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Ricardo A. Daziano

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.

Working papers

  1. Daziano, Ricardo A. & Sarrias, Mauricio & Leard, Benjamin, 2016. "Are consumers willing to pay to let cars drive for them? Analyzing response to autonomous vehicles," RFF Working Paper Series dp-16-35, Resources for the Future.

    Cited by:

    1. Gu, Yewen & Goez, Julio C. & Mario, Guajardo & Wallace, Stein W., 2019. "Autonomous vessels: State of the art and potential opportunities in logistics," Discussion Papers 2019/6, Norwegian School of Economics, Department of Business and Management Science.
    2. Andreja Pucihar & Iztok Zajc & Radovan Sernec & Gregor Lenart, 2019. "Living Lab as an Ecosystem for Development, Demonstration and Assessment of Autonomous Mobility Solutions," Sustainability, MDPI, vol. 11(15), pages 1-21, July.
    3. Peng Liu & Run Yang & Zhigang Xu, 2019. "Public Acceptance of Fully Automated Driving: Effects of Social Trust and Risk/Benefit Perceptions," Risk Analysis, John Wiley & Sons, vol. 39(2), pages 326-341, February.
    4. Kishore Bhoopalam, A. & van den Berg, R. & Agatz, N.A.H. & Chorus, C.G., 2021. "The long road to automated trucking: Insights from driver focus groups," ERIM Report Series Research in Management ERS-2021-003-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    5. Jingya Gao & Andisheh Ranjbari & Don MacKenzie, 2019. "Would being driven by others affect the value of travel time? Ridehailing as an analogy for automated vehicles," Transportation, Springer, vol. 46(6), pages 2103-2116, December.
    6. 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).
    7. Xu Kuang & Fuquan Zhao & Han Hao & Zongwei Liu, 2019. "Assessing the Socioeconomic Impacts of Intelligent Connected Vehicles in China: A Cost–Benefit Analysis," Sustainability, MDPI, vol. 11(12), pages 1-28, June.
    8. Mustapha Harb & Yu Xiao & Giovanni Circella & Patricia L. Mokhtarian & Joan L. Walker, 2018. "Projecting travelers into a world of self-driving vehicles: estimating travel behavior implications via a naturalistic experiment," Transportation, Springer, vol. 45(6), pages 1671-1685, November.
    9. Mohamed Alawadhi & Jumah Almazrouie & Mohammed Kamil & Khalil Abdelrazek Khalil, 2020. "A systematic literature review of the factors influencing the adoption of autonomous driving," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(6), pages 1065-1082, December.
    10. Xiaobei Jiang & Wenlin Yu & Wenjie Li & Jiawen Guo & Xizheng Chen & Hongwei Guo & Wuhong Wang & Tao Chen, 2021. "Factors Affecting the Acceptance and Willingness-to-Pay of End-Users: A Survey Analysis on Automated Vehicles," Sustainability, MDPI, vol. 13(23), pages 1-12, November.
    11. Eric Williams & Vivekananda Das & Andrew Fisher, 2020. "Assessing the Sustainability Implications of Autonomous Vehicles: Recommendations for Research Community Practice," Sustainability, MDPI, vol. 12(5), pages 1-13, March.
    12. Kenichiro Chinen & Yang Sun & Mitsutaka Matsumoto & Yoon-Young Chun, 2020. "Towards a Sustainable Society through Emerging Mobility Services: A Case of Autonomous Buses," Sustainability, MDPI, vol. 12(21), pages 1-20, November.
    13. Yoo, Sunbin & Kumagai, Junya & Kawabata, Yuta & Keeley, Alexander & Managi, Shunsuke, 2021. "Willingness to Buy and/or Pay Disparity: Evidence from Fully Autonomous Vehicles," MPRA Paper 108882, University Library of Munich, Germany.
    14. Iva Bojic & Dániel Kondor & Wei Tu & Ke Mai & Paolo Santi & Carlo Ratti, 2021. "Identifying the Potential for Partial Integration of Private and Public Transportation," Sustainability, MDPI, vol. 13(6), pages 1-16, March.
    15. Mourad, Abood & Puchinger, Jakob & Chu, Chengbin, 2019. "A survey of models and algorithms for optimizing shared mobility," Transportation Research Part B: Methodological, Elsevier, vol. 123(C), pages 323-346.
    16. Adnan, Nadia & Md Nordin, Shahrina & bin Bahruddin, Mohamad Ariff & Ali, Murad, 2018. "How trust can drive forward the user acceptance to the technology? In-vehicle technology for autonomous vehicle," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 819-836.
    17. Anne Collin & Afreen Siddiqi & Yuto Imanishi & Eric Rebentisch & Taisetsu Tanimichi & Olivier L. de Weck, 2020. "Autonomous driving systems hardware and software architecture exploration: optimizing latency and cost under safety constraints," Systems Engineering, John Wiley & Sons, vol. 23(3), pages 327-337, May.
    18. Monika Stoma & Agnieszka Dudziak & Jacek Caban & Paweł Droździel, 2021. "The Future of Autonomous Vehicles in the Opinion of Automotive Market Users," Energies, MDPI, vol. 14(16), pages 1-19, August.
    19. Akshay Vij, 2019. "Understanding consumer demand for new transport technologies and services, and implications for the future of mobility," Papers 1904.05554, arXiv.org.
    20. Peng Jing & Gang Xu & Yuexia Chen & Yuji Shi & Fengping Zhan, 2020. "The Determinants behind the Acceptance of Autonomous Vehicles: A Systematic Review," Sustainability, MDPI, vol. 12(5), pages 1-26, February.
    21. Leard, Benjamin, 2018. "Consumer inattention and the demand for vehicle fuel cost savings," Journal of choice modelling, Elsevier, vol. 29(C), pages 1-16.
    22. Scott Kaplan & Ben Gordon & Feras El Zarwi & Joan L. Walker & David Zilberman, 2019. "The Future of Autonomous Vehicles: Lessons from the Literature on Technology Adoption," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 41(4), pages 583-597, December.

  2. Daziano, Ricardo A. & Achtnicht, Martin, 2013. "Accounting for uncertainty in willingness to pay for environmental benefits," ZEW Discussion Papers 13-059, ZEW - Leibniz Centre for European Economic Research.

    Cited by:

    1. Ajayi, V. & Reiner, D., 2020. "Consumer Willingness to Pay for Reducing the Environmental Footprint of Green Plastics," Cambridge Working Papers in Economics 20110, Faculty of Economics, University of Cambridge.
    2. 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.
    3. Tina L. Saitone & Richard J. Sexton, 2017. "Agri-food supply chain: evolution and performance with conflicting consumer and societal demands," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 44(4), pages 634-657.
    4. Kragt, Marit E. & Gibsona, Fiona L. & Maseyk, Fleurk & Wilson, Kerrie A., 2018. "Public willingness to pay for carbon farming and its co-benefits," Working Papers 276116, University of Western Australia, School of Agricultural and Resource Economics.
    5. Yaser Sobhanifard & Seyed Mohammad Saleh Hashemi Apourvari, 2022. "Environmental sustainable development through modeling and ranking of influential factors of reference groups on consumer behavior of green products: The case of Iran," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(5), pages 1294-1312, October.
    6. Farzana Quoquab & Azila Jaini & Jihad Mohammad, 2020. "Does It Matter Who Exhibits More Green Purchase Behavior of Cosmetic Products in Asian Culture? A Multi-Group Analysis Approach," IJERPH, MDPI, vol. 17(14), pages 1-20, July.
    7. Sarrias, Mauricio & Daziano, Ricardo A., 2018. "Individual-specific point and interval conditional estimates of latent class logit parameters," Journal of choice modelling, Elsevier, vol. 27(C), pages 50-61.
    8. Ricardo A. Daziano & Luis Miranda-Moreno & Shahram Heydari, 2013. "Computational Bayesian Statistics in Transportation Modeling: From Road Safety Analysis to Discrete Choice," Transport Reviews, Taylor & Francis Journals, vol. 33(5), pages 570-592, September.
    9. Rossetti, Tomás & Broaddus, Andrea & Ruhl, Melissa & Daziano, Ricardo, 2023. "Commuter preferences for a first-mile/last-mile microtransit service in the United States," Transportation Research Part A: Policy and Practice, Elsevier, vol. 167(C).
    10. Sarrias, Mauricio & Daziano, Ricardo, 2017. "Multinomial Logit Models with Continuous and Discrete Individual Heterogeneity in R: The gmnl Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 79(i02).
    11. Ossokina, Ioulia V. & Kerperien, Stephan & Arentze, Theo A., 2021. "Does information encourage or discourage tenants to accept energy retrofitting of homes?," Energy Economics, Elsevier, vol. 103(C).
    12. 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.
    13. Daziano, Ricardo A., 2015. "Inference on mode preferences, vehicle purchases, and the energy paradox using a Bayesian structural choice model," Transportation Research Part B: Methodological, Elsevier, vol. 76(C), pages 1-26.
    14. Sicsic, Jonathan & Krucien, Nicolas & Franc, Carine, 2016. "What are GPs' preferences for financial and non-financial incentives in cancer screening? Evidence for breast, cervical, and colorectal cancers," Social Science & Medicine, Elsevier, vol. 167(C), pages 116-127.

  3. Daziano, Ricardo A. & Achtnicht, Martin, 2012. "Forecasting adoption of ultra-low-emission vehicles using the GHK simulator and Bayes estimates of a multinomial probit model," ZEW Discussion Papers 12-017, ZEW - Leibniz Centre for European Economic Research.

    Cited by:

    1. Tovar Reaños, Miguel Angel & Sommerfeld, Katrin, 2016. "Fuel for inequality: Distributional effects of environmental reforms on private transport," ZEW Discussion Papers 16-090, ZEW - Leibniz Centre for European Economic Research.
    2. Iogansen, Xiatian & Wang, Kailai & Bunch, David & Matson, Grant & Circella, Giovanni, 2023. "Deciphering the factors associated with adoption of alternative fuel vehicles in California: An investigation of latent attitudes, socio-demographics, and neighborhood effects," Transportation Research Part A: Policy and Practice, Elsevier, vol. 168(C).
    3. Rudolph, Christian, 2016. "How may incentives for electric cars affect purchase decisions?," Transport Policy, Elsevier, vol. 52(C), pages 113-120.
    4. Hackbarth, André & Madlener, Reinhard, 2011. "Consumer Preferences for Alternative Fuel Vehicles: A Discrete Choice Analysis," FCN Working Papers 20/2011, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    5. Hackbarth, André & Madlener, Reinhard, 2016. "Willingness-to-pay for alternative fuel vehicle characteristics: A stated choice study for Germany," Transportation Research Part A: Policy and Practice, Elsevier, vol. 85(C), pages 89-111.

