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Modeling individuals’ willingness to share trips with strangers in an autonomous vehicle future

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  • Lavieri, Patrícia S.
  • Bhat, Chandra R.

Abstract

With the era of fully automated vehicles (AVs) quickly approaching, ridesharing services could have an important role in increasing vehicle occupancy, reducing vehicle miles traveled, and improving traffic conditions. However, the extent to which these potentials can be achieved depends on consumers’ disposition to sharing rides. From a travel behavior perspective, two essential elements to the adoption of shared rides are individuals’ acceptance of increased travel times associated with pick-up/drop-off of other passengers and their approval of strangers sharing the same vehicle. The current study develops the notion of willingness to share (WTS), which represents the money value attributed by an individual to traveling alone compared to riding with strangers, to investigate the adoption of shared rides. Using a multivariate integrated choice and latent variable approach, we examine current choices and future intentions regarding the use of shared rides and estimate individuals’ WTS as well as their values of travel time for two distinct trip purposes. Results show that users are less sensitive to the presence of strangers when in a commute trip compared to a leisure-activity trip. We also observe that the travel time added to the trip to serve other passengers may be a greater barrier to the use of shared services compared to the presence of a stranger. However, the potential to use travel time productively may help overcome this barrier especially for high-income individuals.

Suggested Citation

  • Lavieri, Patrícia S. & Bhat, Chandra R., 2019. "Modeling individuals’ willingness to share trips with strangers in an autonomous vehicle future," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 242-261.
    • Handle: RePEc:eee:transa:v:124:y:2019:i:c:p:242-261
    DOI: 10.1016/j.tra.2019.03.009
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    as
    1. Maria Börjesson & Jonas Eliasson, 2019. "Should values of time be differentiated?," Transport Reviews, Taylor & Francis Journals, vol. 39(3), pages 357-375, May.
    2. Buddelmeyer, Hielke & Hamermesh, Daniel S. & Wooden, Mark, 2018. "THE stress cost of children on moms and dads," European Economic Review, Elsevier, vol. 109(C), pages 148-161.
    3. Mattias Gripsrud & Randi Hjorthol, 2012. "Working on the train: from ‘dead time’ to productive and vital time," Transportation, Springer, vol. 39(5), pages 941-956, September.
    4. Hensher, David A., 2010. "Hypothetical bias, choice experiments and willingness to pay," Transportation Research Part B: Methodological, Elsevier, vol. 44(6), pages 735-752, July.
    5. Bhat, Chandra R., 2015. "A comprehensive dwelling unit choice model accommodating psychological constructs within a search strategy for consideration set formation," Transportation Research Part B: Methodological, Elsevier, vol. 79(C), pages 161-188.
    6. Felipe F. Dias & Patrícia S. Lavieri & Venu M. Garikapati & Sebastian Astroza & Ram M. Pendyala & Chandra R. Bhat, 2017. "A behavioral choice model of the use of car-sharing and ride-sourcing services," Transportation, Springer, vol. 44(6), pages 1307-1323, November.
    7. Ory, David T. & Mokhtarian, Patricia L., 2005. "When is getting there half the fun? Modeling the liking for travel," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(2-3), pages 97-123.
    8. Bösch, Patrick M. & Becker, Felix & Becker, Henrik & Axhausen, Kay W., 2018. "Cost-based analysis of autonomous mobility services," Transport Policy, Elsevier, vol. 64(C), pages 76-91.
    9. Bhat, Chandra R., 2015. "A new generalized heterogeneous data model (GHDM) to jointly model mixed types of dependent variables," Transportation Research Part B: Methodological, Elsevier, vol. 79(C), pages 50-77.
    10. Börjesson, Maria & Eliasson, Jonas, 2014. "Experiences from the Swedish Value of Time study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 59(C), pages 144-158.
