal-00414526, HAL.
    42. Alejandro Tirachini & David Hensher & Michiel Bliemer, 2014. "Accounting for travel time variability in the optimal pricing of cars and buses," Transportation, Springer, vol. 41(5), pages 947-971, September.
    43. Karst Geurs & Henk Meurs, 2011. "The Dutch national road pricing scheme: review of appraisal studies and impacts for the Dutch car market and the environment," ERSA conference papers ersa10p1438, European Regional Science Association.
    44. Jia Shi & Xuesong Guo & Xiangnan Hu, 2019. "Engaging Stakeholders in Urban Traffic Restriction Policy Assessment Using System Dynamics: The Case Study of Xi’an City, China," Sustainability, MDPI, vol. 11(14), pages 1-16, July.
    45. Chen, Ruoyun & Nozick, Linda, 2016. "Integrating congestion pricing and transit investment planning," Transportation Research Part A: Policy and Practice, Elsevier, vol. 89(C), pages 124-139.
    46. Bliemer, Michiel C.J. & van Amelsfort, Dirk H., 2010. "Rewarding instead of charging road users: a model case study investigating effects on traffic conditions," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 44, pages 23-40.
    47. Jean-Philippe Meloche, 2019. "Towards a New Era in Road Pricing? Lessons from the Experience of First Movers," CIRANO Working Papers 2019s-35, CIRANO.
    48. Gutiérrez, Javier & Condeço-Melhorado, Ana Margarida & Martín, Juan Carlos & Román, Concepción, 2013. "Road pricing in the European Union: direct revenue transfer between countries," Journal of Transport Geography, Elsevier, vol. 33(C), pages 95-104.
    49. Misui, Yuki & 味水, 佑毅 & Nemoto, Toshinori & 根本, 敏則, 2011. "Policy Issues Associated With Road Capacity Optimization Through Social Marginal Cost Charging," Hitotsubashi Journal of commerce and management, Hitotsubashi University, vol. 45(1), pages 39-57, October.
    50. Nemoto, Toshinori & 根本, 敏則, 2013. "The Charging Principle For The Development And Maintenance Of Transport Infrastructure," Hitotsubashi Journal of commerce and management, Hitotsubashi University, vol. 47(1), pages 17-31, October.
    51. Ghafelebashi, Ali & Razaviyayn, Meisam & Dessouky, Maged, 2021. "Congestion Reduction via Personalized Incentives," Institute of Transportation Studies, Working Paper Series qt5b82168n, Institute of Transportation Studies, UC Davis.
    52. Tillema, Taede & Ben-Elia, Eran & Ettema, Dick & van Delden, Janet, 2013. "Charging versus rewarding: A comparison of road-pricing and rewarding peak avoidance in the Netherlands," Transport Policy, Elsevier, vol. 26(C), pages 4-14.
    53. Zhang, Suopeng & Zhang, Mingli & Yu, Xueying & Ren, Hao, 2016. "What keeps Chinese from recycling: Accessibility of recycling facilities and the behavior," Resources, Conservation & Recycling, Elsevier, vol. 109(C), pages 176-186.
    54. Ohazulike, Anthony E. & Still, Georg & Kern, Walter & van Berkum, Eric C., 2013. "An origin–destination based road pricing model for static and multi-period traffic assignment problems," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 58(C), pages 1-27.

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