  4. Philippe Barla & Nathanaël Lapierre & Ricardo Alvarez Daziano & Markus Herrmann, 2012. "Reducing Automobile Dependency on Campus: Evaluating the Impact TDM Using Stated Preferences," Cahiers de recherche CREATE 2012-3, CREATE.

    Cited by:

    1. Lehner, Stephan & Peer, Stefanie, 2019. "The price elasticity of parking: A meta-analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 121(C), pages 177-191.
    2. Sottile, Eleonora & Giacchetti, Tommaso & Tuveri, Giovanni & Piras, Francesco & Calli, Daniele & Concas, Vittoria & Zamberlan, Leonardo & Meloni, Italo & Carrese, Stefano, 2021. "An innovative GPS smartphone based strategy for university mobility management: A case study at the University of RomaTre, Italy," Research in Transportation Economics, Elsevier, vol. 85(C).
    3. Rotaris, Lucia & Danielis, Romeo, 2014. "The impact of transportation demand management policies on commuting to college facilities: A case study at the University of Trieste, Italy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 67(C), pages 127-140.
    4. Rotaris, Lucia & Danielis, Romeo, 2015. "Commuting to college: The effectiveness and social efficiency of transportation demand management policies," Transport Policy, Elsevier, vol. 44(C), pages 158-168.
    5. Boisvert, Marie-Francis, 2014. "Using Mobile Application Data, Population Size, Accessibility, and Value Judgements in Public Transit Improvements," SS-AAEA Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 2014, pages 1-12.

Articles

  1. Bansal, Prateek & Daziano, Ricardo A. & Achtnicht, Martin, 2018. "Comparison of parametric and semiparametric representations of unobserved preference heterogeneity in logit models," Journal of choice modelling, Elsevier, vol. 27(C), pages 97-113.

    Cited by:

    1. Lang, Ghislaine & Farsi, Mehdi & Lanz, Bruno & Weber, Sylvain, 2021. "Energy efficiency and heating technology investments: Manipulating financial information in a discrete choice experiment," Resource and Energy Economics, Elsevier, vol. 64(C).
    2. Riccardo Scarpa & Cristiano Franceschinis & Mara Thiene, 2017. "A Monte Carlo Evaluation of the Logit-Mixed Logit under Asymmetry and Multimodality," Working Papers in Economics 17/23, University of Waikato.
    3. Krueger, Rico & Rashidi, Taha H. & Vij, Akshay, 2020. "A Dirichlet process mixture model of discrete choice: Comparisons and a case study on preferences for shared automated vehicles," Journal of choice modelling, Elsevier, vol. 36(C).
    4. Patrick Bigler & Doina Maria Radulescu, 2022. "Environmental, Redistributive and Revenue Effects of Policies Promoting Fuel Efficient and Electric Vehicles," CESifo Working Paper Series 9645, CESifo.
    5. 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.
    6. Bansal, Prateek & Hurtubia, Ricardo & Tirachini, Alejandro & Daziano, Ricardo A., 2019. "Flexible estimates of heterogeneity in crowding valuation in the New York City subway," Journal of choice modelling, Elsevier, vol. 31(C), pages 124-140.
    7. Sergio Colombo & Wiktor Budziński & Mikołaj Czajkowski & Klaus Glenk, 2020. "Ex-ante and ex-post measures to mitigate hypothetical bias. Are they alternative or complementary tools to increase the reliability and validity of DCE estimates?," Working Papers 2020-20, Faculty of Economic Sciences, University of Warsaw.
    8. Riccardo Scarpa & Cristiano Franceschinis & Mara Thiene, 2021. "Logit Mixed Logit Under Asymmetry and Multimodality of WTP: A Monte Carlo Evaluation," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(2), pages 643-662, March.
    9. Rico Krueger & Taha H. Rashidi & Akshay Vij, 2019. "Semi-Parametric Hierarchical Bayes Estimates of New Yorkers' Willingness to Pay for Features of Shared Automated Vehicle Services," Papers 1907.09639, arXiv.org.
    10. Bansal, Prateek & Daziano, Ricardo A & Guerra, Erick, 2018. "Minorization-Maximization (MM) algorithms for semiparametric logit models: Bottlenecks, extensions, and comparisons," Transportation Research Part B: Methodological, Elsevier, vol. 115(C), pages 17-40.

  2. Bansal, Prateek & Daziano, Ricardo A. & Achtnicht, Martin, 2018. "Extending the logit-mixed logit model for a combination of random and fixed parameters," Journal of choice modelling, Elsevier, vol. 27(C), pages 88-96.

    Cited by:

    1. Dubey, Subodh & Bansal, Prateek & Daziano, Ricardo A. & Guerra, Erick, 2020. "A Generalized Continuous-Multinomial Response Model with a t-distributed Error Kernel," Transportation Research Part B: Methodological, Elsevier, vol. 133(C), pages 114-141.
    2. Lang, Ghislaine & Farsi, Mehdi & Lanz, Bruno & Weber, Sylvain, 2021. "Energy efficiency and heating technology investments: Manipulating financial information in a discrete choice experiment," Resource and Energy Economics, Elsevier, vol. 64(C).
    3. Akshay Vij & Rico Krueger, 2018. "Random taste heterogeneity in discrete choice models: Flexible nonparametric finite mixture distributions," Papers 1802.02299, arXiv.org.
    4. Tinessa, Fiore & Marzano, Vittorio & Papola, Andrea, 2020. "Mixing distributions of tastes with a Combination of Nested Logit (CoNL) kernel: Formulation and performance analysis," Transportation Research Part B: Methodological, Elsevier, vol. 141(C), pages 1-23.
    5. Bansal, Prateek & Daziano, Ricardo A. & Achtnicht, Martin, 2018. "Comparison of parametric and semiparametric representations of unobserved preference heterogeneity in logit models," Journal of choice modelling, Elsevier, vol. 27(C), pages 97-113.
    6. Renato Perez Loyola & Erda Wang & Nannan Kang, 2021. "Economic valuation of recreational attributes using a choice experiment approach: An application to the Galapagos Islands," Tourism Economics, , vol. 27(1), pages 86-104, February.
    7. Bansal, Prateek & Hurtubia, Ricardo & Tirachini, Alejandro & Daziano, Ricardo A., 2019. "Flexible estimates of heterogeneity in crowding valuation in the New York City subway," Journal of choice modelling, Elsevier, vol. 31(C), pages 124-140.
    8. Bansal, Prateek & Krueger, Rico & Bierlaire, Michel & Daziano, Ricardo A. & Rashidi, Taha H., 2020. "Bayesian estimation of mixed multinomial logit models: Advances and simulation-based evaluations," Transportation Research Part B: Methodological, Elsevier, vol. 131(C), pages 124-142.
    9. Sergio Colombo & Wiktor Budziński & Mikołaj Czajkowski & Klaus Glenk, 2020. "Ex-ante and ex-post measures to mitigate hypothetical bias. Are they alternative or complementary tools to increase the reliability and validity of DCE estimates?," Working Papers 2020-20, Faculty of Economic Sciences, University of Warsaw.
    10. Daziano, Ricardo A., 2020. "Flexible customer willingness to pay for bundled smart home energy products and services," Resource and Energy Economics, Elsevier, vol. 61(C).
    11. Riccardo Scarpa & Cristiano Franceschinis & Mara Thiene, 2021. "Logit Mixed Logit Under Asymmetry and Multimodality of WTP: A Monte Carlo Evaluation," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(2), pages 643-662, March.
    12. Bansal, Prateek & Daziano, Ricardo A & Guerra, Erick, 2018. "Minorization-Maximization (MM) algorithms for semiparametric logit models: Bottlenecks, extensions, and comparisons," Transportation Research Part B: Methodological, Elsevier, vol. 115(C), pages 17-40.
    13. I. G. Ukpong & K. G. Balcombe & I. M. Fraser & F. J. Areal, 2019. "Preferences for Mitigation of the Negative Impacts of the Oil and Gas Industry in the Niger Delta Region of Nigeria," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(2), pages 811-843, October.
    14. Prateek Bansal & Rico Krueger & Michel Bierlaire & Ricardo A. Daziano & Taha H. Rashidi, 2019. "Bayesian Estimation of Mixed Multinomial Logit Models: Advances and Simulation-Based Evaluations," Papers 1904.03647, arXiv.org, revised Dec 2019.
    15. Mallikarjun Patil & Bandhan Bandhu Majumdar & Prasanta Kumar Sahu & Long T. Truong, 2021. "Evaluation of Prospective Users’ Choice Decision toward Electric Two-Wheelers Using a Stated Preference Survey: An Indian Perspective," Sustainability, MDPI, vol. 13(6), pages 1-22, March.
    16. Subodh Dubey & Prateek Bansal & Ricardo A. Daziano & Erick Guerra, 2019. "A Generalized Continuous-Multinomial Response Model with a t-distributed Error Kernel," Papers 1904.08332, arXiv.org, revised Jan 2020.

  3. Sarrias, Mauricio & Daziano, Ricardo A., 2018. "Individual-specific point and interval conditional estimates of latent class logit parameters," Journal of choice modelling, Elsevier, vol. 27(C), pages 50-61.

    Cited by:

    1. 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.
    2. Lehmann, Nico & Sloot, Daniel & Ardone, Armin & Fichtner, Wolf, 2022. "Willingness to pay for regional electricity generation – A question of green values and regional product beliefs?," Energy Economics, Elsevier, vol. 110(C).
    3. Lehmann, Nico & Sloot, Daniel & Schüle, Christopher & Ardone, Armin & Fichtner, Wolf, 2023. "The motivational drivers behind consumer preferences for regional electricity – Results of a choice experiment in Southern Germany," Energy Economics, Elsevier, vol. 120(C).
    4. Masiero, Mauro & Franceschinis, Cristiano & Mattea, Stefania & Thiene, Mara & Pettenella, Davide & Scarpa, Riccardo, 2018. "Ecosystem services’ values and improved revenue collection for regional protected areas," Ecosystem Services, Elsevier, vol. 34(PA), pages 136-153.
    5. Gabriel Rodríguez-Puello & Ariel Arcos & Benjamin Jara, 2022. "Would you Value a few More Hours of work? Underemployment and Subjective Well-Being Across Chilean Workers," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 17(2), pages 885-912, April.
    6. 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.
    7. Ricardo A. Daziano, 2022. "A choice experiment assessment of stated early response to COVID-19 vaccines in the USA," Health Economics Review, Springer, vol. 12(1), pages 1-16, December.
    8. Lauren Chenarides & Carola Grebitus & Jayson L Lusk & Iryna Printezis, 2022. "A calibrated choice experiment method," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 49(5), pages 971-1004.
    9. Mauricio Sarrias, 2020. "Random Parameters and Spatial Heterogeneity using Rchoice in R," REGION, European Regional Science Association, vol. 7, pages 1-19.
    10. Sarrias, Mauricio, 2020. "Individual-specific posterior distributions from Mixed Logit models: Properties, limitations and diagnostic checks," Journal of choice modelling, Elsevier, vol. 36(C).
    11. Sarrias, Mauricio, 2021. "A two recursive equation model to correct for endogeneity in latent class binary probit models," Journal of choice modelling, Elsevier, vol. 40(C).
    12. Vásquez Lavin, Felipe & Barrientos, Manuel & Castillo, Álvaro & Herrera, Iván & Ponce Oliva, Roberto D., 2020. "Firewood certification programs: Key attributes and policy implications," Energy Policy, Elsevier, vol. 137(C).

