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Amanda Stathopoulos

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. Jason Soria & Shelly Etzioni & Yoram Shiftan & Amanda Stathopoulos & Eran Ben-Elia, 2022. "Microtransit adoption in the wake of the COVID-19 pandemic: evidence from a choice experiment with transit and car commuters," Papers 2204.01974, arXiv.org.

    Cited by:

    1. Soria, Jason & Edward, Deirdre & Stathopoulos, Amanda, 2023. "Requiem for transit ridership? An examination of who abandoned, who will return, and who will ride more with mobility as a service," Transport Policy, Elsevier, vol. 134(C), pages 139-154.

  2. Jason Soria & Amanda Stathopoulos, 2021. "Investigating Socio-spatial Differences between Solo Ridehailing and Pooled Rides in Diverse Communities," Papers 2105.03512, arXiv.org.

    Cited by:

    1. Xiaomei Li & Yiwen Zhang & Zijie Yang & Yijun Zhu & Cihang Li & Wenxiang Li, 2023. "Modeling Choice Behaviors for Ridesplitting under a Carbon Credit Scheme," Sustainability, MDPI, vol. 15(16), pages 1-17, August.
    2. Zwick, Felix & Axhausen, Kay W., 2022. "Ride-pooling demand prediction: A spatiotemporal assessment in Germany," Journal of Transport Geography, Elsevier, vol. 100(C).
    3. Tang, Jinjun & Zhao, Chuyun & Liu, Fang & Hao, Wei & Gao, Fan, 2022. "Analyzing travel destinations distribution using large-scaled GPS trajectories: A spatio-temporal Log-Gaussian Cox process," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 599(C).
    4. Lei Wang & Wenxiang Li & Jinxian Weng & Dong Zhang & Wanjing Ma, 2023. "Do low-carbon rewards incentivize people to ridesplitting? Evidence from structural analysis," Transportation, Springer, vol. 50(5), pages 2077-2109, October.
    5. Jason Soria & Shelly Etzioni & Yoram Shiftan & Amanda Stathopoulos & Eran Ben-Elia, 2022. "Microtransit adoption in the wake of the COVID-19 pandemic: evidence from a choice experiment with transit and car commuters," Papers 2204.01974, arXiv.org.

  3. Maher Said & Emma R. Zajdela & Amanda Stathopoulos, 2021. "Accelerating the Adoption of Disruptive Technologies: The Impact of COVID-19 on Intentions to Use Autonomous Vehicles," Papers 2108.01615, arXiv.org, revised Dec 2021.

    Cited by:

    1. Gibson, Samantha & Hsu, Maxwell K. & Zhou, Xing, 2022. "Convenience stores in the digital age: A focus on the customer experience and revisit intentions," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).

  4. Alec Biehl & Ying Chen & Karla Sanabria-Veaz & David Uttal & Amanda Stathopoulos, 2019. "Where does active travel fit within local community narratives of mobility space and place?," Papers 1905.02674, arXiv.org.

    Cited by:

    1. Deborah de Lange, 2023. "Sustainable Transportation for the Climate: How Do Transportation Firms Engage in Cooperative Public-Private Partnerships?," Sustainability, MDPI, vol. 15(11), pages 1-21, May.
    2. Shirgaokar, Manish & Reynard, Darcy & Collins, Damian, 2021. "Using twitter to investigate responses to street reallocation during COVID-19: Findings from the U.S. and Canada," Transportation Research Part A: Policy and Practice, Elsevier, vol. 154(C), pages 300-312.
    3. 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.
    4. Jason Soria & Amanda Stathopoulos, 2021. "Investigating Socio-spatial Differences between Solo Ridehailing and Pooled Rides in Diverse Communities," Papers 2105.03512, arXiv.org.
    5. Lurdes Jesus Ferreira & Jieling Liu, 2023. "Social Determinants, Motivation, and Communication: How People Perceive and Choose Sustainable Mobility at a Local Level in Portugal," Sustainability, MDPI, vol. 15(18), pages 1, September.
    6. Sun, Yanshuo & Kirtonia, Sajeeb, 2020. "Identifying regional characteristics of transportation research with Transport Research International Documentation (TRID) data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 137(C), pages 111-130.

  5. Edoardo Marcucci & Valerio Gatta & Amanda Stathopoulos & Eva Valeri, 2011. "Designing an Efficient Stated Ranking Experiment for Ex Ante Urban Freight Policy Evaluation in a Three Agent Type Context: Retailers, Own-Account and Carrier," Working Papers 11_1, SIET Società Italiana di Economia dei Trasporti e della Logistica.

    Cited by:

    1. Stathopoulos, Amanda & Valeri, Eva & Marcucci, Edoardo, 2012. "Stakeholder reactions to urban freight policy innovation," Journal of Transport Geography, Elsevier, vol. 22(C), pages 34-45.

  6. Edoardo Marcucci & Amanda Stathopoulos & Romeo Danielis & Lucia Rotaris, 2010. "Residential choices and interaction in three-member households: a choice experiment," Working Papers 1012, University of Urbino Carlo Bo, Department of Economics, Society & Politics - Scientific Committee - L. Stefanini & G. Travaglini, revised 2010.

    Cited by:

    1. Marcucci, Edoardo & Gatta, Valerio, 2012. "Dissecting preference heterogeneity in consumer stated choices," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(1), pages 331-339.

Articles

  1. Chen, Enhui & Stathopoulos, Amanda & Nie, Yu (Marco), 2022. "Transfer station choice in a multimodal transit system: An empirical study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 165(C), pages 337-355.

    Cited by:

    1. Chengyuan Mao & Wenjiao Xu & Yiwen Huang & Xintong Zhang & Nan Zheng & Xinhuan Zhang, 2023. "Investigation of Passengers’ Perceived Transfer Distance in Urban Rail Transit Stations Using XGBoost and SHAP," Sustainability, MDPI, vol. 15(10), pages 1-22, May.

  2. Tahlyan, Divyakant & Said, Maher & Mahmassani, Hani & Stathopoulos, Amanda & Walker, Joan & Shaheen, Susan, 2022. "For whom did telework not work during the Pandemic? understanding the factors impacting telework satisfaction in the US using a multiple indicator multiple cause (MIMIC) model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 155(C), pages 387-402.

    Cited by:

    1. Carlos A. Arbelaez-Velasquez & Diana Giraldo & Santiago Quintero, 2022. "Analysis of a Teleworking Technology Adoption Case: An Agent-Based Model," Sustainability, MDPI, vol. 14(16), pages 1-14, August.
    2. Asmussen, Katherine E. & Mondal, Aupal & Bhat, Chandra R. & Pendyala, Ram M., 2023. "On modeling future workplace location decisions: An analysis of Texas employees," Transportation Research Part A: Policy and Practice, Elsevier, vol. 172(C).
    3. Wang, Kaili & Gao, Ya & Liu, Yicong & Nurul Habib, Khandker, 2023. "Exploring the choice between in-store versus online grocery shopping through an application of Semi-Compensatory Independent Availability Logit (SCIAL) model with latent variables," Journal of Retailing and Consumer Services, Elsevier, vol. 71(C).
    4. Hensher, David A. & Beck, Matthew J., 2023. "Exploring how worthwhile the things that you do in life are during COVID-19 and links to well-being and working from home," Transportation Research Part A: Policy and Practice, Elsevier, vol. 168(C).
    5. Soria, Jason & Edward, Deirdre & Stathopoulos, Amanda, 2023. "Requiem for transit ridership? An examination of who abandoned, who will return, and who will ride more with mobility as a service," Transport Policy, Elsevier, vol. 134(C), pages 139-154.

  3. Soria, Jason & Stathopoulos, Amanda, 2021. "Investigating socio-spatial differences between solo ridehailing and pooled rides in diverse communities," Journal of Transport Geography, Elsevier, vol. 95(C).
    See citations under working paper version above.
  4. Alireza Ermagun & Ali Shamshiripour & Amanda Stathopoulos, 2020. "Performance analysis of crowd-shipping in urban and suburban areas," Transportation, Springer, vol. 47(4), pages 1955-1985, August.

    Cited by:

    1. Tapia, Rodrigo J. & Kourounioti, Ioanna & Thoen, Sebastian & de Bok, Michiel & Tavasszy, Lori, 2023. "A disaggregate model of passenger-freight matching in crowdshipping services," Transportation Research Part A: Policy and Practice, Elsevier, vol. 169(C).
    2. Martin W.P Savelsbergh & Marlin W. Ulmer, 2022. "Challenges and opportunities in crowdsourced delivery planning and operations," 4OR, Springer, vol. 20(1), pages 1-21, March.
    3. Mancini, Simona & Gansterer, Margaretha, 2022. "Bundle generation for last-mile delivery with occasional drivers," Omega, Elsevier, vol. 108(C).
    4. Ghaderi, Hadi & Zhang, Lele & Tsai, Pei-Wei & Woo, Jihoon, 2022. "Crowdsourced last-mile delivery with parcel lockers," International Journal of Production Economics, Elsevier, vol. 251(C).
    5. Fei Ma & Yujie Zhu & Kum Fai Yuen & Qipeng Sun & Haonan He & Xiaobo Xu & Zhen Shang & Yan Xu, 2022. "Exploring the Spatiotemporal Evolution and Sustainable Driving Factors of Information Flow Network: A Public Search Attention Perspective," IJERPH, MDPI, vol. 19(1), pages 1-25, January.

  5. 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.

    Cited by:

    1. Yu, Vincent F. & Aloina, Grace & Eccarius, Timo, 2023. "Adoption intentions of home-refill delivery service for fast-moving consumer goods," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 171(C).
    2. Jacques Nel & Christo Boshoff, 2023. "Unraveling the link between status quo satisfaction and the rejection of digital-only banks," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 28(1), pages 189-207, March.
    3. Vojtěch Máca & Milan Ščasný & Iva Zvěřinová & Michal Jakob & Jan Hrnčíř, 2020. "Incentivizing Commuter Cycling by Financial and Non-Financial Rewards," IJERPH, MDPI, vol. 17(17), pages 1-14, August.
    4. Wood, Astrid, 2020. "Tracing the absence of bike-share in Johannesburg: A case of policy mobilities and non-adoption," Journal of Transport Geography, Elsevier, vol. 83(C).
    5. Li-Ting Chen & Ya-Wen Hsu, 2020. "Socio-Ecological Predictors of Frequent Bike Share Trips: Do Purposes Matter?," IJERPH, MDPI, vol. 17(20), pages 1-16, October.

  6. 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.
    See citations under working paper version above.
  7. Biehl, Alec & Ermagun, Alireza & Stathopoulos, Amanda, 2018. "Community mobility MAUP-ing: A socio-spatial investigation of bikeshare demand in Chicago," Journal of Transport Geography, Elsevier, vol. 66(C), pages 80-90.

    Cited by:

    1. Younes, Hannah & Nasri, Arefeh & Baiocchi, Giovanni & Zhang, Lei, 2019. "How transit service closures influence bikesharing demand; lessons learned from SafeTrack project in Washington, D.C. metropolitan area," Journal of Transport Geography, Elsevier, vol. 76(C), pages 83-92.
    2. Jason Soria & Amanda Stathopoulos, 2021. "Investigating Socio-spatial Differences between Solo Ridehailing and Pooled Rides in Diverse Communities," Papers 2105.03512, arXiv.org.
    3. Gao, Jiong & Ma, Shoufeng & Wang, Lei & Shuai, Ling & Du, Huibin, 2023. "Does greenness bring more green travelling? Evidence from free-floating bike-sharing in Beijing," Journal of Transport Geography, Elsevier, vol. 109(C).
    4. Fan Gao & Jinjun Tang & Zhitao Li, 2022. "Effects of spatial units and travel modes on urban commuting demand modeling," Transportation, Springer, vol. 49(6), pages 1549-1575, December.
    5. Elisa Borowski & Jason Soria & Joseph Schofer & Amanda Stathopoulos, 2020. "Disparities in ridesourcing demand for mobility resilience: A multilevel analysis of neighborhood effects in Chicago, Illinois," Papers 2010.15889, arXiv.org.
    6. Muhammad Usama & Yongjun Shen & Onaira Zahoor, 2019. "Towards an Energy Efficient Solution for Bike-Sharing Rebalancing Problems: A Battery Electric Vehicle Scenario," Energies, MDPI, vol. 12(13), pages 1-21, June.
    7. Javanmard, Reyhane & Lee, Jinhyung & Kim, Junghwan & Liu, Luyu & Diab, Ehab, 2023. "The impacts of the modifiable areal unit problem (MAUP) on social equity analysis of public transit reliability," Journal of Transport Geography, Elsevier, vol. 106(C).
    8. Yuanyuan Zhang & Yuming Zhang, 2018. "Associations between Public Transit Usage and Bikesharing Behaviors in The United States," Sustainability, MDPI, vol. 10(6), pages 1-20, June.
    9. Pani, Agnivesh & Sahu, Prasanta K. & Chandra, Aitichya & Sarkar, Ashoke K., 2019. "Assessing the extent of modifiable areal unit problem in modelling freight (trip) generation: Relationship between zone design and model estimation results," Journal of Transport Geography, Elsevier, vol. 80(C).
    10. Morton, Craig & Kelley, Scott & Monsuur, Fredrik & Hui, Tianwen, 2021. "A spatial analysis of demand patterns on a bicycle sharing scheme: Evidence from London," Journal of Transport Geography, Elsevier, vol. 94(C).
    11. Radzimski, Adam & Dzięcielski, Michał, 2021. "Exploring the relationship between bike-sharing and public transport in Poznań, Poland," Transportation Research Part A: Policy and Practice, Elsevier, vol. 145(C), pages 189-202.