    11. Palvinder Singh & Rajesh Paleti & Syndney Jenkins & Chandra Bhat, 2013. "On modeling telecommuting behavior: option, choice, and frequency," Transportation, Springer, vol. 40(2), pages 373-396, February.
    12. Axhausen, Kay W. & Hess, Stephane & König, Arnd & Abay, Georg & Bates, John J. & Bierlaire, Michel, 2008. "Income and distance elasticities of values of travel time savings: New Swiss results," Transport Policy, Elsevier, vol. 15(3), pages 173-185, May.
    13. Shaheen, Susan PhD & Chan, Nelson & Gaynor, Theresa, 2016. "Casual Carpooling in the San Francisco Bay Area: Understanding User Characteristics, Behaviors, and Motivations," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt4dh2h0rf, Institute of Transportation Studies, UC Berkeley.
    14. Klein, Nicholas J. & Guerra, Erick & Smart, Michael J., 2018. "The Philadelphia story: Age, race, gender and changing travel trends," Journal of Transport Geography, Elsevier, vol. 69(C), pages 19-25.
    15. Cristiano Varin & Paolo Vidoni, 2005. "A note on composite likelihood inference and model selection," Biometrika, Biometrika Trust, vol. 92(3), pages 519-528, September.
    16. Evelyn Blumenberg & Michael Smart, 2010. "Getting by with a little help from my friends…and family: immigrants and carpooling," Transportation, Springer, vol. 37(3), pages 429-446, May.
    17. Bhat, Chandra R., 2011. "The maximum approximate composite marginal likelihood (MACML) estimation of multinomial probit-based unordered response choice models," Transportation Research Part B: Methodological, Elsevier, vol. 45(7), pages 923-939, August.
    18. Cirillo, C. & Axhausen, K.W., 2006. "Evidence on the distribution of values of travel time savings from a six-week diary," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(5), pages 444-457, June.
    19. Shaheen, Susan & Cohen, Adam, 2018. "Shared ride services in North America: definitions, impacts, and the future of pooling," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt2wr9q8c2, Institute of Transportation Studies, UC Berkeley.
    20. Frei, Charlotte & Mahmassani, Hani S. & Frei, Andreas, 2015. "Making time count: Traveler activity engagement on urban transit," Transportation Research Part A: Policy and Practice, Elsevier, vol. 76(C), pages 58-70.
    21. Schwieterman, Joseph & Smith, C. Scott, 2018. "Sharing the ride: A paired-trip analysis of UberPool and Chicago Transit Authority services in Chicago, Illinois," Research in Transportation Economics, Elsevier, vol. 71(C), pages 9-16.
    22. Benjamin Motte-Baumvol & Olivier Bonin & Leslie Belton-Chevallier, 2017. "Who escort children: mum or dad? Exploring gender differences in escorting mobility among parisian dual-earner couples," Transportation, Springer, vol. 44(1), pages 139-157, January.
    23. Natasha Merat & Ruth Madigan & Sina Nordhoff, 2017. "Human Factors, User Requirements, and User Acceptance of Ride-Sharing in Automated Vehicles," International Transport Forum Discussion Papers 2017/10, OECD Publishing.
    24. Yingling Fan, 2017. "Household structure and gender differences in travel time: spouse/partner presence, parenthood, and breadwinner status," Transportation, Springer, vol. 44(2), pages 271-291, March.
    25. Tali Hatuka & Eran Toch, 2016. "The emergence of portable private-personal territory: Smartphones, social conduct and public spaces," Urban Studies, Urban Studies Journal Limited, vol. 53(10), pages 2192-2208, August.
    26. Giuliano, Genevieve, 2003. "Travel, location and race/ethnicity," Transportation Research Part A: Policy and Practice, Elsevier, vol. 37(4), pages 351-372, May.
    27. Bhat, Chandra R. & Dubey, Subodh K., 2014. "A new estimation approach to integrate latent psychological constructs in choice modeling," Transportation Research Part B: Methodological, Elsevier, vol. 67(C), pages 68-85.
    28. Shaheen, Susan A. & Chan, Nelson D. & Gaynor, Teresa, 2016. "Casual carpooling in the San Francisco Bay Area: Understanding user characteristics, behaviors, and motivations," Transport Policy, Elsevier, vol. 51(C), pages 165-173.
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