  4. Sarrias, Mauricio & Daziano, Ricardo, 2017. "Multinomial Logit Models with Continuous and Discrete Individual Heterogeneity in R: The gmnl Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 79(i02).

    Cited by:

    1. G. Concu & C. Detotto & M. Vannini, 2023. "Drivers of intentions and drivers of actions: willingness to participate versus actual participation in fire management in Sardinia, Italy," Working Paper CRENoS 202301, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    2. Zhang, Yixue & Zhao, Pengjun & Lin, Jen-Jia, 2021. "Exploring shopping travel behavior of millennials in Beijing: Impacts of built environment, life stages, and subjective preferences," Transportation Research Part A: Policy and Practice, Elsevier, vol. 147(C), pages 49-60.
    3. West, Grant H. & Snell, Heather & Kovacs, Kent & Nayga, Rodolfo M., 2020. "Estimation of the preferences for the intertemporal services from groundwater," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304220, Agricultural and Applied Economics Association.
    4. Prateek Bansal & Roselinde Kessels & Rico Krueger & Daniel J Graham, 2021. "Face masks, vaccination rates and low crowding drive the demand for the London Underground during the COVID-19 pandemic," Papers 2107.02394, arXiv.org.
    5. Meginnis, Keila & Hanley, Nick & Mujumbusi, Lazaaro & Lamberton, Poppy H.L., 2020. "Non-monetary numeraires: Varying the payment vehicle in a choice experiment for health interventions in Uganda," Ecological Economics, Elsevier, vol. 170(C).
    6. Jeff Luckstead & Heather A. Snell & Lawton Lanier Nalley & Rodolfo M. Nayga & Joshua Sarpaning, 2022. "A multi‐country study on consumers' valuation for child‐labor‐free chocolate: Implications for child labor in cocoa production," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 44(2), pages 1021-1048, June.
    7. Wendong Zhang & Brent Sohngen, 2018. "Do US Anglers Care about Harmful Algal Blooms? A discrete choice experiment of Lake Erie recreational anglers," Center for Agricultural and Rural Development (CARD) Publications 17-wp573, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    8. Oluwagbenga Akinwehinmi & Kolawole Ogundari & Taye Timothy Amos, 2022. "Consumers’ food control risk perception and preference for food safety certification in emerging food markets," Journal of Agricultural Economics, Wiley Blackwell, vol. 73(3), pages 690-708, September.
    9. Seojeong Oh & Benjamin M. Gramig, 2023. "Valuing Ecosystem Services and Downstream Water Quality Improvement in the U.S. Corn Belt," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 85(3), pages 823-872, August.
    10. Akinwehinmi, Oluwagbenga & Ogundari, Kolawole & Amos, Taiwo, 2021. "Consumers' Food Control Risk Perception and Preference for Government-Controlled Safety Certification in Emerging Food Markets," 2021 Conference, August 17-31, 2021, Virtual 315312, International Association of Agricultural Economists.
    11. Sandberg Hanssen, Thor-Erik & Larsen, Berner, 2020. "The influence of waiting time on the value of headway time on a ferry service in Norway," Research in Transportation Economics, Elsevier, vol. 82(C).
    12. Anders Dugstad & Kristine Grimsrud & Gorm Kipperberg & Henrik Lindhjem & Ståle Navrud, 2020. "Acceptance of national wind power development and exposure. A case-control choice experiment approach," Discussion Papers 933, Statistics Norway, Research Department.
    13. Muhammad Safdar & Arshad Jamal & Hassan M. Al-Ahmadi & Muhammad Tauhidur Rahman & Meshal Almoshaogeh, 2022. "Analysis of the Influential Factors towards Adoption of Car-Sharing: A Case Study of a Megacity in a Developing Country," Sustainability, MDPI, vol. 14(5), pages 1-25, February.
    14. Bansal, Prateek & Daziano, Ricardo A. & Achtnicht, Martin, 2018. "Comparison of parametric and semiparametric representations of unobserved preference heterogeneity in logit models," Journal of choice modelling, Elsevier, vol. 27(C), pages 97-113.
    15. Wen, Cheng & Lovett, Jon C. & Kwayu, Emmanuel J. & Msigwa, Consalva, 2023. "Off-grid households’ preferences for electricity services: Policy implications for mini-grid deployment in rural Tanzania," Energy Policy, Elsevier, vol. 172(C).
    16. Fruth, Erik & Kvistad, Michele & Marshall, Joe & Pfeifer, Lena & Rau, Luisa & Sagebiel, Julian & Soto, Daniel & Tarpey, John & Weir, Jessica & Winiarski, Bradyn, 2019. "Economic valuation of street-level urban greening: A case study from an evolving mixed-use area in Berlin," Land Use Policy, Elsevier, vol. 89(C).
    17. 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).
    18. 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.
    19. 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).
    20. Aizaki, Hideo & Fogarty, James, 2019. "An R package and tutorial for case 2 best–worst scaling," Journal of choice modelling, Elsevier, vol. 32(C), pages 1-1.
    21. D. Fang & R. M. Nayga & H. A. Snell & G. H. West & C. Bazzani, 2019. "Evaluating USA’s New Nutrition and Supplement Facts Label: Evidence from a Non-hypothetical Choice Experiment," Journal of Consumer Policy, Springer, vol. 42(4), pages 545-562, December.
    22. Wang, Chen & Sun, Jiayi & Russell, Roddy & Daziano, Ricardo A., 2018. "Analyzing willingness to improve the resilience of New York City's transportation system," Transport Policy, Elsevier, vol. 69(C), pages 10-19.
    23. Gabriel Rodríguez-Puello & Ariel Arcos & Benjamin Jara, 2022. "Would you Value a few More Hours of work? Underemployment and Subjective Well-Being Across Chilean Workers," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 17(2), pages 885-912, April.
    24. Yilin Zou & Alexia Stock & Rachel Davidson & Linda Nozick & Joseph Trainor & Jamie Kruse, 2020. "Perceived attributes of hurricane-related retrofits and their effect on household adoption," 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. 104(1), pages 201-224, October.
    25. Jeff Luckstead & Rodolfo M. Nayga & Heather A. Snell, 2023. "US domestic workers' willingness to accept agricultural field jobs," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 45(3), pages 1693-1715, September.
    26. 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.
    27. Chakraborty, Rahul & Chakravarty, Sujoy, 2023. "Factors affecting acceptance of electric two-wheelers in India: A discrete choice survey," Transport Policy, Elsevier, vol. 132(C), pages 27-41.
    28. Bansal, Prateek & Hurtubia, Ricardo & Tirachini, Alejandro & Daziano, Ricardo A., 2019. "Flexible estimates of heterogeneity in crowding valuation in the New York City subway," Journal of choice modelling, Elsevier, vol. 31(C), pages 124-140.
    29. Arif Yustian Maulana Noor & Hery Toiba & Budi Setiawan & Abdul Wahib Muhaimin & Adhitya Marendra Kiloes, 2022. "The application of choice experiments in a study on consumer preference for agri-food products: A literature review," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 68(5), pages 189-197.
    30. Misal, Haleema & Varela, Elsa & Voulgarakis, Apostolos & Rovithakis, Anastasios & Grillakis, Manolis & Kountouris, Yiannis, 2023. "Assessing public preferences for a wildfire mitigation policy in Crete, Greece," Forest Policy and Economics, Elsevier, vol. 153(C).
    31. Vincenzina Caputo, 2020. "Does information on food safety affect consumers' acceptance of new food technologies? The case of irradiated beef in South Korea under a new labelling system and across different information regimes," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(4), pages 1003-1033, October.
    32. Adloff, Susann & Rehdanz, Katrin, 2023. "Wait and see? Public preferences for the temporal effectiveness of coastal protection," Ecological Economics, Elsevier, vol. 204(PA).
    33. 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).
    34. McQueen, Michael & Clifton, Kelly J., 2022. "Assessing the perception of E-scooters as a practical and equitable first-mile/last-mile solution," Transportation Research Part A: Policy and Practice, Elsevier, vol. 165(C), pages 395-418.
    35. Sarrias, Mauricio & Daziano, Ricardo A., 2018. "Individual-specific point and interval conditional estimates of latent class logit parameters," Journal of choice modelling, Elsevier, vol. 27(C), pages 50-61.
    36. Bansal, Prateek & Daziano, Ricardo A. & Achtnicht, Martin, 2018. "Extending the logit-mixed logit model for a combination of random and fixed parameters," Journal of choice modelling, Elsevier, vol. 27(C), pages 88-96.
    37. Bansal, Prateek & Kessels, Roselinde & Krueger, Rico & Graham, Daniel J., 2022. "Preferences for using the London Underground during the COVID-19 pandemic," Transportation Research Part A: Policy and Practice, Elsevier, vol. 160(C), pages 45-60.
    38. Aizaki, Hideo & Fogarty, James, 2023. "R packages and tutorial for case 1 best–worst scaling," Journal of choice modelling, Elsevier, vol. 46(C).
    39. Kitano, Shinichi & Yamamoto, Naotoshi, 2021. "Prosocial fish consumption and implications for labeling policy," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 90(C).
    40. Xiang Wu & Bin Hu & Jie Xiong, 2020. "Understanding Heterogeneous Consumer Preferences in Chinese Milk Markets: A Latent Class Approach," Post-Print hal-02489646, HAL.
    41. Lingjuan Chen & Yijing Zhao & Zupeng Liu & Xinran Yang, 2022. "Construction of Commuters’ Multi-Mode Choice Model Based on Public Transport Operation Data," Sustainability, MDPI, vol. 14(22), pages 1-20, November.
    42. Will, Christian & Lehmann, Nico & Baumgartner, Nora & Feurer, Sven & Jochem, Patrick & Fichtner, Wolf, 2022. "Consumer understanding and evaluation of carbon-neutral electric vehicle charging services," Applied Energy, Elsevier, vol. 313(C).
    43. Nguyen, Manh-Hung & Nguyen, Thi Lan Anh & Nguyen, Tuan & Reynaud, Arnaud & Simioni, Michel & Hoang, Viet-Ngu, 2021. "Economic analysis of choices among differing measures to manage coastal erosion in Hoi An (a UNESCO World Heritage Site)," Economic Analysis and Policy, Elsevier, vol. 70(C), pages 529-543.
    44. Sarrias, Mauricio, 2020. "Individual-specific posterior distributions from Mixed Logit models: Properties, limitations and diagnostic checks," Journal of choice modelling, Elsevier, vol. 36(C).
    45. Cristóbal De La Maza & Alex Davis & Cleotilde Gonzalez & Inês Azevedo, 2019. "Understanding Cumulative Risk Perception from Judgments and Choices: An Application to Flood Risks," Risk Analysis, John Wiley & Sons, vol. 39(2), pages 488-504, February.
    46. Liu, Zhaoyang & Hanley, Nick & Campbell, Danny, 2020. "Linking urban air pollution with residents’ willingness to pay for greenspace: A choice experiment study in Beijing," Journal of Environmental Economics and Management, Elsevier, vol. 104(C).
    47. Tommi Tervonen & Pareen Vora & Jaein Seo & Nicolas Krucien & Kevin Marsh & Raffaele De Caterina & Ulrike Wissinger & Montse Soriano Gabarró, 2021. "Patient Preferences of Low-Dose Aspirin for Cardiovascular Disease and Colorectal Cancer Prevention in Italy: A Latent Class Analysis," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 14(5), pages 661-672, September.
    48. Van Asselt, Joanna & Nian, Yefan & Soh, Moonwon & Morgan, Stephen & Gao, Zhifeng, 2022. "Do plastic warning labels reduce consumers' willingness to pay for plastic egg packaging? – Evidence from a choice experiment," Ecological Economics, Elsevier, vol. 198(C).
    49. Ranjan Kumar Ghosh & Shweta Gupta & Vartika Singh & Patrick S. Ward, 2021. "Demand for Crop Insurance in Developing Countries: New Evidence from India," Journal of Agricultural Economics, Wiley Blackwell, vol. 72(1), pages 293-320, February.
    50. Meressa, Abrha Megos & Navrud, Stale, 2020. "Not my cup of coffee: Farmers’ preferences for coffee variety traits – Lessons for crop breeding in the age of climate change," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 9(3), December.
    51. Danaf, Mazen & Atasoy, Bilge & Ben-Akiva, Moshe, 2020. "Logit mixture with inter and intra-consumer heterogeneity and flexible mixing distributions," Journal of choice modelling, Elsevier, vol. 35(C).
    52. McFadden, Daniel, 2022. "Instability in mixed logit demand models," Journal of choice modelling, Elsevier, vol. 43(C).
    53. Stefania Troiano & Daniel Vecchiato & Francesco Marangon & Tiziano Tempesta & Federico Nassivera, 2019. "Households’ Preferences for a New ‘Climate-Friendly’ Heating System: Does Contribution to Reducing Greenhouse Gases Matter?," Energies, MDPI, vol. 12(13), pages 1-19, July.
    54. David Boto-García & Petr Mariel & José Baños Pino & Antonio Alvarez, 2022. "Tourists’ willingness to pay for holiday trip characteristics: A Discrete Choice Experiment," Tourism Economics, , vol. 28(2), pages 349-370, March.
    55. Ge, Ge & Godager, Geir, 2021. "Predicting strategic medical choices: An application of a quantal response equilibrium choice model," Journal of choice modelling, Elsevier, vol. 39(C).
    56. Akinwehinmi, Joseph Oluwagbenga & Amos, Taye Timothy & Ogundari, Kolawole, 2021. "Consumer preferences for organic vegetables in southwestern Nigeria: A choice experiment approach," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 16(1), March.
    57. Ogoudélé S. Codjo & Alvaro Durand‐Morat & Grant H. West & Lawton Lanier Nalley & Rodolfo M. Nayga & Eric J. Wailes, 2021. "Estimating demand elasticities for rice in Benin," Agricultural Economics, International Association of Agricultural Economists, vol. 52(2), pages 343-361, March.
    58. Schaak, Henning & Musshoff, Oliver, 2020. "Public preferences for pasture landscapes in Germany—A latent class analysis of a nationwide discrete choice experiment," Land Use Policy, Elsevier, vol. 91(C).
    59. Aravindakshan, Sreejith & Krupnik, Timothy J. & Amjath-Babu, T.S. & Speelman, Stijn & Tur-Cardona, Juan & Tittonell, Pablo & Groot, Jeroen C.J., 2021. "Quantifying farmers' preferences for cropping systems intensification: A choice experiment approach applied in coastal Bangladesh's risk prone farming systems," Agricultural Systems, Elsevier, vol. 189(C).
    60. Solomon Zena Walelign & Martin Reinhardt Nielsen & Jette Bredahl Jacobsen, 2019. "Roads and livelihood activity choices in the Greater Serengeti Ecosystem, Tanzania," PLOS ONE, Public Library of Science, vol. 14(3), pages 1-21, March.
    61. Schaak, Henning & Mußhoff, Oliver, 2018. "Public preferences for pasture landscapes and the role of scale heterogeneity," FORLand Working Papers 04 (2018), Humboldt University Berlin, DFG Research Unit 2569 FORLand "Agricultural Land Markets – Efficiency and Regulation".
    62. Amelia E. Street & Deborah J. Street & Gordon M. Flynn, 2021. "Who Gets the Last Bed? A Discrete-Choice Experiment Examining General Population Preferences for Intensive Care Bed Prioritization in a Pandemic," Medical Decision Making, , vol. 41(4), pages 408-418, May.
    63. Jacobsen, Kim S. & Sandorf, Erlend Dancke & Loveridge, Andrew J. & Dickman, Amy J. & Johnson, Paul J. & Mourato, Susana & Contu, Davide & Macdonald, David W., 2022. "What is a lion worth to local people – Quantifying of the costs of living alongside a top predator," Ecological Economics, Elsevier, vol. 198(C).
    64. Maaya, Leonard & Meulders, Michel & Vandebroek, Martina, 2021. "Joint analysis of preferences and drop out data in discrete choice experiments," Journal of choice modelling, Elsevier, vol. 41(C).
    65. Markus Glatt & Roy Brouwer & Ivana Logar, 2019. "Combining Risk Attitudes in a Lottery Game and Flood Risk Protection Decisions in a Discrete Choice Experiment," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(4), pages 1533-1562, December.
    66. Aaron M. Shew & Heather A. Snell & Rodolfo M. Nayga & Mary C. Lacity, 2022. "Consumer valuation of blockchain traceability for beef in the United States," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 44(1), pages 299-323, March.
    67. Bondemark, Anders & Andersson, Henrik & Brundell-Freij, Karin, 2022. "Public preferences for distribution in the context of transport investments," Transportation Research Part A: Policy and Practice, Elsevier, vol. 157(C), pages 160-184.
    68. Di Fang & Rodolfo M. Nayga & Grant H. West & Claudia Bazzani & Wei Yang & Benjamin C. Lok & Charles E. Levy & Heather A. Snell, 2021. "On the Use of Virtual Reality in Mitigating Hypothetical Bias in Choice Experiments," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(1), pages 142-161, January.