  8. Ermagun, Alireza & Stathopoulos, Amanda, 2018. "To bid or not to bid: An empirical study of the supply determinants of crowd-shipping," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 468-483.

    Cited by:

    1. Fessler, Andreas & Thorhauge, Mikkel & Mabit, Stefan & Haustein, Sonja, 2022. "A public transport-based crowdshipping concept as a sustainable last-mile solution: Assessing user preferences with a stated choice experiment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 158(C), pages 210-223.
    2. Mario Binetti & Leonardo Caggiani & Rosalia Camporeale & Michele Ottomanelli, 2019. "A Sustainable Crowdsourced Delivery System to Foster Free-Floating Bike-Sharing," Sustainability, MDPI, vol. 11(10), pages 1-24, May.
    3. Yıldız, Barış, 2021. "Package routing problem with registered couriers and stochastic demand," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 147(C).
    4. Shen, Hui & Lin, Jane, 2020. "Investigation of crowdshipping delivery trip production with real-world data," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 143(C).
    5. Pourrahmani, Elham & Jaller, Miguel, 2021. "Crowdshipping in last mile deliveries: Operational challenges and research opportunities," Socio-Economic Planning Sciences, Elsevier, vol. 78(C).
    6. Xiao Lin & Yoshinari Nishiki & Lóránt A. Tavasszy, 2020. "Performance and Intrusiveness of Crowdshipping Systems: An Experiment with Commuting Cyclists in The Netherlands," Sustainability, MDPI, vol. 12(17), pages 1-14, September.
    7. Mikael Kervall & Henrik Pålsson, 2022. "A Multi-Stakeholder Perspective on Barriers to a Fossil-Free Urban Freight System," Sustainability, MDPI, vol. 15(1), pages 1-20, December.
    8. Bathke, Henrik & Hartmann, Evi, 2021. "Accepting a crowdsourced delivery - A choice-based conjoint analysis," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Jahn, Carlos & Kersten, Wolfgang & Ringle, Christian M. (ed.), Adapting to the Future: Maritime and City Logistics in the Context of Digitalization and Sustainability. Proceedings of the Hamburg International Conf, volume 32, pages 65-95, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    9. Alireza Ermagun & Ali Shamshiripour & Amanda Stathopoulos, 2020. "Performance analysis of crowd-shipping in urban and suburban areas," Transportation, Springer, vol. 47(4), pages 1955-1985, August.

  9. Stathopoulos, Amanda & Cirillo, Cinzia & Cherchi, Elisabetta & Ben-Elia, Eran & Li, Yeun-Touh & Schmöcker, Jan-Dirk, 2017. "Innovation adoption modeling in transportation: New models and data," Journal of choice modelling, Elsevier, vol. 25(C), pages 61-68.

    Cited by:

    1. Eran Ben-Elia & Feng Zhen, 2018. "ICT, activity space–time and mobility: new insights, new models, new methodologies," Transportation, Springer, vol. 45(2), pages 267-272, March.
    2. Zhang, Cen & Schmöcker, Jan-Dirk & Kuwahara, Masahiro & Nakamura, Toshiyuki & Uno, Nobuhiro, 2020. "A diffusion model for estimating adoption patterns of a one-way carsharing system in its initial years," Transportation Research Part A: Policy and Practice, Elsevier, vol. 136(C), pages 135-150.
    3. Hwang, Jinuk & Kim, Seheon, 2023. "Autonomous vehicle transportation service for people with disabilities: Policy recommendations based on the evidence from hybrid choice model," Journal of Transport Geography, Elsevier, vol. 106(C).
    4. Caiati, Valeria & Rasouli, Soora & Timmermans, Harry, 2020. "Bundling, pricing schemes and extra features preferences for mobility as a service: Sequential portfolio choice experiment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 131(C), pages 123-148.
    5. 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.
    6. Pizzol, Bruna & Strambi, Orlando & Giannotti, Mariana & Arbex, Renato Oliveira & Alves, Bianca Bianchi, 2021. "Activity behavior of residents of Paraisópolis slum: Analysis of multiday activity patterns using data collected with smartphones," Journal of choice modelling, Elsevier, vol. 39(C).
    7. Cen Zhang & Jan-Dirk Schmöcker & Martin Trépanier, 2022. "Latent stage model for carsharing usage frequency estimation with Montréal case study," Transportation, Springer, vol. 49(1), pages 185-211, February.
    8. Rotaris, Lucia & Scorrano, Mariangela, 2023. "Insights into peer-to-peer carsharing: Modelling and scenario analysis via a Bass diffusion agent-based model," Research in Transportation Economics, Elsevier, vol. 97(C).
    9. 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.
    10. M Said & A Biehl & A Stathopoulos, 2020. "Interdependence in active mobility adoption: Joint modelling and motivational spill-over in walking, cycling and bike-sharing," Papers 2006.16920, arXiv.org, revised Oct 2020.

  10. Amanda Stathopoulos & Ipek N. Sener, 2017. "Transforming mobility systems with sharing and automation," Transportation, Springer, vol. 44(6), pages 1255-1259, November.

    Cited by:

    1. Hensher, David A., 2018. "Tackling road congestion – What might it look like in the future under a collaborative and connected mobility model?," Transport Policy, Elsevier, vol. 66(C), pages 1-8.

  11. Punel, Aymeric & Stathopoulos, Amanda, 2017. "Modeling the acceptability of crowdsourced goods deliveries: Role of context and experience effects," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 105(C), pages 18-38.

    Cited by:

    1. Tapia, Rodrigo J. & Kourounioti, Ioanna & Thoen, Sebastian & de Bok, Michiel & Tavasszy, Lori, 2023. "A disaggregate model of passenger-freight matching in crowdshipping services," Transportation Research Part A: Policy and Practice, Elsevier, vol. 169(C).
    2. Lagorio, Alexandra & Pinto, Roberto, 2021. "Food and grocery retail logistics issues: A systematic literature review," Research in Transportation Economics, Elsevier, vol. 87(C).
    3. Vladimir Todorovic & Marinko Maslaric & Sanja Bojic & Maja Jokic & Dejan Mircetic & Svetlana Nikolicic, 2018. "Solutions for More Sustainable Distribution in the Short Food Supply Chains," Sustainability, MDPI, vol. 10(10), pages 1-27, September.
    4. Nils Boysen & Stefan Fedtke & Stefan Schwerdfeger, 2021. "Last-mile delivery concepts: a survey from an operational research perspective," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 43(1), pages 1-58, March.
    5. Fessler, Andreas & Thorhauge, Mikkel & Mabit, Stefan & Haustein, Sonja, 2022. "A public transport-based crowdshipping concept as a sustainable last-mile solution: Assessing user preferences with a stated choice experiment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 158(C), pages 210-223.
    6. Quan Dai & Hongfei Jia & Yao Liu, 2020. "Private vehicle-based crowdshipping for intercity express transportation: Feasibility assessment," International Journal of Distributed Sensor Networks, , vol. 16(2), pages 15501477209, February.
    7. Wei, Xiaoyong & Lo, Chris.K.Y. & Jung, Sojin & Choi, Tsan-Ming, 2021. "From co-consumption to co-production: A systematic review and research synthesis of collaborative consumption practices," Journal of Business Research, Elsevier, vol. 129(C), pages 282-294.
    8. Tho V. Le & Satish V. Ukkusuri, 2019. "Influencing factors that determine the usage of the crowd-shipping services," Papers 1902.08681, arXiv.org.
    9. Horner, Hannah & Pazour, Jennifer & Mitchell, John E., 2021. "Optimizing driver menus under stochastic selection behavior for ridesharing and crowdsourced delivery," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 153(C).
    10. Luo, Hao & Yang, Xuan & Kong, Xiang T.R., 2019. "A synchronized production-warehouse management solution for reengineering the online-offline integrated order fulfillment," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 122(C), pages 211-230.
    11. Jinsung Kim & Minseok Kim & Sehyeuk Im & Donghyun Choi, 2021. "Competitiveness of E Commerce Firms through ESG Logistics," Sustainability, MDPI, vol. 13(20), pages 1-15, October.
    12. Pasirayi, Simbarashe & Fennell, Patrick B. & Sen, Argha, 2023. "The effect of third-party delivery partnerships on firm value," Journal of Business Research, Elsevier, vol. 167(C).
    13. He, Shan & Dai, Ying & Ma, Zu-Jun, 2023. "To offer or not to offer? The optimal value-insured strategy for crowdsourced delivery platforms," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 173(C).
    14. Behrend, Moritz & Meisel, Frank & Fagerholt, Kjetil & Andersson, Henrik, 2019. "An exact solution method for the capacitated item-sharing and crowdshipping problem," European Journal of Operational Research, Elsevier, vol. 279(2), pages 589-604.
    15. Andrii Galkin & Tibor Schlosser & Ivan Cardenas & Dominika Hodakova & Silvia Capayova, 2021. "Freight Demand and Supply Assessment for Implementation of Crowdsourcing Technology: A Case Study in Bratislava, Slovakia," Sustainability, MDPI, vol. 13(7), pages 1-22, March.
    16. Michele D. Simoni & Edoardo Marcucci & Valerio Gatta & Christian G. Claudel, 2020. "Potential last-mile impacts of crowdshipping services: a simulation-based evaluation," Transportation, Springer, vol. 47(4), pages 1933-1954, August.
    17. Jagienka Rześny-Cieplińska & Agnieszka Szmelter-Jarosz, 2019. "Assessment of the Crowd Logistics Solutions—The Stakeholders’ Analysis Approach," Sustainability, MDPI, vol. 11(19), pages 1-26, September.
    18. He, Bo & Mirchandani, Prakash & Wang, Yong, 2020. "Removing barriers for grocery stores: O2O platform and self-scheduling delivery capacity," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 141(C).
    19. Xiao, Fei & Wang, Haijun & Guo, Shuojia & Guan, Xu & Liu, Baoshan, 2021. "Efficient and truthful multi-attribute auctions for crowdsourced delivery," International Journal of Production Economics, Elsevier, vol. 240(C).
    20. Anuj Mittal & Amy A. Marusak & Caroline C. Krejci & Narjes Sadeghiamirshahidi & K. Jamie Rogers, 2022. "Evaluating the Suitability of Crowd-Shipping Platforms for Small and Medium-Sized Enterprises," Sustainability, MDPI, vol. 14(21), pages 1-18, October.
    21. Wanjie Hu & Jianjun Dong & Bon-gang Hwang & Rui Ren & Zhilong Chen, 2019. "A Scientometrics Review on City Logistics Literature: Research Trends, Advanced Theory and Practice," Sustainability, MDPI, vol. 11(10), pages 1-27, May.
    22. 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).
    23. Le, Tho V. & Ukkusuri, Satish V. & Xue, Jiawei & Van Woensel, Tom, 2021. "Designing pricing and compensation schemes by integrating matching and routing models for crowd-shipping systems," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 149(C).
    24. Shen, Hui & Lin, Jane, 2020. "Investigation of crowdshipping delivery trip production with real-world data," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 143(C).
    25. Behrend, Moritz & Meisel, Frank, 2018. "The integration of item-sharing and crowdshipping: Can collaborative consumption be pushed by delivering through the crowd?," Transportation Research Part B: Methodological, Elsevier, vol. 111(C), pages 227-243.
    26. Martin W.P Savelsbergh & Marlin W. Ulmer, 2022. "Challenges and opportunities in crowdsourced delivery planning and operations," 4OR, Springer, vol. 20(1), pages 1-21, March.
    27. Xiao, Haohan & Xu, Min & Wang, Shuaian, 2023. "Crowd-shipping as a Service: Game-based operating strategy design and analysis," Transportation Research Part B: Methodological, Elsevier, vol. 176(C).
    28. Ermagun, Alireza & Stathopoulos, Amanda, 2018. "To bid or not to bid: An empirical study of the supply determinants of crowd-shipping," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 468-483.
    29. Giacomo Lozzi & Valerio Gatta & Edoardo Marcucci, 2018. "European urban freight transport policies and research funding: are priorities and H2020 calls aligned?," REGION, European Regional Science Association, vol. 5, pages 53-71.
    30. Cheng, Xi & Gou, Qinglong & Yue, Jinfeng & Zhang, Yan, 2019. "Equilibrium decisions for an innovation crowdsourcing platform," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 125(C), pages 241-260.
    31. Pourrahmani, Elham & Jaller, Miguel, 2021. "Crowdshipping in last mile deliveries: Operational challenges and research opportunities," Socio-Economic Planning Sciences, Elsevier, vol. 78(C).
    32. Cleophas, Catherine & Cottrill, Caitlin & Ehmke, Jan Fabian & Tierney, Kevin, 2019. "Collaborative urban transportation: Recent advances in theory and practice," European Journal of Operational Research, Elsevier, vol. 273(3), pages 801-816.
    33. Björn Asdecker, 2021. "Building the E-Commerce Supply Chain of the Future: What Influences Consumer Acceptance of Alternative Places of Delivery on the Last-Mile," Logistics, MDPI, vol. 5(4), pages 1-17, December.
    34. Liu, He & Xu, Tianting & Jing, Shuai & Liu, Zhidong & Wang, Shouyang, 2023. "The interplay between logistics strategy and platform’s channel structure design in B2C platform market," European Journal of Operational Research, Elsevier, vol. 310(2), pages 812-833.
    35. Patricija Bajec & Danijela Tuljak-Suban, 2022. "A Strategic Approach for Promoting Sustainable Crowdshipping in Last-Mile Deliveries," Sustainability, MDPI, vol. 14(20), pages 1-17, October.
    36. Oleksandr Rossolov & Yusak O. Susilo, 2023. "Are consumers ready to pay extra for crowd-shipping e-groceries and why? A hybrid choice analysis for developing economies," Papers 2303.07044, arXiv.org.
    37. Ghaderi, Hadi & Zhang, Lele & Tsai, Pei-Wei & Woo, Jihoon, 2022. "Crowdsourced last-mile delivery with parcel lockers," International Journal of Production Economics, Elsevier, vol. 251(C).
    38. Allahviranloo, Mahdieh & Baghestani, Amirhossein, 2019. "A dynamic crowdshipping model and daily travel behavior," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 128(C), pages 175-190.
    39. Behrend, Moritz & Meisel, Frank & Fagerholt, Kjetil & Andersson, Henrik, 2021. "A multi-period analysis of the integrated item-sharing and crowdshipping problem," European Journal of Operational Research, Elsevier, vol. 292(2), pages 483-499.
    40. Forscher, Teddy & Deakin, Elizabeth PhD & Walker, Joan PhD & Shaheen, Susan PhD, 2021. "Who Has Access to E-Commerce During the COVID-19 Pandemic in the Sacramento Region? Implications for Future E-Commerce and Shopping Tripmaking," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt6mx0w7hj, Institute of Transportation Studies, UC Berkeley.
    41. Hou, Ting & Zhang, Wen, 2021. "Optimal two-stage elimination contests for crowdsourcing," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 145(C).
    42. Damianos P. Sakas & Nikolaos Th. Giannakopoulos, 2021. "Harvesting Crowdsourcing Platforms’ Traffic in Favour of Air Forwarders’ Brand Name and Sustainability," Sustainability, MDPI, vol. 13(15), pages 1-25, July.
    43. Valerio Gatta & Edoardo Marcucci & Marialisa Nigro & Sergio Maria Patella & Simone Serafini, 2018. "Public Transport-Based Crowdshipping for Sustainable City Logistics: Assessing Economic and Environmental Impacts," Sustainability, MDPI, vol. 11(1), pages 1-14, December.
    44. Zhang, Juan & Huang, Jian, 2020. "Deceptive advertising in a crowdfunding market," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 135(C).
    45. Alireza Ermagun & Ali Shamshiripour & Amanda Stathopoulos, 2020. "Performance analysis of crowd-shipping in urban and suburban areas," Transportation, Springer, vol. 47(4), pages 1955-1985, August.

