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Low carbon future of vehicle sharing, automation, and electrification: A review of modeling mobility behavior and demand

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  • Wang, Jinghui
  • Yang, Hao

Abstract

Vehicle sharing, automation, and electrification are anticipated to move mobility and society towards low carbon and sustainability. Yet their positives and negatives to the society and natural environment largely depend on how people response to them which is poorly understood. A systematic review is performed in this study to discuss the modeling approaches that quantify travel behavior and demand implications of those technologies and summarize the pros-and-cons of the state-of-the-art. Evidences suggest that the negative rebound effect of the technologies lack mature discussion and require comprehensive quantification multidimensionally in technology adoption, trip generation, timing, travel distance, mode shift, and urban sprawl. Meanwhile, it is worth addressing the uncertainties of the net impact of the technologies resulted from data quality, population and regional heterogeneity, level of vehicle automation, temporal dynamics, behavior chain reactions, and societal issues like aging, fertility drop, and the pandemic. The findings of this review will enlighten the future endeavors of improving the estimation of mobility demand, energy, and carbon emissions implications of the innovative mobility technologies.

Suggested Citation

  • Wang, Jinghui & Yang, Hao, 2023. "Low carbon future of vehicle sharing, automation, and electrification: A review of modeling mobility behavior and demand," Renewable and Sustainable Energy Reviews, Elsevier, vol. 177(C).
    • Handle: RePEc:eee:rensus:v:177:y:2023:i:c:s1364032123000680
    DOI: 10.1016/j.rser.2023.113212
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    1. Shaheen, Susan PhD & Bouzaghrane, Mohamed Amine, 2019. "Mobility and Energy Impacts of Shared Automated Vehicles: a Review of Recent Literature," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt5g29c7pp, Institute of Transportation Studies, UC Berkeley.
    2. Perrine, Kenneth A. & Kockelman, Kara M. & Huang, Yantao, 2020. "Anticipating long-distance travel shifts due to self-driving vehicles," Journal of Transport Geography, Elsevier, vol. 82(C).
    3. Barbour, Natalia & Menon, Nikhil & Zhang, Yu & Mannering, Fred, 2019. "Shared automated vehicles: A statistical analysis of consumer use likelihoods and concerns," Transport Policy, Elsevier, vol. 80(C), pages 86-93.
    4. Felix Becker & Kay W. Axhausen, 2017. "Literature review on surveys investigating the acceptance of automated vehicles," Transportation, Springer, vol. 44(6), pages 1293-1306, November.
    5. Clewlow, Regina R. & Mishra, Gouri S., 2017. "Disruptive Transportation: The Adoption, Utilization, and Impacts of Ride-Hailing in the United States," Institute of Transportation Studies, Working Paper Series qt82w2z91j, Institute of Transportation Studies, UC Davis.
    6. Circella, Giovanni & Alemi, Farzad & Tiedeman, Kate & Handy, Susan & Mokhtarian, Patricia, 2018. "The Adoption of Shared Mobility in California and Its Relationship with Other Components of Travel Behavior," Institute of Transportation Studies, Working Paper Series qt1kq5d07p, Institute of Transportation Studies, UC Davis.
    7. 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.
    8. Aggelos Soteropoulos & Martin Berger & Francesco Ciari, 2019. "Impacts of automated vehicles on travel behaviour and land use: an international review of modelling studies," Transport Reviews, Taylor & Francis Journals, vol. 39(1), pages 29-49, January.
    9. Fagnant, Daniel J. & Kockelman, Kara, 2015. "Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 77(C), pages 167-181.
    10. Shaheen, Susan PhD & Chan, Nelson, 2016. "Mobility and the Sharing Economy: Potential to Overcome First- and Last-Mile Public Transit Connections," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt8042k3d7, Institute of Transportation Studies, UC Berkeley.
    11. Mustapha Harb & Yu Xiao & Giovanni Circella & Patricia L. Mokhtarian & Joan L. Walker, 2018. "Projecting travelers into a world of self-driving vehicles: estimating travel behavior implications via a naturalistic experiment," Transportation, Springer, vol. 45(6), pages 1671-1685, November.
    12. Gurumurthy, Krishna Murthy & Kockelman, Kara M., 2020. "Modeling Americans’ autonomous vehicle preferences: A focus on dynamic ride-sharing, privacy & long-distance mode choices," Technological Forecasting and Social Change, Elsevier, vol. 150(C).
    13. Yap, Menno D. & Correia, Gonçalo & van Arem, Bart, 2016. "Preferences of travellers for using automated vehicles as last mile public transport of multimodal train trips," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 1-16.
    14. Maria L. Loureiro & Jill J. McCluskey & Ron C. Mittelhammer, 2003. "Are Stated Preferences Good Predictors of Market Behavior?," Land Economics, University of Wisconsin Press, vol. 79(1), pages 44-45.
    15. 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.
    16. Kröger, Lars & Kuhnimhof, Tobias & Trommer, Stefan, 2019. "Does context matter? A comparative study modelling autonomous vehicle impact on travel behaviour for Germany and the USA," Transportation Research Part A: Policy and Practice, Elsevier, vol. 122(C), pages 146-161.
    17. Zhou, Fan & Zheng, Zuduo & Whitehead, Jake & Washington, Simon & Perrons, Robert K. & Page, Lionel, 2020. "Preference heterogeneity in mode choice for car-sharing and shared automated vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 633-650.
    18. Montoya, Alejandro & Guéret, Christelle & Mendoza, Jorge E. & Villegas, Juan G., 2017. "The electric vehicle routing problem with nonlinear charging function," Transportation Research Part B: Methodological, Elsevier, vol. 103(C), pages 87-110.
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