  5. Patil, Priyadarshan N. & Dubey, Subodh K. & Pinjari, Abdul R. & Cherchi, Elisabetta & Daziano, Ricardo & Bhat, Chandra R., 2017. "Simulation evaluation of emerging estimation techniques for multinomial probit models," Journal of choice modelling, Elsevier, vol. 23(C), pages 9-20.

    Cited by:

    1. Dubey, Subodh & Bansal, Prateek & Daziano, Ricardo A. & Guerra, Erick, 2020. "A Generalized Continuous-Multinomial Response Model with a t-distributed Error Kernel," Transportation Research Part B: Methodological, Elsevier, vol. 133(C), pages 114-141.
    2. Paleti, Rajesh, 2018. "Generalized multinomial probit Model: Accommodating constrained random parameters," Transportation Research Part B: Methodological, Elsevier, vol. 118(C), pages 248-262.
    3. Prateek Bansal & Vahid Keshavarzzadeh & Angelo Guevara & Shanjun Li & Ricardo A Daziano, 2022. "Designed quadrature to approximate integrals in maximum simulated likelihood estimation [Evaluating simulation-based approaches and multivariate quadrature on sparse grids in estimating multivariat," The Econometrics Journal, Royal Economic Society, vol. 25(2), pages 301-321.
    4. Batram, Manuel & Bauer, Dietmar, 2019. "On consistency of the MACML approach to discrete choice modelling," Journal of choice modelling, Elsevier, vol. 30(C), pages 1-16.
    5. Blake, Miranda R. & Dubey, Subodh & Swait, Joffre & Lancsar, Emily & Ghijben, Peter, 2020. "An integrated modelling approach examining the influence of goals, habit and learning on choice using visual attention data," Journal of Business Research, Elsevier, vol. 117(C), pages 44-57.
    6. Tinessa, Fiore & Marzano, Vittorio & Papola, Andrea, 2020. "Mixing distributions of tastes with a Combination of Nested Logit (CoNL) kernel: Formulation and performance analysis," Transportation Research Part B: Methodological, Elsevier, vol. 141(C), pages 1-23.
    7. Bhat, Chandra R. & Mondal, Aupal, 2022. "A New Flexible Generalized Heterogeneous Data Model (GHDM) with an Application to Examine the Effect of High Density Neighborhood Living on Bicycling Frequency," Transportation Research Part B: Methodological, Elsevier, vol. 164(C), pages 244-266.
    8. Bansal, Prateek & Krueger, Rico & Bierlaire, Michel & Daziano, Ricardo A. & Rashidi, Taha H., 2020. "Bayesian estimation of mixed multinomial logit models: Advances and simulation-based evaluations," Transportation Research Part B: Methodological, Elsevier, vol. 131(C), pages 124-142.
    9. Kerem Tuzcuoglu, 2019. "Composite Likelihood Estimation of an Autoregressive Panel Probit Model with Random Effects," Staff Working Papers 19-16, Bank of Canada.
    10. Rodrigues, Filipe, 2022. "Scaling Bayesian inference of mixed multinomial logit models to large datasets," Transportation Research Part B: Methodological, Elsevier, vol. 158(C), pages 1-17.
    11. Ke Wang & Xin Ye, 2021. "Development of alternative stochastic frontier models for estimating time-space prism vertices," Transportation, Springer, vol. 48(2), pages 773-807, April.
    12. Stéphanie Souche, 2023. "Which transport modes do people use for travelling to coworking spaces (CWSs)?," Post-Print halshs-04010016, HAL.
    13. Ke Wang & Chandra R. Bhat & Xin Ye, 2023. "A multinomial probit analysis of shanghai commute mode choice," Transportation, Springer, vol. 50(4), pages 1471-1495, August.
    14. Tinessa, Fiore, 2021. "Closed-form random utility models with mixture distributions of random utilities: Exploring finite mixtures of qGEV models," Transportation Research Part B: Methodological, Elsevier, vol. 146(C), pages 262-288.
    15. Prateek Bansal & Rico Krueger & Michel Bierlaire & Ricardo A. Daziano & Taha H. Rashidi, 2019. "Bayesian Estimation of Mixed Multinomial Logit Models: Advances and Simulation-Based Evaluations," Papers 1904.03647, arXiv.org, revised Dec 2019.
    16. Bhat, Chandra R., 2018. "New matrix-based methods for the analytic evaluation of the multivariate cumulative normal distribution function," Transportation Research Part B: Methodological, Elsevier, vol. 109(C), pages 238-256.
    17. Becker, Felix & Danaf, Mazen & Song, Xiang & Atasoy, Bilge & Ben-Akiva, Moshe, 2018. "Bayesian estimator for Logit Mixtures with inter- and intra-consumer heterogeneity," Transportation Research Part B: Methodological, Elsevier, vol. 117(PA), pages 1-17.
    18. Subodh Dubey & Prateek Bansal & Ricardo A. Daziano & Erick Guerra, 2019. "A Generalized Continuous-Multinomial Response Model with a t-distributed Error Kernel," Papers 1904.08332, arXiv.org, revised Jan 2020.