  12. Varotto, Silvia F. & Glerum, Aurélie & Stathopoulos, Amanda & Bierlaire, Michel & Longo, Giovanni, 2017. "Mitigating the impact of errors in travel time reporting on mode choice modelling," Journal of Transport Geography, Elsevier, vol. 62(C), pages 236-246.

    Cited by:

    1. Thomas E. Guerrero & C. Angelo Guevara & Elisabetta Cherchi & Juan de Dios Ortúzar, 2021. "Addressing endogeneity in strategic urban mode choice models," Transportation, Springer, vol. 48(4), pages 2081-2102, August.
    2. Nirmale, Sangram Krishna & Pinjari, Abdul Rawoof, 2023. "Discrete choice models with multiplicative stochasticity in choice environment variables: Application to accommodating perception errors in driver behaviour models," Transportation Research Part B: Methodological, Elsevier, vol. 170(C), pages 169-193.
    3. 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.
    4. Peer, Stefanie & Börjesson, Maria, 2018. "Temporal framing of stated preference experiments: does it affect valuations?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 117(C), pages 319-333.
    5. Einat Tenenboim & Nira Munichor & Yoram Shiftan, 2023. "Justifying toll payment with biased travel time estimates: Behavioral findings and route choice modeling," Transportation, Springer, vol. 50(2), pages 477-511, April.
    6. 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).
    7. Gao, Ya & Pan, Haixiao & Xie, Zhilin & Habib, Khandker Nurul, 2023. "Understanding patients heterogeneity in healthcare travel and hospital choice - A latent class analysis with covariates," Journal of Transport Geography, Elsevier, vol. 110(C).
    8. Yan, Yingying & Zhong, Shiquan & Tian, Junfang & Jia, Ning, 2022. "An empirical study on consumer automobile purchase intentions influenced by the COVID-19 outbreak," Journal of Transport Geography, Elsevier, vol. 104(C).
    9. Varela, Juan Manuel Lorenzo & Börjesson, Maria & Daly, Andrew, 2018. "Quantifying errors in travel time and cost by latent variables," Working papers in Transport Economics 2018:3, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    10. Chakroborty, Partha & Pinjari, Abdul Rawoof & Meena, Jayant & Gandhi, Avinash, 2021. "A Psychophysical Ordered Response Model of Time Perception and Service Quality: Application to Level of Service Analysis at Toll Plazas," Transportation Research Part B: Methodological, Elsevier, vol. 154(C), pages 44-64.
    11. Carlos Carrion & David Levinson, 2019. "Overestimation and underestimation of travel time on commute trips: GPS vs. self- reporting," Working Papers 2019-05, University of Minnesota: Nexus Research Group.
    12. Eivind Tveter, 2023. "The value of travel time: a revealed preferences approach using exogenous variation in travel costs and automatic traffic count data," Transportation, Springer, vol. 50(6), pages 2273-2297, December.
    13. Varela, Juan Manuel Lorenzo & Börjesson, Maria & Daly, Andrew, 2018. "Quantifying errors in travel time and cost by latent variables," Transportation Research Part B: Methodological, Elsevier, vol. 117(PA), pages 520-541.
    14. Moeinaddini, Amin & Habibian, Meeghat, 2023. "Transportation demand management policy efficiency: An attempt to address the effectiveness and acceptability of policy packages," Transport Policy, Elsevier, vol. 141(C), pages 317-330.
    15. Fu, Jianhua & Zhang, Yongqing, 2020. "Valuation of travel time reliability: Considering the traveler's adaptive expectation with an indifference band on daily trip duration," Transportation Research Part A: Policy and Practice, Elsevier, vol. 140(C), pages 337-353.

  13. Hess, Stephane & Stathopoulos, Amanda, 2013. "Linking response quality to survey engagement: A combined random scale and latent variable approach," Journal of choice modelling, Elsevier, vol. 7(C), pages 1-12.

    Cited by:

    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. Mohammed Alemu & Morten Mørkbak & Søren Olsen & Carsten Jensen, 2013. "Attending to the Reasons for Attribute Non-attendance in Choice Experiments," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 54(3), pages 333-359, March.
    3. Campbell, Danny & Mørkbak, Morten Raun & Olsen, Søren Bøye, 2018. "The link between response time and preference, variance and processing heterogeneity in stated choice experiments," Journal of Environmental Economics and Management, Elsevier, vol. 88(C), pages 18-34.
    4. Grilli, Gianluca & Notaro, Sandra & Campbell, Danny, 2018. "Including Value Orientations in Choice Models to Estimate Benefits of Wildlife Management Policies," Ecological Economics, Elsevier, vol. 151(C), pages 70-81.
    5. Kaambwa, Billingsley & Lancsar, Emily & McCaffrey, Nicola & Chen, Gang & Gill, Liz & Cameron, Ian D. & Crotty, Maria & Ratcliffe, Julie, 2015. "Investigating consumers' and informal carers' views and preferences for consumer directed care: A discrete choice experiment," Social Science & Medicine, Elsevier, vol. 140(C), pages 81-94.
    6. Tobias Börger, 2016. "Are Fast Responses More Random? Testing the Effect of Response Time on Scale in an Online Choice Experiment," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 65(2), pages 389-413, October.
    7. Liebe, Ulf & Glenk, Klaus & Oehlmann, Malte & Meyerhoff, Jürgen, 2015. "Does the use of mobile devices (tablets and smartphones) affect survey quality and choice behaviour in web surveys?," Journal of choice modelling, Elsevier, vol. 14(C), pages 17-31.
    8. Sandorf, Erlend Dancke & Persson, Lars & Broberg, Thomas, 2020. "Using an integrated choice and latent variable model to understand the impact of “professional” respondents in a stated preference survey," Resource and Energy Economics, Elsevier, vol. 61(C).
    9. Shuo Liu & Nick Netzer, 2023. "Happy Times: Measuring Happiness Using Response Times," CESifo Working Paper Series 10360, CESifo.
    10. Satoru Komatsu & Yayu Isyana D. Pongoliu & Masayuki Sakakibara & Taro Ohdoko, 2021. "Examining Preference Heterogeneity in Best-Worst Scaling: Case of Preferences for Job Opportunities in Artisanal Small-Scale Gold Mining (ASGM) Communities in Indonesia," IJERPH, MDPI, vol. 19(1), pages 1-14, December.
    11. Campbell, Danny & Sandorf, Erlend Dancke, 2020. "The use of latent variable models in policy: A road fraught with peril?," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 9(3), December.
    12. Dalemans, Floris & Muys, Bart & Verwimp, Anne & Van den Broeck, Goedele & Bohra, Babita & Sharma, Navin & Gowda, Balakrishna & Tollens, Eric & Maertens, Miet, 2018. "Redesigning oilseed tree biofuel systems in India," Energy Policy, Elsevier, vol. 115(C), pages 631-643.
    13. Mikołaj Czajkowski & Christian A. Vossler & Wiktor Budziński & Aleksandra Wiśniewska & Ewa Zawojska, 2015. "Addressing empirical challenges related to the incentive compatibility of stated preference methods," Working Papers 2015-31, Faculty of Economic Sciences, University of Warsaw.
    14. Song, Fangqing & Hess, Stephane & Dekker, Thijs, 2018. "Accounting for the impact of variety-seeking: Theory and application to HSR-air intermodality in China," Journal of Air Transport Management, Elsevier, vol. 69(C), pages 99-111.
    15. Sunghoon Jang & Soora Rasouli & Harry Timmermans, 2017. "Incorporating psycho-physical mapping into random regret choice models: model specifications and empirical performance assessments," Transportation, Springer, vol. 44(5), pages 999-1019, September.
    16. Beck, Matthew J. & Rose, John M. & Hensher, David A., 2013. "Consistently inconsistent: The role of certainty, acceptability and scale in choice," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 56(C), pages 81-93.
    17. Muhammad Bello & Awudu Abdulai, 2016. "Measuring heterogeneity, survey engagement and response quality in preferences for organic products in Nigeria," Applied Economics, Taylor & Francis Journals, vol. 48(13), pages 1159-1171, March.
    18. Enni Roukamo & Mikolaj Czajkowski & Nick Hanley & A. Juutinen & R. Svento, 2016. "Linking perceived choice complexity with scale heterogeneity in discrete choice experiments: home heating in Finland," Discussion Papers in Environment and Development Economics 2016-16, University of St. Andrews, School of Geography and Sustainable Development.
    19. Feyaerts, Hendrik & Maertens, Miet, 2021. "The Market for Onions or Lemons? Import Substitution and Consumer Preferences in Senegal," 2021 Conference, August 17-31, 2021, Virtual 315170, International Association of Agricultural Economists.
    20. Brown, Zachary S. & Dickinson, Katherine L. & Paskewitz, Susan, 2015. "A generalized latent class logit model of discontinuous preferences in repeated discrete choice data: an application to mosquito control in Madison, Wisconsin," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205613, Agricultural and Applied Economics Association.
    21. 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.
    22. Stephane Hess & John Rose, 2012. "Can scale and coefficient heterogeneity be separated in random coefficients models?," Transportation, Springer, vol. 39(6), pages 1225-1239, November.
    23. Börjesson, Maria & Fosgerau, Mogens, 2015. "Response time patterns in a stated choice experiment," Journal of choice modelling, Elsevier, vol. 14(C), pages 48-58.
    24. Vishva Danthurebandara & Martina Vandebroek & Jie Yu, 2013. "Integrated mixed logit and latent variable models," Marketing Letters, Springer, vol. 24(3), pages 245-259, September.
    25. Johanna Lena Dahlhausen & Cam Rungie & Jutta Roosen, 2018. "Value of labeling credence attributes—common structures and individual preferences," Agricultural Economics, International Association of Agricultural Economists, vol. 49(6), pages 741-751, November.
    26. Tobias Börger & Joseph Cook, 2016. "Giving respondents “time to think” reduces response randomness in repeated discrete choice tasks," Discussion Papers in Environment and Development Economics 2016-13, University of St. Andrews, School of Geography and Sustainable Development.
    27. Rungie, Cam M. & Coote, Leonard V. & Louviere, Jordan J., 2012. "Latent variables in discrete choice experiments," Journal of choice modelling, Elsevier, vol. 5(3), pages 145-156.
    28. 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.

