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Achieving social routing via navigation apps: User acceptance of travel time sacrifice

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  • Vosough, Shaghayegh
  • Roncoli, Claudio

Abstract

Trip information and navigation systems are expected to become key components of future traffic management strategies, which, if properly exploited, may contribute to the mitigation of car usage externalities. In this study, we investigate social routing recommendations, which could be associated with nudges, and delivered via a navigation app, aiming at promoting sustainable routing behavior, where some drivers are asked to take longer routes and make travel time sacrifices (TTS). In particular, we propose a framework including data collection and behavioral modeling to identify the impacts of various types of information delivered to drivers, goals of the detour, and personal characteristics on drivers’ TTS behavior. The methodology includes stated choice and revealed choice experiments in two European cities, Amsterdam and Helsinki, and a mixed ordered-response logit model to provide insights into TTS behavior. Our analyses show that delivering different information and nudges results in different levels of TTS. However, regardless of the goal of the detour, offering incentives to drivers enables achieving a higher level of TTS. Comparing the stated and revealed data, regarding TTS and compliance rate, also clarifies significant differences between these two types of data.

Suggested Citation

  • Vosough, Shaghayegh & Roncoli, Claudio, 2024. "Achieving social routing via navigation apps: User acceptance of travel time sacrifice," Transport Policy, Elsevier, vol. 148(C), pages 246-256.
    • Handle: RePEc:eee:trapol:v:148:y:2024:i:c:p:246-256
    DOI: 10.1016/j.tranpol.2024.01.026
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    References listed on IDEAS

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    1. Jou, Rong-Chang & Lam, Soi-Hoi & Liu, Yu-Hsin & Chen, Ke-Hong, 2005. "Route switching behavior on freeways with the provision of different types of real-time traffic information," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(5), pages 445-461, June.
    2. Chorus, Caspar G. & Arentze, Theo A. & Timmermans, Harry J.P., 2009. "Traveler compliance with advice: A Bayesian utilitarian perspective," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 45(3), pages 486-500, May.
    3. Galit Cohen-Blankshtain & Hillel Bar-Gera & Yoram Shiftan, 2023. "Congestion pricing and positive incentives: conceptual analysis and empirical findings from Israel," Transportation, Springer, vol. 50(2), pages 607-633, April.
    4. Bhat, Chandra R. & Srinivasan, Sivaramakrishnan, 2005. "A multidimensional mixed ordered-response model for analyzing weekend activity participation," Transportation Research Part B: Methodological, Elsevier, vol. 39(3), pages 255-278, March.
    5. David Revelt & Kenneth Train, 1998. "Mixed Logit With Repeated Choices: Households' Choices Of Appliance Efficiency Level," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 647-657, November.
    6. Wang, Bing & Li, Shuai & Wang, Qi & Lin, Zhenhong, 2020. "Understanding travelers’ mobility decisions in response to customer incentives," Transport Policy, Elsevier, vol. 97(C), pages 113-120.
    7. Zhi (Aaron) Cheng & Min-Seok Pang & Paul A. Pavlou, 2020. "Mitigating Traffic Congestion: The Role of Intelligent Transportation Systems," Information Systems Research, INFORMS, vol. 31(3), pages 653-674, September.
    8. William Greene, 2009. "Discrete Choice Modeling," Palgrave Macmillan Books, in: Terence C. Mills & Kerry Patterson (ed.), Palgrave Handbook of Econometrics, chapter 11, pages 473-556, Palgrave Macmillan.
    9. Terry L. Friesz & David Bernstein & Nihal J. Mehta & Roger L. Tobin & Saiid Ganjalizadeh, 1994. "Day-To-Day Dynamic Network Disequilibria and Idealized Traveler Information Systems," Operations Research, INFORMS, vol. 42(6), pages 1120-1136, December.
    10. Mariska van Essen & Tom Thomas & Eric van Berkum & Caspar Chorus, 2020. "Travelers’ compliance with social routing advice: evidence from SP and RP experiments," Transportation, Springer, vol. 47(3), pages 1047-1070, June.
    11. Sun, Jian & Wu, Jiyan & Xiao, Feng & Tian, Ye & Xu, Xiangdong, 2020. "Managing bottleneck congestion with incentives," Transportation Research Part B: Methodological, Elsevier, vol. 134(C), pages 143-166.
    12. Vosough, Shaghayegh & de Palma, André & Lindsey, Robin, 2022. "Pricing vehicle emissions and congestion externalities using a dynamic traffic network simulator," Transportation Research Part A: Policy and Practice, Elsevier, vol. 161(C), pages 1-24.
    13. Haghani, Milad & Sarvi, Majid, 2017. "Stated and revealed exit choices of pedestrian crowd evacuees," Transportation Research Part B: Methodological, Elsevier, vol. 95(C), pages 238-259.
    14. Yang, Hai & Huang, Hai-Jun, 2004. "The multi-class, multi-criteria traffic network equilibrium and systems optimum problem," Transportation Research Part B: Methodological, Elsevier, vol. 38(1), pages 1-15, January.
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