  6. Laura N. Rickard & Z. Janet Yang & Jonathon P. Schuldt & Gina M. Eosco & Clifford W. Scherer & Ricardo A. Daziano, 2017. "Sizing Up a Superstorm: Exploring the Role of Recalled Experience and Attribution of Responsibility in Judgments of Future Hurricane Risk," Risk Analysis, John Wiley & Sons, vol. 37(12), pages 2334-2349, December.

    Cited by:

    1. Kate R. Smith & Silvia Grant & Robert E. Thomas, 2022. "Testing the public’s response to receiving severe flood warnings using simulated cell broadcast," 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(2), pages 1611-1631, June.
    2. Julie L. Demuth, 2018. "Explicating Experience: Development of a Valid Scale of Past Hazard Experience for Tornadoes," Risk Analysis, John Wiley & Sons, vol. 38(9), pages 1921-1943, September.
    3. Ante Ivčević & Isabel Estrela Rego & Rui Gaspar & Vania Statzu, 2021. "Telluric and Climate-Related Risk Awareness, and Risk Mitigation Strategies in the Azores Archipelago: First Steps for Building Societal Resilience," Sustainability, MDPI, vol. 13(15), pages 1-11, August.
    4. Dominic Balog‐Way & Katherine McComas & John Besley, 2020. "The Evolving Field of Risk Communication," Risk Analysis, John Wiley & Sons, vol. 40(S1), pages 2240-2262, November.
    5. Nicolás Bronfman & Paula Repetto & Paola Cordón & Javiera Castañeda & Pamela Cisternas, 2021. "Gender Differences on Psychosocial Factors Affecting COVID-19 Preventive Behaviors," Sustainability, MDPI, vol. 13(11), pages 1-12, May.

  7. Tirachini, Alejandro & Hurtubia, Ricardo & Dekker, Thijs & Daziano, Ricardo A., 2017. "Estimation of crowding discomfort in public transport: Results from Santiago de Chile," Transportation Research Part A: Policy and Practice, Elsevier, vol. 103(C), pages 311-326.

    Cited by:

    1. Tiznado-Aitken, Ignacio & Muñoz, Juan Carlos & Hurtubia, Ricardo, 2021. "Public transport accessibility accounting for level of service and competition for urban opportunities: An equity analysis for education in Santiago de Chile," Journal of Transport Geography, Elsevier, vol. 90(C).
    2. 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.
    3. Varghese, Varun & Moniruzzaman, Md. & Chikaraishi, Makoto, 2023. "Environmental sustainability or equity in welfare? Analysing passenger flows of a mass rapid transit system with heterogeneous demand," Research in Transportation Economics, Elsevier, vol. 97(C).
    4. Hörcher, Daniel & Tirachini, Alejandro, 2021. "A review of public transport economics," Economics of Transportation, Elsevier, vol. 25(C).
    5. Aghabayk, Kayvan & Esmailpour, Javad & Shiwakoti, Nirajan, 2021. "Effects of COVID-19 on rail passengers’ crowding perceptions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 154(C), pages 186-202.
    6. Arbex, Renato & Cunha, Claudio B., 2020. "Estimating the influence of crowding and travel time variability on accessibility to jobs in a large public transport network using smart card big data," Journal of Transport Geography, Elsevier, vol. 85(C).
    7. Kim, Sung Hoo & Mokhtarian, Patricia L., 2023. "Finite mixture (or latent class) modeling in transportation: Trends, usage, potential, and future directions," Transportation Research Part B: Methodological, Elsevier, vol. 172(C), pages 134-173.
    8. Anne Halvorsen & Haris N. Koutsopoulos & Zhenliang Ma & Jinhua Zhao, 2020. "Demand management of congested public transport systems: a conceptual framework and application using smart card data," Transportation, Springer, vol. 47(5), pages 2337-2365, October.
    9. Prateek Bansal & Daniel Horcher & Daniel J. Graham, 2020. "A Dynamic Choice Model with Heterogeneous Decision Rules: Application in Estimating the User Cost of Rail Crowding," Papers 2007.03682, arXiv.org.
    10. Lin, Joanne Yuh-Jye & Jenelius, Erik & Cebecauer, Matej & Rubensson, Isak & Chen, Cynthia, 2023. "The equity of public transport crowding exposure," Journal of Transport Geography, Elsevier, vol. 110(C).
    11. Tirachini, Alejandro & Proost, Stef, 2021. "Transport taxes and subsidies in developing countries: The effect of income inequality aversion," Economics of Transportation, Elsevier, vol. 25(C).
    12. Liu, Yang & Feng, Tao & Shi, Zhuangbin & He, Mingwei, 2022. "Understanding the route choice behaviour of metro-bikeshare users," Transportation Research Part A: Policy and Practice, Elsevier, vol. 166(C), pages 460-475.
    13. Bansal, Prateek & Hurtubia, Ricardo & Tirachini, Alejandro & Daziano, Ricardo A., 2019. "Flexible estimates of heterogeneity in crowding valuation in the New York City subway," Journal of choice modelling, Elsevier, vol. 31(C), pages 124-140.
    14. Yu, Chao & Li, Haiying & Xu, Xinyue & Liu, Jun, 2020. "Data-driven approach for solving the route choice problem with traveling backward behavior in congested metro systems," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 142(C).
    15. Wang, Bin & Zacharias, John, 2020. "Noise, odor and passenger density in perceived crowding in public transport," Transportation Research Part A: Policy and Practice, Elsevier, vol. 135(C), pages 215-223.
    16. Guevara, C. Angelo & Tirachini, Alejandro & Hurtubia, Ricardo & Dekker, Thijs, 2020. "Correcting for endogeneity due to omitted crowding in public transport choice using the Multiple Indicator Solution (MIS) method," Transportation Research Part A: Policy and Practice, Elsevier, vol. 137(C), pages 472-484.
    17. Basnak, Paul & Giesen, Ricardo & Muñoz, Juan Carlos, 2022. "Estimation of crowding factors for public transport during the COVID-19 pandemic in Santiago, Chile," Transportation Research Part A: Policy and Practice, Elsevier, vol. 159(C), pages 140-156.
    18. Jenelius, Erik, 2018. "Public transport experienced service reliability: Integrating travel time and travel conditions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 117(C), pages 275-291.
    19. Basso, Leonardo J. & Montero, Juan-Pablo & Sepúlveda, Felipe, 2021. "A practical approach for curbing congestion and air pollution: Driving restrictions with toll and vintage exemptions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 148(C), pages 330-352.
    20. Junya Kumagai & Mihoko Wakamatsu & Shunsuke Managi, 2021. "Do commuters adapt to in-vehicle crowding on trains?," Transportation, Springer, vol. 48(5), pages 2357-2399, October.
    21. Menno Yap & Oded Cats, 2021. "Predicting disruptions and their passenger delay impacts for public transport stops," Transportation, Springer, vol. 48(4), pages 1703-1731, August.
    22. Yap, Menno & Cats, Oded, 2021. "Taking the path less travelled: Valuation of denied boarding in crowded public transport systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 147(C), pages 1-13.
    23. Rossetti, Tomás & Broaddus, Andrea & Ruhl, Melissa & Daziano, Ricardo, 2023. "Commuter preferences for a first-mile/last-mile microtransit service in the United States," Transportation Research Part A: Policy and Practice, Elsevier, vol. 167(C).
    24. Zhang, Junlin & Yang, Hai & Lindsey, Robin & Li, Xinwei, 2020. "Modeling and managing congested transit service with heterogeneous users under monopoly," Transportation Research Part B: Methodological, Elsevier, vol. 132(C), pages 249-266.
    25. Rossetti, Tomás & Hurtubia, Ricardo, 2020. "An assessment of the ecological validity of immersive videos in stated preference surveys," Journal of choice modelling, Elsevier, vol. 34(C).
    26. Bansal, Prateek & Kessels, Roselinde & Krueger, Rico & Graham, Daniel J., 2022. "Preferences for using the London Underground during the COVID-19 pandemic," Transportation Research Part A: Policy and Practice, Elsevier, vol. 160(C), pages 45-60.
    27. Tiznado-Aitken, Ignacio & Lucas, Karen & Muñoz, Juan Carlos & Hurtubia, Ricardo, 2020. "Understanding accessibility through public transport users' experiences: A mixed methods approach," Journal of Transport Geography, Elsevier, vol. 88(C).
    28. Arellana, J. & Garzón, L. & Estrada, J. & Cantillo, V., 2020. "On the use of virtual immersive reality for discrete choice experiments to modelling pedestrian behaviour," Journal of choice modelling, Elsevier, vol. 37(C).
    29. Basnak, Paul & Giesen, Ricardo, 2023. "Assessing free-fare public transport in Chilean cities through optimization models," Research in Transportation Economics, Elsevier, vol. 98(C).
    30. Márquez, Luis & Alfonso A, Julieth V. & Poveda, Juan C., 2019. "In-vehicle crowding: Integrating tangible attributes, attitudes, and perceptions in a choice context between BRT and metro," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 452-465.
    31. Soza-Parra, Jaime & Raveau, Sebastián & Muñoz, Juan Carlos & Cats, Oded, 2019. "The underlying effect of public transport reliability on users’ satisfaction," Transportation Research Part A: Policy and Practice, Elsevier, vol. 126(C), pages 83-93.
    32. Chen, Xin & Jiang, Yu & Bláfoss Ingvardson, Jesper & Luo, Xia & Anker Nielsen, Otto, 2023. "I can board, but I’d rather wait: Active boarding delay choice behaviour analysis using smart card data in metro systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 174(C).
    33. Rossetti, Tomás & Yoon, So-Yeon & Daziano, Ricardo A., 2022. "Social distancing and store choice in times of a pandemic," Journal of Retailing and Consumer Services, Elsevier, vol. 65(C).