  14. Stephane Hess & Amanda Stathopoulos & Danny Campbell & Vikki O’Neill & Sebastian Caussade, 2013. "It’s not that I don’t care, I just don’t care very much: confounding between attribute non-attendance and taste heterogeneity," Transportation, Springer, vol. 40(3), pages 583-607, May.

    Cited by:

    1. David Hensher, 2014. "Attribute processing as a behavioural strategy in choice making," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 12, pages 268-289, Edward Elgar Publishing.
    2. Vij, Akshay & Krueger, Rico, 2017. "Random taste heterogeneity in discrete choice models: Flexible nonparametric finite mixture distributions," Transportation Research Part B: Methodological, Elsevier, vol. 106(C), pages 76-101.
    3. van Zanten, Boris T. & Koetse, Mark J. & Verburg, Peter H., 2016. "Economic valuation at all cost? The role of the price attribute in a landscape preference study," Ecosystem Services, Elsevier, vol. 22(PB), pages 289-296.
    4. 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.
    5. Mark J. Koetse, 2017. "Effects of payment vehicle non-attendance in choice experiments on value estimates and the WTA–WTP disparity," Journal of Environmental Economics and Policy, Taylor & Francis Journals, vol. 6(3), pages 225-245, July.
    6. 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.
    7. Shr, Yau-Huo & Ready, Richard C. & Orland, Brian & Echols, Stuart, 2017. "Do Visual Representations Influence Survey Responses? Evidence from a Choice Experiment on Landscape Attributes of Green Infrastructure," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258397, Agricultural and Applied Economics Association.
    8. Espinosa-Goded, María & Rodriguez-Entrena, Macario & Salazar-Ordóñez, Melania, 2021. "A straightforward diagnostic tool to identify attribute non-attendance in discrete choice experiments," Economic Analysis and Policy, Elsevier, vol. 71(C), pages 211-226.
    9. Sebastian Heidenreich & Verity Watson & Mandy Ryan & Euan Phimister, 2018. "Decision heuristic or preference? Attribute non‐attendance in discrete choice problems," Health Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 157-171, January.
    10. Aljona Karlõševa & Sulev Nõmmann & Tea Nõmmann & Evelin Urbel-Piirsalu & Wiktor Budzinski & Mikolaj Czajkowski & Nick Hanley, 2015. "Marine trade-offs: comparing the benefits of off-shore wind farms and marine protected areas," Discussion Papers in Environment and Development Economics 2015-14, University of St. Andrews, School of Geography and Sustainable Development.
    11. Meginnis, Keila & Campbell, Danny, 2017. "Students’ preferences for attributes of postgraduate economics modules: Evidence from a multi-profile best-worst scaling survey," International Review of Economics Education, Elsevier, vol. 24(C), pages 18-27.
    12. Kemper, Nathan & Popp, Jennie & Nayga, Jr., Rodolfo M. & Bazzani, Claudia, 2024. "A Query Approach to Modeling Attendance to Attributes in Discrete Choice Experiments," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 0(Preprint), January.
    13. Shr, Yau-Huo (Jimmy) & Ready, Richard & Orland, Brian & Echols, Stuart, 2019. "How Do Visual Representations Influence Survey Responses? Evidence from a Choice Experiment on Landscape Attributes of Green Infrastructure," Ecological Economics, Elsevier, vol. 156(C), pages 375-386.
    14. Seda Erdem & Danny Campbell & Arne Risa Hole, 2015. "Accounting for Attribute‐Level Non‐Attendance in a Health Choice Experiment: Does it Matter?," Health Economics, John Wiley & Sons, Ltd., vol. 24(7), pages 773-789, July.
    15. Yangui, A. & Akaichi, F. & Gil, J.M., 2018. "Investigating attribute non-attendance effects in conjoint analysis methods performance: Choice experiment, ranking conjoint analysis and best worst scaling," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 275989, International Association of Agricultural Economists.
    16. Hole, Arne Risa & Kolstad, Julie Riise & Gyrd-Hansen, Dorte, 2013. "Inferred vs. stated attribute non-attendance in choice experiments: A study of doctors’ prescription behaviour," Journal of Economic Behavior & Organization, Elsevier, vol. 96(C), pages 21-31.
    17. Espinosa, Maria & Rodriguez, Macario & Madureira, Livia Maria Costa & Santos, Jose Lima & Gomez y Paloma, Sergio, 2014. "Are models and respondents talking the same language: evidence from stated and inferred discontinuous preferences in a choice experiment valuing public goods?," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182668, European Association of Agricultural Economists.
    18. Owusu, V., 2018. "Credit-Constraints and Preferences for Crop Insurance in Ghana: Implications of Attribute Non-Attendance in Discrete Choice Experiments," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 276967, International Association of Agricultural Economists.
    19. Akshay Vij & Rico Krueger, 2018. "Random taste heterogeneity in discrete choice models: Flexible nonparametric finite mixture distributions," Papers 1802.02299, arXiv.org.
    20. Stephane Hess, 2014. "Latent class structures: taste heterogeneity and beyond," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 14, pages 311-330, Edward Elgar Publishing.
    21. Erdem, Seda & Campbell, Danny & Thompson, Carl, 2014. "Elimination and selection by aspects in health choice experiments: Prioritising health service innovations," Journal of Health Economics, Elsevier, vol. 38(C), pages 10-22.
    22. Erlend Dancke Sandorf, 2019. "Did You Miss Something? Inattentive Respondents in Discrete Choice Experiments," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 73(4), pages 1197-1235, August.
    23. Dalemans, Floris & Muys, Bart & Verwimp, Anne & Van den Broeck, Goedele & Bohra, Babita & Sharma, Navin & Gowda, Balakrishna & Tollens, Eric & Maertens, Miet, 2018. "Redesigning oilseed tree biofuel systems in India," Energy Policy, Elsevier, vol. 115(C), pages 631-643.
    24. Jensen, Anne Kejser, 2019. "A Structured Approach to Attribute Selection in Economic Valuation Studies: Using Q-methodology," Ecological Economics, Elsevier, vol. 166(C), pages 1-1.
    25. Mara Thiene & Riccardo Scarpa & Jordan Louviere, 2015. "Addressing Preference Heterogeneity, Multiple Scales and Attribute Attendance with a Correlated Finite Mixing Model of Tap Water Choice," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 62(3), pages 637-656, November.
    26. Daniel R. Petrolia & Matthew G. Interis & Joonghyun Hwang, 2018. "Single-Choice, Repeated-Choice, and Best-Worst Scaling Elicitation Formats: Do Results Differ and by How Much?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 69(2), pages 365-393, February.
    27. Arne Risa Hole & Richard Norman & Rosalie Viney, 2016. "Response Patterns in Health State Valuation Using Endogenous Attribute Attendance and Latent Class Analysis," Health Economics, John Wiley & Sons, Ltd., vol. 25(2), pages 212-224, February.
    28. Mørkbak, Morten Raun & Olsen, Søren Bøye & Campbell, Danny, 2014. "Behavioral implications of providing real incentives in stated choice experiments," Journal of Economic Psychology, Elsevier, vol. 45(C), pages 102-116.
    29. Campbell, Danny & Erdem, Seda, 2014. "Position bias in best-worst scaling surveys: a case study on trust in institutions," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 177167, Agricultural and Applied Economics Association.
    30. David Hensher & Andrew Collins & William Greene, 2013. "Accounting for attribute non-attendance and common-metric aggregation in a probabilistic decision process mixed multinomial logit model: a warning on potential confounding," Transportation, Springer, vol. 40(5), pages 1003-1020, September.
    31. Yegoryan, Narine & Guhl, Daniel & Klapper, Daniel, 2020. "Inferring attribute non-attendance using eye tracking in choice-based conjoint analysis," Journal of Business Research, Elsevier, vol. 111(C), pages 290-304.
    32. Sandorf, Erlend Dancke & Campbell, Danny & Hanley, Nick, 2017. "Disentangling the influence of knowledge on attribute non-attendance," Journal of choice modelling, Elsevier, vol. 24(C), pages 36-50.
    33. Colombo, Sergio & Christie, Michael & Hanley, Nick, 2013. "What are the consequences of ignoring attributes in choice experiments? Implications for ecosystem service valuation," Ecological Economics, Elsevier, vol. 96(C), pages 25-35.
    34. Grammatikopoulou, Ioanna & Pouta, Eija & Artell, Janne, 2019. "Heterogeneity and attribute non-attendance in preferences for peatland conservation," Forest Policy and Economics, Elsevier, vol. 104(C), pages 45-55.
    35. Marije Schaafsma & Roy Brouwer, 2020. "Substitution Effects in Spatial Discrete Choice Experiments," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 75(2), pages 323-349, February.
    36. Erdem, Seda & Campbell, Danny & Thompson, Carl, 2014. "Addressing elimination and selection by aspects decision rules in discrete choice experiments: does it matter?," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 169839, Agricultural and Applied Economics Association.
    37. Glenk, Klaus & Meyerhoff, Jürgen & Akaichi, Faical & Martin-Ortega, Julia, 2019. "Revisiting cost vector effects in discrete choice experiments," Resource and Energy Economics, Elsevier, vol. 57(C), pages 135-155.
    38. Lewis, David & Dundas, Steven J. & Kling, David & Lew, Daniel K. & Hacker, Sally, 2018. "Public preferences for natural capital investments that help threatened species: The case of Oregon Coast Coho salmon," 2018 Annual Meeting, August 5-7, Washington, D.C. 274027, Agricultural and Applied Economics Association.
    39. Contu, Davide & Strazzera, Elisabetta, 2022. "Testing for saliency-led choice behavior in discrete choice modeling: An application in the context of preferences towards nuclear energy in Italy," Journal of choice modelling, Elsevier, vol. 44(C).
    40. Rakotonarivo, O. Sarobidy & Jacobsen, Jette B. & Larsen, Helle O. & Jones, Julia P.G. & Nielsen, Martin R. & Ramamonjisoa, Bruno S. & Mandimbiniaina, Rina H. & Hockley, Neal, 2017. "Qualitative and Quantitative Evidence on the True Local Welfare Costs of Forest Conservation in Madagascar: Are Discrete Choice Experiments a Valid ex ante Tool?," World Development, Elsevier, vol. 94(C), pages 478-491.
    41. Anoek Castelein & Dennis Fok & Richard Paap, 2020. "Heterogeneous variable selection in nonlinear panel data models: A semiparametric Bayesian approach," Tinbergen Institute Discussion Papers 20-061/III, Tinbergen Institute.
    42. Yegoryan, Narine & Guhl, Daniel & Klapper, Daniel, 2018. "Inferring Attribute Non-Attendance Using Eye Tracking in Choice-Based Conjoint Analysis," Rationality and Competition Discussion Paper Series 111, CRC TRR 190 Rationality and Competition.
    43. Rico Krueger & Akshay Vij & Taha H. Rashidi, 2018. "A Dirichlet Process Mixture Model of Discrete Choice," Papers 1801.06296, arXiv.org.
    44. Chen, Xuqi & Shen, Meng & Gao, Zhifeng, 2017. "Impact of Intra-respondent Variations in Attribute Attendance on Consumer Preference in Food Choice," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258509, Agricultural and Applied Economics Association.
    45. 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).
    46. Weller, Priska & Oehlmann, Malte & Mariel, Petr & Meyerhoff, Jürgen, 2014. "Stated and inferred attribute non-attendance in a design of designs approach," Journal of choice modelling, Elsevier, vol. 11(C), pages 43-56.
    47. Rocamora, Beatriz & Colombo, Sergio & Glenk, Klaus, 2014. "El impacto de las respuestas inconsistentes en las medidas de bienestar estimadas con el método del experimento de elección," Economia Agraria y Recursos Naturales, Spanish Association of Agricultural Economists, vol. 14(02), pages 1-22, December.
    48. Sandorf, Erlend Dancke & Crastes dit Sourd, Romain & Mahieu, Pierre-Alexandre, 2018. "The effect of attribute-alternative matrix displays on preferences and processing strategies," Journal of choice modelling, Elsevier, vol. 29(C), pages 113-132.
    49. Rodríguez-Entrena, Macario & Villanueva, Anastasio J. & Gómez-Limón, José A., 2017. "The effect of attribute non-attendance on choice experiments investigating agri-environmental scheme design," 2017 International Congress, August 28-September 1, 2017, Parma, Italy 261417, European Association of Agricultural Economists.
    50. Lewis, David J. & Kling, David M. & Dundas, Steven J. & Lew, Daniel K., 2022. "Estimating the value of threatened species abundance dynamics," Journal of Environmental Economics and Management, Elsevier, vol. 113(C).
    51. Klaus Glenk & Julia Martin-Ortega & Manuel Pulido-Velazquez & Jacqueline Potts, 2015. "Inferring Attribute Non-attendance from Discrete Choice Experiments: Implications for Benefit Transfer," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 60(4), pages 497-520, April.
    52. Magor, Thomas J. & Coote, Leonard V., 2014. "Latent variables as a proxy for inherent preferences: A test of antecedent volition," Journal of choice modelling, Elsevier, vol. 13(C), pages 24-36.
    53. Smeele, Nicholas V.R. & Chorus, Caspar G. & Schermer, Maartje H.N. & de Bekker-Grob, Esther W., 2023. "Towards machine learning for moral choice analysis in health economics: A literature review and research agenda," Social Science & Medicine, Elsevier, vol. 326(C).

  15. Hess, Stephane & Stathopoulos, Amanda, 2013. "A mixed random utility — Random regret model linking the choice of decision rule to latent character traits," Journal of choice modelling, Elsevier, vol. 9(C), pages 27-38.

    Cited by:

    1. Sanjana Hossain & Md. Sami Hasnine & Khandker Nurul Habib, 2021. "A latent class joint mode and departure time choice model for the Greater Toronto and Hamilton Area," Transportation, Springer, vol. 48(3), pages 1217-1239, June.
    2. Lim, Jooyoung & Hahn, Minhi, 2020. "Regulatory focus and decision rules: Are prevention-focused consumers regret minimizers?," Journal of Business Research, Elsevier, vol. 120(C), pages 343-350.
    3. Laura-Lucia Richter & Melvyn Weeks, 2016. "Flexible Mixed Logit with Posterior Analysis: Exploring Willingness-to-Pay for Grid Resilience," Cambridge Working Papers in Economics 1631, Faculty of Economics, University of Cambridge.
    4. Lee, Jae Hyun & Davis, Adam W. & Goulias, Konstadinos G., 2017. "Triggers of behavioral change: Longitudinal analysis of travel behavior, household composition and spatial characteristics of the residence," Journal of choice modelling, Elsevier, vol. 24(C), pages 4-21.
    5. Peng Jing & Mengxuan Zhao & Meiling He & Long Chen, 2018. "Travel Mode and Travel Route Choice Behavior Based on Random Regret Minimization: A Systematic Review," Sustainability, MDPI, vol. 10(4), pages 1-20, April.
    6. Yanan Gao & Soora Rasouli & Harry Timmermans & Yuanqing Wang, 2024. "A latent class structural equation model of the relationship between travel satisfaction and overall life satisfaction controlling for satisfaction with other life domains," Transportation, Springer, vol. 51(1), pages 193-213, February.
    7. Carlo Giacomo Prato & Katrín Halldórsdóttir & Otto Anker Nielsen, 2017. "Latent lifestyle and mode choice decisions when travelling short distances," Transportation, Springer, vol. 44(6), pages 1343-1363, November.
    8. Hancock, Thomas O. & Hess, Stephane & Choudhury, Charisma F., 2018. "Decision field theory: Improvements to current methodology and comparisons with standard choice modelling techniques," Transportation Research Part B: Methodological, Elsevier, vol. 107(C), pages 18-40.
    9. Chorus, Caspar G. & Kroesen, Maarten, 2014. "On the (im-)possibility of deriving transport policy implications from hybrid choice models," Transport Policy, Elsevier, vol. 36(C), pages 217-222.
    10. Chorus, Caspar & van Cranenburgh, Sander & Dekker, Thijs, 2014. "Random regret minimization for consumer choice modeling: Assessment of empirical evidence," Journal of Business Research, Elsevier, vol. 67(11), pages 2428-2436.
    11. Wiktor Budziński & Mikołaj Czajkowski, 2018. "Hybrid choice models vs. endogeneity of indicator variables: a Monte Carlo investigation," Working Papers 2018-21, Faculty of Economic Sciences, University of Warsaw.
    12. Marley, A.A.J. & Swait, J., 2017. "Goal-based models for discrete choice analysis," Transportation Research Part B: Methodological, Elsevier, vol. 101(C), pages 72-88.
    13. Teodóra Szép & Sander Cranenburgh & Caspar Chorus, 2024. "Moral rhetoric in discrete choice models: a Natural Language Processing approach," Quality & Quantity: International Journal of Methodology, Springer, vol. 58(1), pages 179-206, February.
    14. Richter, Laura-Lucia & Pollitt, Michael G., 2018. "Which smart electricity service contracts will consumers accept? The demand for compensation in a platform market," Energy Economics, Elsevier, vol. 72(C), pages 436-450.
    15. Gonzalez-Valdes, Felipe & Raveau, Sebastián, 2018. "Identifying the presence of heterogeneous discrete choice heuristics at an individual level," Journal of choice modelling, Elsevier, vol. 28(C), pages 28-40.
    16. John Buckell & Vrinda Vasavada & Sarah Wordsworth & Dean A. Regier & Matthew Quaife, 2022. "Utility maximization versus regret minimization in health choice behavior: Evidence from four datasets," Health Economics, John Wiley & Sons, Ltd., vol. 31(2), pages 363-381, February.
    17. 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.
    18. Haghani, Milad & Sarvi, Majid, 2019. "Laboratory experimentation and simulation of discrete direction choices: Investigating hypothetical bias, decision-rule effect and external validity based on aggregate prediction measures," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 134-157.
    19. Rico Krueger & Akshay Vij & Taha H. Rashidi, 2018. "Normative beliefs and modality styles: a latent class and latent variable model of travel behaviour," Transportation, Springer, vol. 45(3), pages 789-825, May.
    20. Hancock, Thomas O. & Hess, Stephane & Daly, Andrew & Fox, James, 2020. "Using a sequential latent class approach for model averaging: Benefits in forecasting and behavioural insights," Transportation Research Part A: Policy and Practice, Elsevier, vol. 139(C), pages 429-454.
    21. Kim, Jinhee & Rasouli, Soora & Timmermans, Harry, 2017. "Satisfaction and uncertainty in car-sharing decisions: An integration of hybrid choice and random regret-based models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 95(C), pages 13-33.
    22. Varotto, Silvia F. & Glerum, Aurélie & Stathopoulos, Amanda & Bierlaire, Michel & Longo, Giovanni, 2017. "Mitigating the impact of errors in travel time reporting on mode choice modelling," Journal of Transport Geography, Elsevier, vol. 62(C), pages 236-246.
    23. 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.
    24. Chorus, Caspar G., 2014. "A Generalized Random Regret Minimization model," Transportation Research Part B: Methodological, Elsevier, vol. 68(C), pages 224-238.
    25. Morlotti, Chiara & Birolini, Sebastian & Malighetti, Paolo & Redondi, Renato, 2023. "A latent class approach to estimate air travelers’ propensity toward connecting itineraries," Research in Transportation Economics, Elsevier, vol. 99(C).
    26. Caspar G Chorus, 2018. "Paving the way towards superstar destinations: Models of convex demand for quality," Environment and Planning B, , vol. 45(1), pages 161-179, January.
    27. van Cranenburgh, Sander & Guevara, Cristian Angelo & Chorus, Caspar G., 2015. "New insights on random regret minimization models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 74(C), pages 91-109.
    28. Joanna Mazur & Katarzyna Śledziewska & Damian Zieba, 2018. "Regulation of Geo-blocking: does it address the problem of low intraEU iTrade?," Working Papers 2018-20, Faculty of Economic Sciences, University of Warsaw.
    29. Gonzalez-Valdes, Felipe & Heydecker, Benjamin G. & Ortúzar, Juan de Dios, 2022. "Quantifying behavioural difference in latent class models to assess empirical identifiability: Analytical development and application to multiple heuristics," Journal of choice modelling, Elsevier, vol. 43(C).
    30. Hancock, Thomas O. & Hess, Stephane & Marley, A.A.J. & Choudhury, Charisma F., 2021. "An accumulation of preference: Two alternative dynamic models for understanding transport choices," Transportation Research Part B: Methodological, Elsevier, vol. 149(C), pages 250-282.
    31. Elisa Borowski & Amanda Stathopoulos, 2022. "Protection or Peril of Following the Crowd in a Pandemic-Concurrent Flood Evacuation," Papers 2202.00229, arXiv.org.

  16. Edoardo Marcucci & Amanda Stathopoulos & Valerio Gatta & Eva Valeri, 2012. "A Stated Ranking Experiment to Study Policy Acceptance: The Case of Freight Operators in Rome?s LTZ," SCIENZE REGIONALI, FrancoAngeli Editore, vol. 2012(3), pages 11-30.

    Cited by:

    1. Jesus Gonzalez-Feliu & Joelle Morana & Josep-Maria Salanova Grau & Tai-Yu Ma, 2013. "Design And Scenario Assessment For Collaborative Logistics And Freight Transport Systems," Articles, International Journal of Transport Economics, vol. 40(2).
    2. 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.
    3. Marcucci, Edoardo & Gatta, Valerio, 2017. "Investigating the potential for off-hour deliveries in the city of Rome: Retailers’ perceptions and stated reactions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 102(C), pages 142-156.
    4. Marcucci, Edoardo & Le Pira, Michela & Gatta, Valerio & Inturri, Giuseppe & Ignaccolo, Matteo & Pluchino, Alessandro, 2017. "Simulating participatory urban freight transport policy-making: Accounting for heterogeneous stakeholders’ preferences and interaction effects," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 103(C), pages 69-86.
    5. Gatta, Valerio & Marcucci, Edoardo, 2014. "Urban freight transport and policy changes: Improving decision makers' awareness via an agent-specific approach," Transport Policy, Elsevier, vol. 36(C), pages 248-252.
    6. 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.
    7. dell’Olio, Luigi & Moura, Jose Luis & Ibeas, Angel & Cordera, Ruben & Holguin-Veras, Jose, 2017. "Receivers’ willingness-to-adopt novel urban goods distribution practices," Transportation Research Part A: Policy and Practice, Elsevier, vol. 102(C), pages 130-141.
    8. Le Pira, Michela & Marcucci, Edoardo & Gatta, Valerio, 2021. "Roman holiday: Tourist heterogeneous preferences for walking path elements," Research in Transportation Economics, Elsevier, vol. 90(C).
    9. Eren Akyol, Derya & De Koster, René B.M., 2018. "Determining time windows in urban freight transport: A city cooperative approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 118(C), pages 34-50.

  17. Stathopoulos, Amanda & Valeri, Eva & Marcucci, Edoardo, 2012. "Stakeholder reactions to urban freight policy innovation," Journal of Transport Geography, Elsevier, vol. 22(C), pages 34-45.

    Cited by:

    1. Lindawati & Johan van Schagen & Mark Goh & Robert de Souza, 2014. "Collaboration in urban logistics: motivations and barriers," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 18(2), pages 278-290, July.
    2. Amaya, Johanna & Arellana, Julian & Delgado-Lindeman, Maira, 2020. "Stakeholders perceptions to sustainable urban freight policies in emerging markets," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 329-348.
    3. Boggio-Marzet, Alessandra & Villa-Martínez, Rafael & Monzón, Andrés, 2023. "Selection of policy actions for e-commerce last-mile delivery in cities: An online multi-actor multi-criteria evaluation," Transport Policy, Elsevier, vol. 142(C), pages 15-27.
    4. Fulzele, Vijayta & Shankar, Ravi, 2022. "Improving freight transportation performance through sustainability best practices," Transportation Research Part A: Policy and Practice, Elsevier, vol. 165(C), pages 285-299.
    5. Marta Viu-Roig & Eduard J. Alvarez-Palau, 2020. "The Impact of E-Commerce-Related Last-Mile Logistics on Cities: A Systematic Literature Review," Sustainability, MDPI, vol. 12(16), pages 1-19, August.
    6. Ballantyne, Erica E.F. & Lindholm, Maria & Whiteing, Anthony, 2013. "A comparative study of urban freight transport planning: addressing stakeholder needs," Journal of Transport Geography, Elsevier, vol. 32(C), pages 93-101.
    7. Taiwo Adetiloye, 2021. "Collaboration Planning of Stakeholders for Sustainable City Logistics Operations," Papers 2107.14049, arXiv.org.
    8. Cruz-Daraviña, Paola Andrea & Bocarejo Suescún, Juan Pablo, 2021. "Freight operations in city centers: A land use conflict in urban planning," Land Use Policy, Elsevier, vol. 108(C).
    9. Cherrett, Tom & Allen, Julian & McLeod, Fraser & Maynard, Sarah & Hickford, Adrian & Browne, Mike, 2012. "Understanding urban freight activity – key issues for freight planning," Journal of Transport Geography, Elsevier, vol. 24(C), pages 22-32.
    10. Dapeng Zhang & Xiaokun Wang & José Holguín-Veras & Wei Zou, 2019. "Investigation of carriers’ ability to transfer toll increases: an empirical analysis of freight agents’ relative market power," Transportation, Springer, vol. 46(6), pages 2291-2308, December.
    11. Cindy Guerlain & Samuel Renault & Francesco Ferrero & Sébastien Faye, 2019. "Decision Support Systems for Smarter and Sustainable Logistics of Construction Sites," Sustainability, MDPI, vol. 11(10), pages 1-22, May.
    12. Abel Kebede Reda & Girma Gebresenbet & Lori Tavasszy & David Ljungberg, 2020. "Identification of the Regional and Economic Contexts of Sustainable Urban Logistics Policies," Sustainability, MDPI, vol. 12(20), pages 1-19, October.
    13. Aljohani, Khalid & Thompson, Russell G., 2021. "Modelling individual preferences of goods receivers for a Receiver-led delivery consolidation service," Transportation Research Part A: Policy and Practice, Elsevier, vol. 150(C), pages 74-94.
    14. Holguín-Veras, José & Amaya Leal, Johanna & Seruya, Barbara B., 2017. "Urban freight policymaking: The role of qualitative and quantitative research," Transport Policy, Elsevier, vol. 56(C), pages 75-85.
    15. Maria Lindholm, 2013. "Urban freight transport from a local authority perspective – a literature review," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 54, pages 1-3.
    16. Vidal Vieira, José Geraldo & Fransoo, Jan C., 2015. "How logistics performance of freight operators is affected by urban freight distribution issues," Transport Policy, Elsevier, vol. 44(C), pages 37-47.
    17. Rafael Villa & Andrés Monzón, 2021. "Mobility Restrictions and E-Commerce: Holistic Balance in Madrid Centre during COVID-19 Lockdown," Economies, MDPI, vol. 9(2), pages 1-19, April.
    18. Jagienka Rześny-Cieplińska & Agnieszka Szmelter-Jarosz, 2019. "Assessment of the Crowd Logistics Solutions—The Stakeholders’ Analysis Approach," Sustainability, MDPI, vol. 11(19), pages 1-26, September.
    19. Bjørgen, Astrid & Seter, Hanne & Kristensen, Terje & Pitera, Kelly, 2019. "The potential for coordinated logistics planning at the local level: A Norwegian in-depth study of public and private stakeholders," Journal of Transport Geography, Elsevier, vol. 76(C), pages 34-41.
    20. Akgün, Emine Zehra & Monios, Jason & Rye, Tom & Fonzone, Achille, 2019. "Influences on urban freight transport policy choice by local authorities," Transport Policy, Elsevier, vol. 75(C), pages 88-98.
    21. Comi, Antonio, 2020. "A modelling framework to forecast urban goods flows," Research in Transportation Economics, Elsevier, vol. 80(C).
    22. Edoardo Marcucci, Amanda Stathopoulos, Romeo Danielis, 2012. "Urban freight policies and tourism. The case of own-account operators in Rome�s limited traffic zone," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 66(2), pages 121-139.
    23. Agnieszka Szmelter-Jarosz & Jagienka Rześny-Cieplińska, 2019. "Priorities of Urban Transport System Stakeholders According to Crowd Logistics Solutions in City Areas. A Sustainability Perspective," Sustainability, MDPI, vol. 12(1), pages 1-19, December.
    24. Francesco Ciardiello & Andrea Genovese & Shucheng Luo & Antonino Sgalambro, 2023. "A game-theoretic multi-stakeholder model for cost allocation in urban consolidation centres," Annals of Operations Research, Springer, vol. 324(1), pages 663-686, May.
    25. Osorio-Tejada, Jose Luis & Llera-Sastresa, Eva & Scarpellini, Sabina, 2017. "Liquefied natural gas: Could it be a reliable option for road freight transport in the EU?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 785-795.
    26. Marcucci, Edoardo & Le Pira, Michela & Gatta, Valerio & Inturri, Giuseppe & Ignaccolo, Matteo & Pluchino, Alessandro, 2017. "Simulating participatory urban freight transport policy-making: Accounting for heterogeneous stakeholders’ preferences and interaction effects," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 103(C), pages 69-86.
    27. Rafael Grosso & Jesús Muñuzuri & Alejandro Escudero-Santana & Elena Barbadilla-Martín, 2018. "Mathematical Formulation and Comparison of Solution Approaches for the Vehicle Routing Problem with Access Time Windows," Complexity, Hindawi, vol. 2018, pages 1-10, February.
    28. Alena Brettmo & Jon Williamsson, 2020. "The Role of ‘Influencers’ as Drivers of a More Sustainable Urban Freight Sector," Sustainability, MDPI, vol. 12(7), pages 1-17, April.
    29. Priscila Pereira Suzart Carvalho & Ricardo Araújo Kalid & Jorge Laureano Moya Rodríguez & Sandro Breval Santiago, 2019. "Interactions among stakeholders in the processes of city logistics: a systematic review of the literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(2), pages 567-607, August.
    30. Elpida Xenou & Michael Madas & Georgia Ayfandopoulou, 2022. "Developing a Smart City Logistics Assessment Framework (SCLAF): A Conceptual Tool for Identifying the Level of Smartness of a City Logistics System," Sustainability, MDPI, vol. 14(10), pages 1-18, May.
    31. Viet, Nguyen Quoc & Behdani, Behzad & Bloemhof, Jacqueline, 2018. "Value of Information to Improve Daily Operations in High-Density Logistics," International Journal on Food System Dynamics, International Center for Management, Communication, and Research, vol. 9(1), January.
    32. Gatta, Valerio & Marcucci, Edoardo, 2014. "Urban freight transport and policy changes: Improving decision makers' awareness via an agent-specific approach," Transport Policy, Elsevier, vol. 36(C), pages 248-252.
    33. Arvidsson, Niklas, 2013. "The milk run revisited: A load factor paradox with economic and environmental implications for urban freight transport," Transportation Research Part A: Policy and Practice, Elsevier, vol. 51(C), pages 56-62.
    34. Ewa Stawiarska & Paweł Sobczak, 2018. "The Impact of Intelligent Transportation System Implementations on the Sustainable Growth of Passenger Transport in EU Regions," Sustainability, MDPI, vol. 10(5), pages 1-32, April.
    35. Letnik, Tomislav & Marksel, Maršenka & Luppino, Giuseppe & Bardi, Andrea & Božičnik, Stane, 2018. "Review of policies and measures for sustainable and energy efficient urban transport," Energy, Elsevier, vol. 163(C), pages 245-257.
    36. Vidal Vieira, José Geraldo & Ramirez Navarro, Hector Angel & Fransoo, Jan C., 2021. "Understanding urban logistics and consumer behavior in São Paulo city," Other publications TiSEM 26630a72-a59e-4502-ab56-c, Tilburg University, School of Economics and Management.
    37. Odile Chanut & Gilles Paché, 2012. "Integrating 3PL in urban logistics organization," Post-Print hal-01771842, HAL.
    38. Francesco Russo & Antonio Comi, 2020. "Investigating the Effects of City Logistics Measures on the Economy of the City," Sustainability, MDPI, vol. 12(4), pages 1-11, February.
    39. Katarzyna Dohn & Marzena Kramarz & Edyta Przybylska, 2022. "Interaction with City Logistics Stakeholders as a Factor of the Development of Polish Cities on the Way to Becoming Smart Cities," Energies, MDPI, vol. 15(11), pages 1-24, June.
    40. Jagienka Rześny-Cieplińska & Agnieszka Szmelter-Jarosz, 2020. "Environmental Sustainability in City Logistics Measures," Energies, MDPI, vol. 13(6), pages 1-29, March.
    41. Boshuai Zhao & Juliang Zhang & Wenchao Wei, 2019. "Impact of Time Restriction and Logistics Sprawl on Urban Freight and Environment: The Case of Beijing Agricultural Freight," Sustainability, MDPI, vol. 11(13), pages 1-17, July.
    42. Jonathan Cowie & Keith Fisken, 2023. "Urban freight policy maturity and sustainable logistics: are they related?," Journal of Shipping and Trade, Springer, vol. 8(1), pages 1-17, December.
    43. Mepparambath, Rakhi Manohar & Cheah, Lynette & Courcoubetis, Costas, 2021. "A theoretical framework to evaluate the traffic impact of urban freight consolidation centres," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 145(C).
    44. Eren Akyol, Derya & De Koster, René B.M., 2018. "Determining time windows in urban freight transport: A city cooperative approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 118(C), pages 34-50.
    45. Demostenis Ramos Cassiano & Bruno Vieira Bertoncini & Leise Kelli de Oliveira, 2021. "A Conceptual Model Based on the Activity System and Transportation System for Sustainable Urban Freight Transport," Sustainability, MDPI, vol. 13(10), pages 1-13, May.
    46. Caspersen, Elise & Ørving, Tale & Tennøy, Aud, 2023. "Capacity reduction on urban main roads: How truck drivers adapted, and what effects and consequences they experienced," Transport Policy, Elsevier, vol. 130(C), pages 68-83.
    47. Vieira, José Geraldo Vidal & Fransoo, Jan C. & Carvalho, Carla Deguirmendjian, 2015. "Freight distribution in megacities: Perspectives of shippers, logistics service providers and carriers," Journal of Transport Geography, Elsevier, vol. 46(C), pages 46-54.
    48. Giulio Mangano & Giovanni Zenezini & Anna Corinna Cagliano, 2021. "Value Proposition for Sustainable Last-Mile Delivery. A Retailer Perspective," Sustainability, MDPI, vol. 13(7), pages 1-15, March.
    49. Konstantina Katsela & Michael Browne, 2019. "Importance of the Stakeholders’ Interaction: Comparative, Longitudinal Study of Two City Logistics Initiatives," Sustainability, MDPI, vol. 11(20), pages 1-17, October.
    50. Mohammad Zaher Akkad & Tamás Bányai, 2020. "Multi-Objective Approach for Optimization of City Logistics Considering Energy Efficiency," Sustainability, MDPI, vol. 12(18), pages 1-23, September.
    51. Jagienka Rześny-Cieplińska & Agnieszka Szmelter-Jarosz, 2021. "Stakeholders’ Analysis of Environmental Sustainability in Urban Logistics: A Case Study of Tricity, Poland," Energies, MDPI, vol. 14(5), pages 1-24, February.
    52. Sears, Sean & Moataz, Mohamed & Ferguson, Mark & Razavi, Saiedeh & Páez, Antonio, 2022. "Perceived barriers to the movement of goods in Canada: A grounded theory investigation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 162(C), pages 27-45.
    53. Alireza Ermagun & Ali Shamshiripour & Amanda Stathopoulos, 2020. "Performance analysis of crowd-shipping in urban and suburban areas," Transportation, Springer, vol. 47(4), pages 1955-1985, August.

  18. Stathopoulos, Amanda & Hess, Stephane, 2012. "Revisiting reference point formation, gains–losses asymmetry and non-linear sensitivities with an emphasis on attribute specific treatment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(10), pages 1673-1689.

    Cited by:

    1. 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.
    2. Abe, Makoto & Kaneko, Mitsuru, 2022. "Preference reversal: Analysis using construal level theory that incorporates discounting," Journal of choice modelling, Elsevier, vol. 45(C).
    3. Scott, Anthony & Witt, Julia, 2020. "Loss aversion, reference dependence and diminishing sensitivity in choice experiments," Journal of choice modelling, Elsevier, vol. 37(C).
    4. 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.
    5. Punel, Aymeric & Stathopoulos, Amanda, 2017. "Modeling the acceptability of crowdsourced goods deliveries: Role of context and experience effects," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 105(C), pages 18-38.
    6. Tatjana Ibraimovic & Stephane Hess, 2017. "Changes in the ethnic composition of neighbourhoods: Analysis of household's response and asymmetric preference structures," Papers in Regional Science, Wiley Blackwell, vol. 96(4), pages 759-784, November.
    7. Manuel Ojeda-Cabral & Stephane Hess & Richard Batley, 2018. "Understanding valuation of travel time changes: are preferences different under different stated choice design settings?," Transportation, Springer, vol. 45(1), pages 1-21, January.
    8. Wiktor Budziński, 2015. "The effects of non-constant marginal utility of cost for public goods valuation," Ekonomia journal, Faculty of Economic Sciences, University of Warsaw, vol. 43.
    9. Xu, Xiangdong & Chen, Anthony & Kitthamkesorn, Songyot & Yang, Hai & Lo, Hong K., 2015. "Modeling absolute and relative cost differences in stochastic user equilibrium problem," Transportation Research Part B: Methodological, Elsevier, vol. 81(P3), pages 686-703.
    10. Kouwenhoven, Marco & de Jong, Gerard, 2018. "Value of travel time as a function of comfort," Journal of choice modelling, Elsevier, vol. 28(C), pages 97-107.
    11. Hancock, Thomas O. & Hess, Stephane & Daly, Andrew & Fox, James, 2020. "Using a sequential latent class approach for model averaging: Benefits in forecasting and behavioural insights," Transportation Research Part A: Policy and Practice, Elsevier, vol. 139(C), pages 429-454.
    12. Neumann, Nico & Böckenholt, Ulf, 2014. "A Meta-analysis of Loss Aversion in Product Choice," Journal of Retailing, Elsevier, vol. 90(2), pages 182-197.
    13. Hess, Stephane & Stathopoulos, Amanda, 2013. "A mixed random utility — Random regret model linking the choice of decision rule to latent character traits," Journal of choice modelling, Elsevier, vol. 9(C), pages 27-38.
    14. Hongli Xu & Hai Yang & Jing Zhou & Yafeng Yin, 2017. "A Route Choice Model with Context-Dependent Value of Time," Transportation Science, INFORMS, vol. 51(2), pages 536-548, May.
    15. Yan Bao & Fangyu Chang & Jinkai Shi & Pengcheng Yin & Weige Zhang & David Wenzhong Gao, 2022. "An Approach for Pricing of Charging Service Fees in an Electric Vehicle Public Charging Station Based on Prospect Theory," Energies, MDPI, vol. 15(14), pages 1-20, July.
    16. Chorus, Caspar G., 2014. "A Generalized Random Regret Minimization model," Transportation Research Part B: Methodological, Elsevier, vol. 68(C), pages 224-238.
    17. Evangelinos, Christos & Tscharaktschiew, Stefan & Marcucci, Edoardo & Gatta, Valerio, 2018. "Pricing workplace parking via cash-out: Effects on modal choice and implications for transport policy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 113(C), pages 369-380.
    18. Hancock, Thomas O. & Broekaert, Jan & Hess, Stephane & Choudhury, Charisma F., 2020. "Quantum probability: A new method for modelling travel behaviour," Transportation Research Part B: Methodological, Elsevier, vol. 139(C), pages 165-198.
    19. Hancock, Thomas O. & Hess, Stephane & Marley, A.A.J. & Choudhury, Charisma F., 2021. "An accumulation of preference: Two alternative dynamic models for understanding transport choices," Transportation Research Part B: Methodological, Elsevier, vol. 149(C), pages 250-282.
    20. Caspar G. Chorus, 2014. "Capturing alternative decision rules in travel choice models: a critical discussion," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 13, pages 290-310, Edward Elgar Publishing.