  8. Chiew, Esther & Daziano, Ricardo A. & Garrow, Laurie A., 2017. "Bayesian estimation of hazard models of airline passengers’ cancellation behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 96(C), pages 154-167.

    Cited by:

    1. Stacey Mumbower & Susan Hotle & Laurie A. Garrow, 2023. "Highly debated but still unbundled: The evolution of U.S. airline ancillary products and pricing strategies," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 22(4), pages 276-293, August.
    2. Fukushi, Mitsuyoshi & Delgado, Felipe & Raveau, Sebastián & Santos, Bruno F., 2022. "CHAIRS: A choice-based air transport simulator applied to airline competition and revenue management," Transportation Research Part A: Policy and Practice, Elsevier, vol. 155(C), pages 297-315.

  9. Begoña Muñoz & Andres Monzon & Ricardo A. Daziano, 2016. "The Increasing Role of Latent Variables in Modelling Bicycle Mode Choice," Transport Reviews, Taylor & Francis Journals, vol. 36(6), pages 737-771, November.

    Cited by:

    1. Lucas Javaudin & Andrea Araldo & Andr'e de Palma, 2023. "Personalised incentives with constrained regulator's budget," Papers 2311.14417, arXiv.org.
    2. Mahdi Rashidi & Seyed-Mohammad Seyedhosseini & Ali Naderan, 2023. "Defining Psychological Factors of Cycling in Tehran City," Sustainability, MDPI, vol. 15(4), pages 1-17, February.
    3. Lucas Javaudin & Andre de Palma & Andrea Araldo, 2022. "Large-scale allocation of personalized incentives," Post-Print hal-03839571, HAL.
    4. Liu, Chengxi & Tapani, Andreas & Kristoffersson, Ida & Rydergren, Clas & Jonsson, Daniel, 2020. "Development of a large-scale transport model with focus on cycling," Transportation Research Part A: Policy and Practice, Elsevier, vol. 134(C), pages 164-183.
    5. Mohammad Javad Kamelifar & Behzad Ranjbarnia & Houshmand Masoumi, 2022. "The Determinants of Walking Behavior before and during COVID-19 in Middle-East and North Africa: Evidence from Tabriz, Iran," Sustainability, MDPI, vol. 14(7), pages 1-20, March.
    6. Ton, Danique & Bekhor, Shlomo & Cats, Oded & Duives, Dorine C. & Hoogendoorn-Lanser, Sascha & Hoogendoorn, Serge P., 2020. "The experienced mode choice set and its determinants: Commuting trips in the Netherlands," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 744-758.
    7. Nigro, Marialisa & Castiglione, Marisdea & Maria Colasanti, Fabio & De Vincentis, Rosita & Valenti, Gaetano & Liberto, Carlo & Comi, Antonio, 2022. "Exploiting floating car data to derive the shifting potential to electric micromobility," Transportation Research Part A: Policy and Practice, Elsevier, vol. 157(C), pages 78-93.
    8. Tatiana Cantillo & Andrés Vargas & Víctor Cantillo & José Ramos, 2020. "What determines university student’s willingness to pay for bikeways?," Transportation, Springer, vol. 47(5), pages 2267-2286, October.
    9. Habib, Khandker Nurul & Weiss, Adam & Hasnine, Sami, 2018. "On the heterogeneity and substitution patterns in mobility tool ownership choices of post-secondary students: The case of Toronto," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 650-665.
    10. Obregón-Biosca, Saúl A., 2022. "Choice of transport in urban and periurban zones in metropolitan area," Journal of Transport Geography, Elsevier, vol. 100(C).
    11. Piras, Francesco & Sottile, Eleonora & Tuveri, Giovanni & Meloni, Italo, 2021. "Could psychosocial variables help assess pro-cycling policies?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 154(C), pages 108-128.
    12. Scorrano, Mariangela & Danielis, Romeo, 2021. "Active mobility in an Italian city: Mode choice determinants and attitudes before and during the Covid-19 emergency," Research in Transportation Economics, Elsevier, vol. 86(C).
    13. Eldeeb, Gamal & Mohamed, Moataz & Páez, Antonio, 2021. "Built for active travel? Investigating the contextual effects of the built environment on transportation mode choice," Journal of Transport Geography, Elsevier, vol. 96(C).
    14. Piras, Francesco & Sottile, Eleonora & Tuveri, Giovanni & Meloni, Italo, 2021. "Could there be spillover effects between recreational and utilitarian cycling? A multivariate model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 147(C), pages 297-311.

  10. Motoaki, Yutaka & Daziano, Ricardo A., 2015. "A hybrid-choice latent-class model for the analysis of the effects of weather on cycling demand," Transportation Research Part A: Policy and Practice, Elsevier, vol. 75(C), pages 217-230.

    Cited by:

    1. Biehl, Alec & Chen, Ying & Sanabria-Véaz, Karla & Uttal, David & Stathopoulos, Amanda, 2019. "Where does active travel fit within local community narratives of mobility space and place?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 123(C), pages 269-287.
    2. Li, Weibo & Kamargianni, Maria, 2018. "Providing quantified evidence to policy makers for promoting bike-sharing in heavily air-polluted cities: A mode choice model and policy simulation for Taiyuan-China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 111(C), pages 277-291.
    3. Bouscasse, H. & Bonnel, P., 2016. "Socio-psychological determinants of mode choice habits," Working Papers 2016-05, Grenoble Applied Economics Laboratory (GAEL).
    4. Faccioli, Michela & Czajkowski, Mikołaj & Glenk, Klaus & Martin-Ortega, Julia, 2020. "Environmental attitudes and place identity as determinants of preferences for ecosystem services," Ecological Economics, Elsevier, vol. 174(C).
    5. Munoz, Claudia & Laniado, Henry, 2021. "Airline choice model for international round-trip flights: The role of travelers’ satisfaction and personality traits," Research in Transportation Economics, Elsevier, vol. 90(C).
    6. 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.
    7. Tirachini, Alejandro & Hurtubia, Ricardo & Dekker, Thijs & Daziano, Ricardo A., 2017. "Estimation of crowding discomfort in public transport: Results from Santiago de Chile," Transportation Research Part A: Policy and Practice, Elsevier, vol. 103(C), pages 311-326.
    8. Tran, Yen & Yamamoto, Toshiyuki & Sato, Hitomi, 2020. "The influences of environmentalism and attitude towards physical activity on mode choice: The new evidences," Transportation Research Part A: Policy and Practice, Elsevier, vol. 134(C), pages 211-226.
    9. Jan Wessel, 2020. "Using weather forecasts to forecast whether bikes are used," Working Papers 32, Institute of Transport Economics, University of Muenster.
    10. Tomás Rossetti & Verónica Saud & Ricardo Hurtubia, 2019. "I want to ride it where I like: measuring design preferences in cycling infrastructure," Transportation, Springer, vol. 46(3), pages 697-718, June.
    11. Ji, Shujuan & Wang, Xin & Lyu, Tao & Liu, Xiaojie & Wang, Yuanqing & Heinen, Eva & Sun, Zhenwei, 2022. "Understanding cycling distance according to the prediction of the XGBoost and the interpretation of SHAP: A non-linear and interaction effect analysis," Journal of Transport Geography, Elsevier, vol. 103(C).
    12. Bernadeta Gołębiowska & Anna Bartczak & Mikołaj Czajkowski, 2020. "Energy Demand Management and Social Norms," Energies, MDPI, vol. 13(15), pages 1-20, July.
    13. Kim, Sung Hoo & Mokhtarian, Patricia L., 2023. "Finite mixture (or latent class) modeling in transportation: Trends, usage, potential, and future directions," Transportation Research Part B: Methodological, Elsevier, vol. 172(C), pages 134-173.
    14. Bean, Richard & Pojani, Dorina & Corcoran, Jonathan, 2021. "How does weather affect bikeshare use? A comparative analysis of forty cities across climate zones," Journal of Transport Geography, Elsevier, vol. 95(C).
    15. Stefan Gössling & Christoph Neger & Robert Steiger & Rainer Bell, 2023. "Weather, climate change, and transport: a review," 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. 118(2), pages 1341-1360, September.
    16. Griswold, Julia B. & Yu, Mengqiao & Filingeri, Victoria & Grembek, Offer & Walker, Joan L., 2018. "A behavioral modeling approach to bicycle level of service," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 166-177.
    17. Gustavo García-Melero & Rubén Sainz-González & Pablo Coto-Millán & Alejandra Valencia-Vásquez, 2021. "Sustainable Mobility Policy Analysis Using Hybrid Choice Models: Is It the Right Choice?," Sustainability, MDPI, vol. 13(5), pages 1-16, March.
    18. Faber, R.M. & Jonkeren, O. & de Haas, M.C. & Molin, E.J.E. & Kroesen, M., 2022. "Inferring modality styles by revealing mode choice heterogeneity in response to weather conditions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 162(C), pages 282-295.
    19. Bahamonde-Birke, Francisco J. & Ortúzar, Juan de Dios, 2017. "Analyzing the continuity of attitudinal and perceptual indicators in hybrid choice models," Journal of choice modelling, Elsevier, vol. 25(C), pages 28-39.
    20. Sunbin YOO & KUMAGAI Junya & KAWABATA Yuta & MANAGI Shunsuke, 2022. "Achieving Inclusive Transportation: Fully Automated Vehicles with Social Support," Discussion papers 22017, Research Institute of Economy, Trade and Industry (RIETI).
    21. Yoo, Sunbin & Kumagai, Junya & Kawabata, Yuta & Keeley, Alexander & Managi, Shunsuke, 2021. "Willingness to Buy and/or Pay Disparity: Evidence from Fully Autonomous Vehicles," MPRA Paper 108882, University Library of Munich, Germany.
    22. Francisco Rejón-Guardia & María Antonia García-Sastre & Margarita Alemany-Hormaeche, 2018. "Motivation-based behaviour and latent class segmentation of cycling tourists," Tourism Economics, , vol. 24(2), pages 204-217, March.
    23. Kunbo Shi & Long Cheng & Jonas De Vos & Yongchun Yang & Wanpeng Cao & Frank Witlox, 2021. "How does purchasing intangible services online influence the travel to consume these services? A focus on a Chinese context," Transportation, Springer, vol. 48(5), pages 2605-2625, October.
    24. Kim, Seheon & Rasouli, Soora, 2022. "The influence of latent lifestyle on acceptance of Mobility-as-a-Service (MaaS): A hierarchical latent variable and latent class approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 159(C), pages 304-319.
    25. Ross Higgins & Aoife Ahern, 2021. "Students’ and Parents’ Perceptions of Barriers to Cycling to School—An Analysis by Gender," Sustainability, MDPI, vol. 13(23), pages 1-16, November.
    26. Zhang, Xiang & Li, Wence, 2023. "Effects of a bike sharing system and COVID-19 on low-carbon traffic modal shift and emission reduction," Transport Policy, Elsevier, vol. 132(C), pages 42-64.
    27. Isabel P Albaladejo & M Teresa Díaz-Delfa, 2021. "The effects of motivations to go to the country on rural accommodation choice: A hybrid discrete choice model," Tourism Economics, , vol. 27(7), pages 1484-1507, November.
    28. Lorena Torres Lahoz & Francisco Camara Pereira & Georges Sfeir & Ioanna Arkoudi & Mayara Moraes Monteiro & Carlos Lima Azevedo, 2023. "Attitudes and Latent Class Choice Models using Machine learning," Papers 2302.09871, arXiv.org.
    29. Piras, Francesco & Sottile, Eleonora & Tuveri, Giovanni & Meloni, Italo, 2021. "Could psychosocial variables help assess pro-cycling policies?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 154(C), pages 108-128.
    30. Hong, Jinhyun & Philip McArthur, David & Stewart, Joanna L., 2020. "Can providing safe cycling infrastructure encourage people to cycle more when it rains? The use of crowdsourced cycling data (Strava)," Transportation Research Part A: Policy and Practice, Elsevier, vol. 133(C), pages 109-121.
    31. Biehl, Alec & Ermagun, Alireza & Stathopoulos, Amanda, 2019. "Utilizing multi-stage behavior change theory to model the process of bike share adoption," Transport Policy, Elsevier, vol. 77(C), pages 30-45.
    32. Rossetti, Tomás & Guevara, C. Angelo & Galilea, Patricia & Hurtubia, Ricardo, 2018. "Modeling safety as a perceptual latent variable to assess cycling infrastructure," Transportation Research Part A: Policy and Practice, Elsevier, vol. 111(C), pages 252-265.
    33. Nakamura, Hiroki & Uchida, Akira & Managi, Shunsuke, 2019. "Relationship between community-sharing of new personal transportation and local residents’ daily life consciousness," Economic Analysis and Policy, Elsevier, vol. 61(C), pages 104-110.
    34. Yazdanpanah, Mahdi & Hosseinlou, Mansour Hadji, 2016. "The influence of personality traits on airport public transport access mode choice: A hybrid latent class choice modeling approach," Journal of Air Transport Management, Elsevier, vol. 55(C), pages 147-163.
    35. 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.
    36. Piras, Francesco & Sottile, Eleonora & Tuveri, Giovanni & Meloni, Italo, 2021. "Could there be spillover effects between recreational and utilitarian cycling? A multivariate model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 147(C), pages 297-311.
    37. Aaditya, Bh. & Rahul, T.M., 2021. "Psychological impacts of COVID-19 pandemic on the mode choice behaviour: A hybrid choice modelling approach," Transport Policy, Elsevier, vol. 108(C), pages 47-58.
    38. Weibo Li & Maria Kamargianni, 2020. "An Integrated Choice and Latent Variable Model to Explore the Influence of Attitudinal and Perceptual Factors on Shared Mobility Choices and Their Value of Time Estimation," Transportation Science, INFORMS, vol. 54(1), pages 62-83, January.
    39. Ma, Xinwei & Zhang, Shuai & Wu, Tao & Yang, Yizhe & Yu, Jiajie, 2023. "Can dockless and docked bike-sharing substitute each other? Evidence from Nanjing, China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).
    40. Tae San Kim & Won Kyung Lee & So Young Sohn, 2019. "Graph convolutional network approach applied to predict hourly bike-sharing demands considering spatial, temporal, and global effects," PLOS ONE, Public Library of Science, vol. 14(9), pages 1-16, September.