  19. Stephane Hess & Amanda Stathopoulos & Andrew Daly, 2012. "Allowing for heterogeneous decision rules in discrete choice models: an approach and four case studies," Transportation, Springer, vol. 39(3), pages 565-591, May.

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    1. Shr, Yau-Huo Jimmy & Zhang, Wendong, 2021. "Does Omitting Downstream Water Quality Change the Economic Benefits of Nutrient Reduction Programs: Evidence from a Discrete Choice Experiment," 2021 Annual Meeting, August 1-3, Austin, Texas 313927, Agricultural and Applied Economics Association.
    2. Sanjana Hossain & Md. Sami Hasnine & Khandker Nurul Habib, 2021. "A latent class joint mode and departure time choice model for the Greater Toronto and Hamilton Area," Transportation, Springer, vol. 48(3), pages 1217-1239, June.
    3. Kim, Eui-Jin & Kim, Youngseo & Jang, Sunghoon & Kim, Dong-Kyu, 2021. "Tourists’ preference on the combination of travel modes under Mobility-as-a-Service environment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 150(C), pages 236-255.
    4. Joffre Swait & Fred Feinberg, 2014. "Deciding how to decide: an agenda for multi-stage choice modelling research in marketing," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 26, pages 649-660, Edward Elgar Publishing.
    5. 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.
    6. Erlend Dancke Sandorf & Danny Campbell, 2019. "Accommodating satisficing behaviour in stated choice experiments," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 46(1), pages 133-162.
    7. Boeri, Marco & Longo, Alberto, 2017. "The importance of regret minimization in the choice for renewable energy programmes: Evidence from a discrete choice experiment," Energy Economics, Elsevier, vol. 63(C), pages 253-260.
    8. 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.
    9. Thiene, Mara & Scarpa, Riccardo & Longo, Alberto & Hutchinson, William George, 2018. "Types of front of pack food labels: Do obese consumers care? Evidence from Northern Ireland," Food Policy, Elsevier, vol. 80(C), pages 84-102.
    10. 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.
    11. Balbontin, Camila & Hensher, David A. & Collins, Andrew T., 2019. "How to better represent preferences in choice models: The contributions to preference heterogeneity attributable to the presence of process heterogeneity," Transportation Research Part B: Methodological, Elsevier, vol. 122(C), pages 218-248.
    12. Carlo Giacomo Prato & Katrín Halldórsdóttir & Otto Anker Nielsen, 2017. "Latent lifestyle and mode choice decisions when travelling short distances," Transportation, Springer, vol. 44(6), pages 1343-1363, November.
    13. de Moraes Ramos, Giselle & Daamen, Winnie & Hoogendoorn, Serge, 2013. "Modelling travellers' heterogeneous route choice behaviour as prospect maximizers," Journal of choice modelling, Elsevier, vol. 6(C), pages 17-33.
    14. Prateek Bansal & Daniel Hörcher & Daniel J. Graham, 2022. "A dynamic choice model to estimate the user cost of crowding with large‐scale transit data," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(2), pages 615-639, April.
    15. Kim, Kyungah & Moon, Sungho & Kim, Junghun, 2023. "How far is it from your home? Strategic policy and management to overcome barriers of introducing fuel-cell power generation facilities," Energy Policy, Elsevier, vol. 182(C).
    16. 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.
    17. Jourdain, Damien & Lairez, Juliette & Striffler, Bruno & Lundhede, Thomas, 2022. "A choice experiment approach to evaluate maize farmers’ decision-making processes in Lao PDR," Journal of choice modelling, Elsevier, vol. 44(C).
    18. Liebe, Ulf & Glenk, Klaus & Oehlmann, Malte & Meyerhoff, Jürgen, 2015. "Does the use of mobile devices (tablets and smartphones) affect survey quality and choice behaviour in web surveys?," Journal of choice modelling, Elsevier, vol. 14(C), pages 17-31.
    19. Balbontin, Camila & Hensher, David A. & Collins, Andrew T., 2017. "Integrating attribute non-attendance and value learning with risk attitudes and perceptual conditioning," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 97(C), pages 172-191.
    20. 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.
    21. Jang, Sungsoon & Choi, Jae Young, 2021. "Which consumer attributes will act crucial roles for the fast market adoption of electric vehicles?: Estimation on the asymmetrical & heterogeneous consumer preferences on the EVs," Energy Policy, Elsevier, vol. 156(C).
    22. Chorus, Caspar & van Cranenburgh, Sander & Dekker, Thijs, 2014. "Random regret minimization for consumer choice modeling: Assessment of empirical evidence," Journal of Business Research, Elsevier, vol. 67(11), pages 2428-2436.
    23. Boeri, Marco & Scarpa, Riccardo & Chorus, Caspar G., 2014. "Stated choices and benefit estimates in the context of traffic calming schemes: Utility maximization, regret minimization, or both?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 61(C), pages 121-135.
    24. 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.
    25. Kim, Junghun & Lee, Hyunjoo & Lee, Jongsu, 2020. "Smartphone preferences and brand loyalty: A discrete choice model reflecting the reference point and peer effect," Journal of Retailing and Consumer Services, Elsevier, vol. 52(C).
    26. Stephane Hess, 2014. "Latent class structures: taste heterogeneity and beyond," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 14, pages 311-330, Edward Elgar Publishing.
    27. Gonzalez-Valdes, Felipe & Raveau, Sebastián, 2018. "Identifying the presence of heterogeneous discrete choice heuristics at an individual level," Journal of choice modelling, Elsevier, vol. 28(C), pages 28-40.
    28. Erdem, Seda & Campbell, Danny & Thompson, Carl, 2014. "Elimination and selection by aspects in health choice experiments: Prioritising health service innovations," Journal of Health Economics, Elsevier, vol. 38(C), pages 10-22.
    29. Daniel, Aemiro Melkamu, 2020. "Towards Sustainable Energy Consumption Electricity Demand Flexibility and Household Fuel Choice," Umeå Economic Studies 971, Umeå University, Department of Economics.
    30. Kim, Junghun & Park, Stephen Youngjun & Lee, Jongsu, 2018. "Do people really want renewable energy? Who wants renewable energy?: Discrete choice model of reference-dependent preference in South Korea," Energy Policy, Elsevier, vol. 120(C), pages 761-770.
    31. John Buckell & Vrinda Vasavada & Sarah Wordsworth & Dean A. Regier & Matthew Quaife, 2022. "Utility maximization versus regret minimization in health choice behavior: Evidence from four datasets," Health Economics, John Wiley & Sons, Ltd., vol. 31(2), pages 363-381, February.
    32. Hensher, David A. & Balbontin, Camila & Collins, Andrew T., 2018. "Heterogeneity in decision processes: Embedding extremeness aversion, risk attitude and perceptual conditioning in multiple process rules choice making," Transportation Research Part A: Policy and Practice, Elsevier, vol. 111(C), pages 316-325.
    33. Robert Ishaq & Shlomo Bekhor & Yoram Shiftan, 2013. "A flexible model structure approach for discrete choice models," Transportation, Springer, vol. 40(3), pages 609-624, May.
    34. 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.
    35. David Hensher & Andrew Collins & William Greene, 2013. "Accounting for attribute non-attendance and common-metric aggregation in a probabilistic decision process mixed multinomial logit model: a warning on potential confounding," Transportation, Springer, vol. 40(5), pages 1003-1020, September.
    36. Shr, Yau-Huo (Jimmy) & Zhang, Wendong, 2021. "Does Omitting Downstream Water Quality Change the Economic Benefits of Nutrient Reduction? Evidence from a Discrete Choice Experiment," ISU General Staff Papers 202101010800001067, Iowa State University, Department of Economics.
    37. Caspar G. Chorus & Sander Cranenburgh, 2018. "Specification of regret-based models of choice behaviour: formal analyses and experimental design based evidence—commentary," Transportation, Springer, vol. 45(1), pages 247-256, January.
    38. Thiene, Mara & Meyerhoff, Jürgen & De Salvo, Maria, 2012. "Scale and taste heterogeneity for forest biodiversity: Models of serial nonparticipation and their effects," Journal of Forest Economics, Elsevier, vol. 18(4), pages 355-369.
    39. Damien Jourdain & Juliette Lairez & Bruno Striffler & François Affholder, 2020. "Farmers’ preference for cropping systems and the development of sustainable intensification: a choice experiment approach," Review of Agricultural, Food and Environmental Studies, Springer, vol. 101(4), pages 417-437, December.
    40. Mahmud, Asif & Gayah, Vikash V. & Paleti, Rajesh, 2022. "A latent choice model to analyze the role of preliminary preferences in shaping observed choices," Transportation Research Part B: Methodological, Elsevier, vol. 161(C), pages 95-108.
    41. 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.
    42. Erdem, Seda & Campbell, Danny & Thompson, Carl, 2014. "Addressing elimination and selection by aspects decision rules in discrete choice experiments: does it matter?," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 169839, Agricultural and Applied Economics Association.
    43. Chorus, Caspar G., 2012. "Logsums for utility-maximizers and regret-minimizers, and their relation with desirability and satisfaction," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(7), pages 1003-1012.
    44. Batley, Richard & Hess, Stephane, 2016. "Testing for regularity and stochastic transitivity using the structural parameter of nested logit," Transportation Research Part B: Methodological, Elsevier, vol. 93(PA), pages 355-376.
    45. Sunghoon Jang & Soora Rasouli & Harry Timmermans, 2017. "Incorporating psycho-physical mapping into random regret choice models: model specifications and empirical performance assessments," Transportation, Springer, vol. 44(5), pages 999-1019, September.
    46. Sanko, Nobuhiro & Hess, Stephane & Dumont, Jeffrey & Daly, Andrew, 2014. "Contrasting imputation with a latent variable approach to dealing with missing income in choice models," Journal of choice modelling, Elsevier, vol. 12(C), pages 47-57.
    47. Contu, Davide & Strazzera, Elisabetta, 2022. "Testing for saliency-led choice behavior in discrete choice modeling: An application in the context of preferences towards nuclear energy in Italy," Journal of choice modelling, Elsevier, vol. 44(C).
    48. 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).
    49. Hancock, Thomas O. & Hess, Stephane & Daly, Andrew & Fox, James, 2020. "Using a sequential latent class approach for model averaging: Benefits in forecasting and behavioural insights," Transportation Research Part A: Policy and Practice, Elsevier, vol. 139(C), pages 429-454.
    50. Han, Yafei & Pereira, Francisco Camara & Ben-Akiva, Moshe & Zegras, Christopher, 2022. "A neural-embedded discrete choice model: Learning taste representation with strengthened interpretability," Transportation Research Part B: Methodological, Elsevier, vol. 163(C), pages 166-186.
    51. Kim, Jinhee & Rasouli, Soora & Timmermans, Harry, 2017. "Satisfaction and uncertainty in car-sharing decisions: An integration of hybrid choice and random regret-based models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 95(C), pages 13-33.
    52. van Cranenburgh, Sander & Meyerhoff, Jürgen & Rehdanz, Katrin & Wunsch, Andrea, 2024. "On the impact of decision rule assumptions in experimental designs on preference recovery: An application to climate change adaptation measures," Open Access Publications from Kiel Institute for the World Economy 281987, Kiel Institute for the World Economy (IfW Kiel).
    53. Jourdain, Damien & Lairez, Juliette & Striffler, Bruno & Affholder, François, 2020. "Farmers’ preference for cropping systems and the development of sustainable intensification: a choice experiment approach," Review of Agricultural, Food and Environmental Studies, Institut National de la Recherche Agronomique (INRA), vol. 101(4), March.
    54. 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.
    55. Balbontin, Camila & Hensher, David A. & Collins, Andrew T., 2017. "Is there a systematic relationship between random parameters and process heuristics?," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 106(C), pages 160-177.
    56. Hess, Stephane & Stathopoulos, Amanda, 2013. "A mixed random utility — Random regret model linking the choice of decision rule to latent character traits," Journal of choice modelling, Elsevier, vol. 9(C), pages 27-38.
    57. Iain Embrey, 2017. "States of Nature and States of Mind: A Generalised Theory of Decision-Making, evaluated by application to Human Capital Development," Working Papers 209919485, Lancaster University Management School, Economics Department.
    58. 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.
    59. 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.
    60. Follett, Lendie & Naald, Brian Vander, 2023. "Heterogeneity in choice experiment data: A Bayesian investigation," Journal of choice modelling, Elsevier, vol. 46(C).
    61. Thiene, Mara & Scarpa, Riccardo & Longo, Alberto & Hutchinson, George, "undated". "Front of Pack Food Labels and dietary choice determinants: what works and for whom?," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 261225, Agricultural and Applied Economics Association.
    62. Chorus, Caspar G., 2014. "A Generalized Random Regret Minimization model," Transportation Research Part B: Methodological, Elsevier, vol. 68(C), pages 224-238.
    63. Kazagli, Evanthia & de Lapparent, Matthieu, 2023. "A discrete choice modeling framework of heterogenous decision rules accounting for non-trading behavior," Journal of choice modelling, Elsevier, vol. 48(C).
    64. Alexandros Dimitropoulos & Jos N. van Ommeren & Paul Koster & Piet Rietveld†, 2014. "Welfare Effects of Distortionary Tax Incentives under Preference Heterogeneity: An Application to Employer-provided Electric Cars," Tinbergen Institute Discussion Papers 14-064/VIII, Tinbergen Institute.
    65. Woojae Kim & Sungmin Ko & Myoungjin Oh & Ie-jung Choi & Jungwoo Shin, 2019. "Is an Incentive Policy for Energy Efficient Products Effective for Air Purifiers? The Case of South Korea," Energies, MDPI, vol. 12(9), pages 1-14, May.
    66. van Cranenburgh, Sander & Chorus, Caspar G., 2018. "Does the decision rule matter for large-scale transport models?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 114(PB), pages 338-353.
    67. Caspar G Chorus, 2018. "Paving the way towards superstar destinations: Models of convex demand for quality," Environment and Planning B, , vol. 45(1), pages 161-179, January.
    68. Gonçalves, Tânia & Lourenço-Gomes, Lina & Pinto, Lígia M. Costa, 2022. "The role of attribute non-attendance on consumer decision-making: Theoretical insights and empirical evidence," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 788-805.
    69. Kim, Junghun & Seung, Hyunchan & Lee, Jongsu & Ahn, Joongha, 2020. "Asymmetric preference and loss aversion for electric vehicles: The reference-dependent choice model capturing different preference directions," Energy Economics, Elsevier, vol. 86(C).
    70. Maness, Michael & Cirillo, Cinzia & Dugundji, Elenna R., 2015. "Generalized behavioral framework for choice models of social influence: Behavioral and data concerns in travel behavior," Journal of Transport Geography, Elsevier, vol. 46(C), pages 137-150.
    71. Sandorf, Erlend Dancke & Crastes dit Sourd, Romain & Mahieu, Pierre-Alexandre, 2018. "The effect of attribute-alternative matrix displays on preferences and processing strategies," Journal of choice modelling, Elsevier, vol. 29(C), pages 113-132.
    72. Damien Jourdain & Juliette Lairez & Bruno Striffler & François Affholder, 2020. "Farmers’ preference for cropping systems and the development of sustainable intensification: a choice experiment approach," Post-Print hal-02995632, HAL.
    73. Stathopoulos, Amanda & Cirillo, Cinzia & Cherchi, Elisabetta & Ben-Elia, Eran & Li, Yeun-Touh & Schmöcker, Jan-Dirk, 2017. "Innovation adoption modeling in transportation: New models and data," Journal of choice modelling, Elsevier, vol. 25(C), pages 61-68.
    74. Gonzalez-Valdes, Felipe & Heydecker, Benjamin G. & Ortúzar, Juan de Dios, 2022. "Quantifying behavioural difference in latent class models to assess empirical identifiability: Analytical development and application to multiple heuristics," Journal of choice modelling, Elsevier, vol. 43(C).
    75. Iain P. Embrey, 2020. "States of nature and states of mind: a generalized theory of decision-making," Theory and Decision, Springer, vol. 88(1), pages 5-35, February.
    76. Jungwoo Shin & Suna Kang & Donghyun Lee & Bum Il Hong, 2018. "Analysing the failure factors of eco‐friendly home appliances based on a user‐centered approach," Business Strategy and the Environment, Wiley Blackwell, vol. 27(8), pages 1399-1408, December.
    77. Caspar G Chorus & John M Rose & David A Hensher, 2013. "Regret Minimization or Utility Maximization: It Depends on the Attribute," Environment and Planning B, , vol. 40(1), pages 154-169, February.
    78. Damien Jourdain1,2,3 & Juliette Lairez4,5 & Bruno Striffler & François Affholder, 2020. "Farmers’ preference for cropping systems and the development of sustainable intensification: a choice experiment approach," Review of Agricultural, Food and Environmental Studies, INRA Department of Economics, vol. 101(4), pages 417-437.
    79. Caspar G. Chorus, 2014. "Capturing alternative decision rules in travel choice models: a critical discussion," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 13, pages 290-310, Edward Elgar Publishing.
    80. Stephane Hess & Andrew Daly & Richard Batley, 2018. "Revisiting consistency with random utility maximisation: theory and implications for practical work," Theory and Decision, Springer, vol. 84(2), pages 181-204, March.
    81. Smeele, Nicholas V.R. & Chorus, Caspar G. & Schermer, Maartje H.N. & de Bekker-Grob, Esther W., 2023. "Towards machine learning for moral choice analysis in health economics: A literature review and research agenda," Social Science & Medicine, Elsevier, vol. 326(C).