  11. Daziano, Ricardo A., 2015. "Inference on mode preferences, vehicle purchases, and the energy paradox using a Bayesian structural choice model," Transportation Research Part B: Methodological, Elsevier, vol. 76(C), pages 1-26.

    Cited by:

    1. Vij, Akshay & Walker, Joan L., 2016. "How, when and why integrated choice and latent variable models are latently useful," Transportation Research Part B: Methodological, Elsevier, vol. 90(C), pages 192-217.
    2. Kamargianni, Maria & Dubey, Subodh & Polydoropoulou, Amalia & Bhat, Chandra, 2015. "Investigating the subjective and objective factors influencing teenagers’ school travel mode choice – An integrated choice and latent variable model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 78(C), pages 473-488.
    3. Tsionas, Efthymios & Assaf, A. George & Gillen, David & Mattila, Anna S., 2017. "Modeling technical and service efficiency," Transportation Research Part B: Methodological, Elsevier, vol. 96(C), pages 113-125.
    4. Blake, Miranda R. & Dubey, Subodh & Swait, Joffre & Lancsar, Emily & Ghijben, Peter, 2020. "An integrated modelling approach examining the influence of goals, habit and learning on choice using visual attention data," Journal of Business Research, Elsevier, vol. 117(C), pages 44-57.
    5. Enam, Annesha & Konduri, Karthik C. & Pinjari, Abdul R. & Eluru, Naveen, 2018. "An integrated choice and latent variable model for multiple discrete continuous choice kernels: Application exploring the association between day level moods and discretionary activity engagement choi," Journal of choice modelling, Elsevier, vol. 26(C), pages 80-100.
    6. Bouscasse, H., 2018. "Integrated choice and latent variable models: A literature review on mode choice," Working Papers 2018-07, Grenoble Applied Economics Laboratory (GAEL).
    7. Dubey, Subodh & Sharma, Ishant & Mishra, Sabyasachee & Cats, Oded & Bansal, Prateek, 2022. "A General Framework to Forecast the Adoption of Novel Products: A Case of Autonomous Vehicles," Transportation Research Part B: Methodological, Elsevier, vol. 165(C), pages 63-95.
    8. Hélène Bouscasse, 2018. "Integrated choice and latent variable models: A literature review on mode choice," Working Papers hal-01795630, HAL.
    9. 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.

  12. Philippe Barla & Nathanael Lapierre & Ricardo A. Daziano & Markus Herrmann, 2015. "Reducing Automobile Dependency on Campus Using Transport Demand Management: A Case Study for Quebec City," Canadian Public Policy, University of Toronto Press, vol. 41(1), pages 86-96, March.

    Cited by:

    1. Jonas De Vos & E. Owen D. Waygood & Laurence Letarte & Mengqiu Cao, 2022. "Do frequent satisfying trips by public transport impact its intended use in later life?," Transportation, Springer, vol. 49(4), pages 1245-1263, August.
    2. Collins, Patricia A. & MacFarlane, Robert, 2018. "Evaluating the determinants of switching to public transit in an automobile-oriented mid-sized Canadian city: A longitudinal analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 682-695.

  13. Chen Wang & Ricardo Daziano, 2015. "On the problem of measuring discount rates in intertemporal transportation choices," Transportation, Springer, vol. 42(6), pages 1019-1038, November.

    Cited by:

    1. West, Grant H. & Snell, Heather & Kovacs, Kent & Nayga, Rodolfo M., 2020. "Estimation of the preferences for the intertemporal services from groundwater," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304220, Agricultural and Applied Economics Association.
    2. Nykvist, Björn & Sprei, Frances & Nilsson, Måns, 2019. "Assessing the progress toward lower priced long range battery electric vehicles," Energy Policy, Elsevier, vol. 124(C), pages 144-155.
    3. Lew, Daniel K., 2018. "Discounting future payments in stated preference choice experiments," Resource and Energy Economics, Elsevier, vol. 54(C), pages 150-164.
    4. Carrasco-Garcés, Moisés & Vásquez-Lavín, Felipe & Ponce Oliva, Roberto D. & Diaz Pincheira, Francisco & Barrientos, Manuel, 2021. "Estimating the implicit discount rate for new technology adoption of wood-burning stoves," Energy Policy, Elsevier, vol. 156(C).
    5. Vásquez-Lavín, Felipe & Carrasco, Moisés & Barrientos, Manuel & Gelcich, Stefan & Ponce Oliva, Roberto D., 2021. "Estimating discount rates for environmental goods: Are People’s responses inadequate to frequency of payments?," Journal of Environmental Economics and Management, Elsevier, vol. 107(C).
    6. Marianne Pedinotti-Castelle & Pierre-Olivier Pineau & Kathleen Vaillancourt & Ben Amor, 2021. "Changing Technology or Behavior? The Impacts of a Behavioral Disruption," Sustainability, MDPI, vol. 13(11), pages 1-23, May.

  14. 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.
    See citations under working paper version above.
  15. Ricardo A. Daziano & Martin Achtnicht, 2014. "Forecasting Adoption of Ultra-Low-Emission Vehicles Using Bayes Estimates of a Multinomial Probit Model and the GHK Simulator," Transportation Science, INFORMS, vol. 48(4), pages 671-683, November.

    Cited by:

    1. Tovar Reaños, Miguel Angel & Sommerfeld, Katrin, 2016. "Fuel for inequality: Distributional effects of environmental reforms on private transport," ZEW Discussion Papers 16-090, ZEW - Leibniz Centre for European Economic Research.
    2. Sgarbossa, Fabio & Arena, Simone & Tang, Ou & Peron, Mirco, 2023. "Renewable hydrogen supply chains: A planning matrix and an agenda for future research," International Journal of Production Economics, Elsevier, vol. 255(C).
    3. Sgarbossa, Fabio & Arena, Simone & Tang, Ou & Peron, Mirco, 2022. "Reprint of: Renewable hydrogen supply chains: A planning matrix and an agenda for future research," International Journal of Production Economics, Elsevier, vol. 250(C).
    4. Johannes Mauritzen, 2023. "With great power (prices) comes great tail pipe emissions? \\ A natural experiment of electricity prices and electric car adoption," Papers 2304.01709, arXiv.org.
    5. Anna Fernández-Antolín & Matthieu Lapparent & Michel Bierlaire, 2018. "Modeling purchases of new cars: an analysis of the 2014 French market," Theory and Decision, Springer, vol. 84(2), pages 277-303, March.
    6. 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.
    7. Fanchao Liao & Eric Molin & Bert van Wee, 2017. "Consumer preferences for electric vehicles: a literature review," Transport Reviews, Taylor & Francis Journals, vol. 37(3), pages 252-275, May.
    8. Higgins, Christopher D. & Mohamed, Moataz & Ferguson, Mark R., 2017. "Size matters: How vehicle body type affects consumer preferences for electric vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 182-201.