  20. Eva Valeri & Amanda Stathopoulos & Edoardo Marcucci, 2012. "Energy efficiency in the transport sector: policy evolution and evaluation in some european countries," ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT, FrancoAngeli Editore, vol. 2012(2), pages 157-192.

    Cited by:

    1. Beltrán-Esteve, Mercedes & Picazo-Tadeo, Andrés J., 2015. "Assessing environmental performance trends in the transport industry: Eco-innovation or catching-up?," Energy Economics, Elsevier, vol. 51(C), pages 570-580.

  21. Edoardo Marcucci & Amanda Stathopoulos & Lucia Rotaris & Romeo Danielis, 2011. "Comparing Single and Joint Preferences: A Choice Experiment on Residential Location in Three-Member Households," Environment and Planning A, , vol. 43(5), pages 1209-1225, May.

    Cited by:

    1. Orsi, Francesco & Geneletti, Davide, 2014. "Assessing the effects of access policies on travel mode choices in an Alpine tourist destination," Journal of Transport Geography, Elsevier, vol. 39(C), pages 21-35.
    2. Houshmand Masoumi & Atif Bilal Aslam & Irfan Ahmad Rana & Muhammad Ahmad & Nida Naeem, 2022. "Relationship of Residential Location Choice with Commute Travels and Socioeconomics in the Small Towns of South Asia: The Case of Hafizabad, Pakistan," Sustainability, MDPI, vol. 14(6), pages 1-15, March.
    3. Matthew J. Beck & John M. Rose, 2019. "Stated preference modelling of intra-household decisions: Can you more easily approximate the preference space?," Transportation, Springer, vol. 46(4), pages 1195-1213, August.
    4. Jesus Gonzalez-Feliu & Joelle Morana & Josep-Maria Salanova Grau & Tai-Yu Ma, 2013. "Design And Scenario Assessment For Collaborative Logistics And Freight Transport Systems," Articles, International Journal of Transport Economics, vol. 40(2).
    5. Biancamaria Torquati & Giulia Giacchè & Tiziano Tempesta, 2020. "Landscapes and Services in Peri-Urban Areas and Choice of Housing Location: An Application of Discrete Choice Experiments," Land, MDPI, vol. 9(10), pages 1-21, October.
    6. Felix Haifeng Liao & Steven Farber & Reid Ewing, 2015. "Compact development and preference heterogeneity in residential location choice behaviour: A latent class analysis," Urban Studies, Urban Studies Journal Limited, vol. 52(2), pages 314-337, February.
    7. 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.
    8. 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.
    9. Alistair Munro, 2018. "Intra†Household Experiments: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 32(1), pages 134-175, February.
    10. Panchalingam, Thadchaigeni & Howard, Gregory & Allen Klaiber, H. & Roe, Brian E., 2023. "Food choice behavior of adolescents under parent-child interaction in the context of US school lunch programs," Food Policy, Elsevier, vol. 115(C).
    11. Dapeng Zhang & Xiaokun (Cara) Wang, 2020. "Investigation of Freight Agents’ Interaction Considering Partner Selection and Joint Decision Making," Sustainability, MDPI, vol. 12(9), pages 1-15, May.
    12. Vikki O’Neill & Stephane Hess, 2014. "Heterogeneity assumptions in the specification of bargaining models: a study of household level trade-offs between commuting time and salary," Transportation, Springer, vol. 41(4), pages 745-763, July.
    13. Boto-García, David & Mariel, Petr & Baños-Pino, José Francisco, 2023. "Intra-household bargaining for a joint vacation," Journal of choice modelling, Elsevier, vol. 47(C).

Chapters

  1. Amanda Stathopoulos & Eva Valeri & Edoardo Marcucci & Edourdo Marcucci & Valerio Gatti & Agostino Nuzzolo, 2011. "Urban Freight Policy Innovation for Rome’s LTZ: A Stakeholder Perspective," Chapters, in: Cathy Macharis & Sandra Melo (ed.), City Distribution and Urban Freight Transport, chapter 4, Edward Elgar Publishing.

    Cited by:

    1. Danielis, Romeo & Maggi, Elena & Rotaris, Lucia & Valeri, Eva, 2012. "La logistica urbana delle merci: un caso di studio," Working Papers 12_8, SIET Società Italiana di Economia dei Trasporti e della Logistica, revised 2012.
    2. Romeo Danielis & Elena Maggi & Lucia Rotaris & Eva Valeri, 2011. "Le filiere della distribuzione urbana delle merci a Roma: attori ed efficienza," Working Papers 11_4, SIET Società Italiana di Economia dei Trasporti e della Logistica, revised 2011.
    3. Boggio-Marzet, Alessandra & Villa-Martínez, Rafael & Monzón, Andrés, 2023. "Selection of policy actions for e-commerce last-mile delivery in cities: An online multi-actor multi-criteria evaluation," Transport Policy, Elsevier, vol. 142(C), pages 15-27.
    4. Stathopoulos, Amanda & Valeri, Eva & Marcucci, Edoardo, 2012. "Stakeholder reactions to urban freight policy innovation," Journal of Transport Geography, Elsevier, vol. 22(C), pages 34-45.
    5. Jesus Gonzalez-Feliu & Joelle Morana & Josep-Maria Salanova Grau & Tai-Yu Ma, 2013. "Design And Scenario Assessment For Collaborative Logistics And Freight Transport Systems," Articles, International Journal of Transport Economics, vol. 40(2).
    6. Aljohani, Khalid & Thompson, Russell G., 2021. "Modelling individual preferences of goods receivers for a Receiver-led delivery consolidation service," Transportation Research Part A: Policy and Practice, Elsevier, vol. 150(C), pages 74-94.
    7. 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.
    8. Bjørgen, Astrid & Seter, Hanne & Kristensen, Terje & Pitera, Kelly, 2019. "The potential for coordinated logistics planning at the local level: A Norwegian in-depth study of public and private stakeholders," Journal of Transport Geography, Elsevier, vol. 76(C), pages 34-41.
    9. Marcucci, Edoardo & Gatta, Valerio, 2017. "Investigating the potential for off-hour deliveries in the city of Rome: Retailers’ perceptions and stated reactions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 102(C), pages 142-156.
    10. Edoardo Marcucci, Amanda Stathopoulos, Romeo Danielis, 2012. "Urban freight policies and tourism. The case of own-account operators in Rome�s limited traffic zone," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 66(2), pages 121-139.
    11. Marcucci, Edoardo & Le Pira, Michela & Gatta, Valerio & Inturri, Giuseppe & Ignaccolo, Matteo & Pluchino, Alessandro, 2017. "Simulating participatory urban freight transport policy-making: Accounting for heterogeneous stakeholders’ preferences and interaction effects," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 103(C), pages 69-86.
    12. Rafael Grosso & Jesús Muñuzuri & Alejandro Escudero-Santana & Elena Barbadilla-Martín, 2018. "Mathematical Formulation and Comparison of Solution Approaches for the Vehicle Routing Problem with Access Time Windows," Complexity, Hindawi, vol. 2018, pages 1-10, February.
    13. Amaya, Johanna & Delgado-Lindeman, Maira & Arellana, Julian & Allen, Jaime, 2021. "Urban freight logistics: What do citizens perceive?," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).
    14. Paola Andrea Cruz-Daraviña & Iván Sánchez-Díaz & Juan Pablo Bocarejo Suescún, 2021. "Bus Rapid Transit (BRT) and Urban Freight—Competition for Space in Densely Populated Cities," Sustainability, MDPI, vol. 13(12), pages 1-21, June.
    15. Gatta, Valerio & Marcucci, Edoardo, 2014. "Urban freight transport and policy changes: Improving decision makers' awareness via an agent-specific approach," Transport Policy, Elsevier, vol. 36(C), pages 248-252.
    16. Pedro A. P. Dias & Hugo Yoshizaki & Patricia Favero & Jose Geraldo Vidal Vieira, 2019. "Daytime or Overnight Deliveries? Perceptions of Drivers and Retailers in São Paulo City," Sustainability, MDPI, vol. 11(22), pages 1-16, November.
    17. Nordtømme, Marianne Elvsaas & Bjerkan, Kristin Ystmark & Sund, Astrid Bjørgen, 2015. "Barriers to urban freight policy implementation: The case of urban consolidation center in Oslo," Transport Policy, Elsevier, vol. 44(C), pages 179-186.

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