  16. Ricardo A. Daziano & Luis Miranda-Moreno & Shahram Heydari, 2013. "Computational Bayesian Statistics in Transportation Modeling: From Road Safety Analysis to Discrete Choice," Transport Reviews, Taylor & Francis Journals, vol. 33(5), pages 570-592, September.

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    1. Anselmo Ramalho Pitombeira-Neto & Carlos Felipe Grangeiro Loureiro & Luis Eduardo Carvalho, 2020. "A Dynamic Hierarchical Bayesian Model for the Estimation of day-to-day Origin-destination Flows in Transportation Networks," Networks and Spatial Economics, Springer, vol. 20(2), pages 499-527, June.
    2. Taghreed Alghamdi & Sifatul Mostafi & Ghadeer Abdelkader & Khalid Elgazzar, 2022. "A Comparative Study on Traffic Modeling Techniques for Predicting and Simulating Traffic Behavior," Future Internet, MDPI, vol. 14(10), pages 1-21, October.
    3. Zhang, Jinfen & Wan, Chengpeng & He, Anxin & Zhang, Di & Soares, C. Guedes, 2021. "A two-stage black-spot identification model for inland waterway transportation," Reliability Engineering and System Safety, Elsevier, vol. 213(C).
    4. Wanke, Peter & Pestana Barros, Carlos & Chen, Zhongfei, 2015. "An analysis of Asian airlines efficiency with two-stage TOPSIS and MCMC generalized linear mixed models," International Journal of Production Economics, Elsevier, vol. 169(C), pages 110-126.
    5. Bantis, Thanos & Haworth, James, 2020. "Assessing transport related social exclusion using a capabilities approach to accessibility framework: A dynamic Bayesian network approach," Journal of Transport Geography, Elsevier, vol. 84(C).

  17. Ricardo Daziano & Denis Bolduc, 2013. "Covariance, identification, and finite-sample performance of the MSL and Bayes estimators of a logit model with latent attributes," Transportation, Springer, vol. 40(3), pages 647-670, May.

    Cited by:

    1. Vij, Akshay & Walker, Joan L., 2016. "How, when and why integrated choice and latent variable models are latently useful," Transportation Research Part B: Methodological, Elsevier, vol. 90(C), pages 192-217.
    2. Akshay Vij & Joan L. Walker, 2014. "Hybrid choice models: the identification problem," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 22, pages 519-564, Edward Elgar Publishing.
    3. Bouscasse, H., 2018. "Integrated choice and latent variable models: A literature review on mode choice," Working Papers 2018-07, Grenoble Applied Economics Laboratory (GAEL).
    4. Xuemei Fu & Zhicai Juan, 2017. "Estimation of multinomial probit-kernel integrated choice and latent variable model: comparison on one sequential and two simultaneous approaches," Transportation, Springer, vol. 44(1), pages 91-116, January.
    5. 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.
    6. Daziano, Ricardo A. & Chiew, Esther, 2012. "Electric vehicles rising from the dead: Data needs for forecasting consumer response toward sustainable energy sources in personal transportation," Energy Policy, Elsevier, vol. 51(C), pages 876-894.
    7. Marcel Paulssen & Dirk Temme & Akshay Vij & Joan Walker, 2014. "Values, attitudes and travel behavior: a hierarchical latent variable mixed logit model of travel mode choice," Transportation, Springer, vol. 41(4), pages 873-888, July.
    8. Chae, Dasol & Jung, Jaeyoung & Sohn, Keemin, 2018. "Facilitating an expectation-maximization (EM) algorithm to solve an integrated choice and latent variable (ICLV) model with fully correlated latent variables," Journal of choice modelling, Elsevier, vol. 26(C), pages 64-79.
    9. Daziano, Ricardo A., 2015. "Inference on mode preferences, vehicle purchases, and the energy paradox using a Bayesian structural choice model," Transportation Research Part B: Methodological, Elsevier, vol. 76(C), pages 1-26.
    10. Hélène Bouscasse, 2018. "Integrated choice and latent variable models: A literature review on mode choice," Working Papers hal-01795630, HAL.
    11. Rose, John M. & Hensher, David A., 2018. "User satisfaction with taxi and limousine services in the Melbourne metropolitan area," Journal of Transport Geography, Elsevier, vol. 70(C), pages 234-245.

  18. Daziano, Ricardo A., 2013. "Conditional-logit Bayes estimators for consumer valuation of electric vehicle driving range," Resource and Energy Economics, Elsevier, vol. 35(3), pages 429-450.

    Cited by:

    1. Milan Scasny & Milan Scasny & Iva Zverinova & Mikolaj Czajkowski, 2015. "Individual preference for the alternative fuel vehicles and their attributes in Poland," EcoMod2015 8575, EcoMod.
    2. 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.
    3. Daina, Nicolò & Sivakumar, Aruna & Polak, John W., 2017. "Modelling electric vehicles use: a survey on the methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 447-460.
    4. Ito, Nobuyuki & Takeuchi, Kenji & Managi, Shunsuke, 2019. "Do battery-switching systems accelerate the adoption of electric vehicles? A stated preference study," Economic Analysis and Policy, Elsevier, vol. 61(C), pages 85-92.
    5. Mads Greaker, 2020. "Optimal regulatory policies for charging of electric vehicles," Working Papers 202003, Oslo Metropolitan University, Oslo Business School.
    6. Giansoldati, Marco & Danielis, Romeo & Rotaris, Lucia & Scorrano, Mariangela, 2018. "The role of driving range in consumers' purchasing decision for electric cars in Italy," Energy, Elsevier, vol. 165(PA), pages 267-274.
    7. Krueger, Rico & Rashidi, Taha H. & Vij, Akshay, 2020. "A Dirichlet process mixture model of discrete choice: Comparisons and a case study on preferences for shared automated vehicles," Journal of choice modelling, Elsevier, vol. 36(C).
    8. Xiaoxia Dong & Matthew DiScenna & Erick Guerra, 2019. "Transit user perceptions of driverless buses," Transportation, Springer, vol. 46(1), pages 35-50, February.
    9. Li, Wenbo & Long, Ruyin & Chen, Hong & Yang, Tong & Geng, Jichao & Yang, Muyi, 2018. "Effects of personal carbon trading on the decision to adopt battery electric vehicles: Analysis based on a choice experiment in Jiangsu, China," Applied Energy, Elsevier, vol. 209(C), pages 478-488.
    10. Yan, Jianghui & Tseng, Fang-Mei & Lu, Louis Y.Y., 2018. "Developmental trajectories of new energy vehicle research in economic management: Main path analysis," Technological Forecasting and Social Change, Elsevier, vol. 137(C), pages 168-181.
    11. Bergantino, Angela Stefania & Capozza, Claudia & Intini, Mario, 2018. "Empirical investigation of retail gasoline prices," Working Papers 18_4, SIET Società Italiana di Economia dei Trasporti e della Logistica.
    12. Adedamola Adepetu & Srinivasan Keshav, 2017. "The relative importance of price and driving range on electric vehicle adoption: Los Angeles case study," Transportation, Springer, vol. 44(2), pages 353-373, March.
    13. Bahamonde-Birke, Francisco J. & Hanappi, Tibor, 2016. "The potential of electromobility in Austria: Evidence from hybrid choice models under the presence of unreported information," Transportation Research Part A: Policy and Practice, Elsevier, vol. 83(C), pages 30-41.
    14. Dimitropoulos, Alexandros & Rietveld, Piet & van Ommeren, Jos N., 2013. "Consumer valuation of changes in driving range: A meta-analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 55(C), pages 27-45.
    15. Shao, Liuguo & Hu, Jianying & Zhang, Hua, 2021. "Evolution of global lithium competition network pattern and its influence factors," Resources Policy, Elsevier, vol. 74(C).
    16. Danielis, Romeo & Scorrano, Mariangela & Giansoldati, Marco & Rotaris, Lucia, 2019. "A meta-analysis of the importance of the driving range in consumers’ preference studies for battery electric vehicles," Working Papers 19_2, SIET Società Italiana di Economia dei Trasporti e della Logistica.
    17. Yuan, Xinmei & Li, Lili & Gou, Huadong & Dong, Tingting, 2015. "Energy and environmental impact of battery electric vehicle range in China," Applied Energy, Elsevier, vol. 157(C), pages 75-84.
    18. Balcombe, Kelvin & Fraser, Iain & Williams, Louis & McSorley, Eugene, 2017. "Examining the relationship between visual attention and stated preferences: A discrete choice experiment using eye-tracking," Journal of Economic Behavior & Organization, Elsevier, vol. 144(C), pages 238-257.
    19. Rico Krueger & Taha H. Rashidi & Akshay Vij, 2019. "Semi-Parametric Hierarchical Bayes Estimates of New Yorkers' Willingness to Pay for Features of Shared Automated Vehicle Services," Papers 1907.09639, arXiv.org.
    20. Jia, Wenjian & Jiang, Zhiqiu & Wang, Qian & Xu, Bin & Xiao, Mei, 2023. "Preferences for zero-emission vehicle attributes: Comparing early adopters with mainstream consumers in California," Transport Policy, Elsevier, vol. 135(C), pages 21-32.
    21. Bansal, Prateek & Daziano, Ricardo A & Guerra, Erick, 2018. "Minorization-Maximization (MM) algorithms for semiparametric logit models: Bottlenecks, extensions, and comparisons," Transportation Research Part B: Methodological, Elsevier, vol. 115(C), pages 17-40.
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    7. Hakim Hammadou & Claire Papaix, 2015. "Policy packages for modal shift and CO2 reduction in Lille, France," Post-Print hal-01533557, HAL.
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    10. 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.
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    32. Mengnan Li & Haiyi Ye & Xiawei Liao & Junping Ji & Xiaoming Ma, 2020. "How Shenzhen, China pioneered the widespread adoption of electric vehicles in a major city: Implications for global implementation," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 9(4), July.
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