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Appraising the environmental benefits of ride-sharing: The Paris region case study

Author

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  • Biao Yin

    (LVMT - Laboratoire Ville, Mobilité, Transport - IFSTTAR - Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux - UPEM - Université Paris-Est Marne-la-Vallée - ENPC - École des Ponts ParisTech)

  • Liu Liu

    (LVMT - Laboratoire Ville, Mobilité, Transport - IFSTTAR - Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux - UPEM - Université Paris-Est Marne-la-Vallée - ENPC - École des Ponts ParisTech)

  • Nicolas Coulombel

    (LVMT - Laboratoire Ville, Mobilité, Transport - IFSTTAR - Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux - UPEM - Université Paris-Est Marne-la-Vallée - ENPC - École des Ponts ParisTech)

  • Vincent Viguie

    (CIRED - centre international de recherche sur l'environnement et le développement - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - EHESS - École des hautes études en sciences sociales - AgroParisTech - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique)

Abstract

This paper investigates the environmental benefits of ride-sharing through its CO2 emission mitigation potential. Ride-sharing is expected to substantially decrease CO2 emissions by raising vehicle occupancy, thus mechanically reducing the number of vehicles on the road. Yet, as ride-sharing entails both a decrease in travel (monetary) costs and in travel times (inasmuch as it reduces road congestion), it is likely to make the car more attractive ultimately. This could result in mode switching in the short run (as travelers forsake public transport or active modes for car), as well as in longer distances travelled in the medium run. In the long run, people could even take advantage of the easier travel conditions to relocate further within the metropolitan area. To account for these rebound effects, we develop an integrated land-use transport model. This intends to capture the effects of ride-sharing on the whole household decision process regarding transport and residential location. The model is applied to the Paris region, with several ride-sharing scenarios for year 2030. While ride-sharing does indeed strongly reduce CO2 emissions, we find substantial rebound mechanisms. In contrast to the (naïve) expectation that raising vehicle occupancy by 50% would reduce CO2 emissions by 33%, the various rebound effects end up dividing the CO2 emission savings by a factor ranging from 2 to 3 depending on the day period considered (i.e. the morning or evening peak period). The rebound mechanisms - the mode switching, distance and relocation effects - should therefore be heeded. Some policy recommendations are provided to develop ride-sharing while curbing these unintended effects.

Suggested Citation

  • Biao Yin & Liu Liu & Nicolas Coulombel & Vincent Viguie, 2018. "Appraising the environmental benefits of ride-sharing: The Paris region case study," Post-Print hal-01695082, HAL.
  • Handle: RePEc:hal:journl:hal-01695082
    DOI: 10.1016/j.jclepro.2017.12.186
    Note: View the original document on HAL open archive server: https://hal.science/hal-01695082v1
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    5. Zhang, Haoran & Chen, Jinyu & Li, Wenjing & Song, Xuan & Shibasaki, Ryosuke, 2020. "Mobile phone GPS data in urban ride-sharing: An assessment method for emission reduction potential," Applied Energy, Elsevier, vol. 269(C).
    6. Zheyin Jin & Ye Li & Dominique Gruyer & Meiting Tu, 2024. "Enhancing the Carbon Reduction Potential in Ridesplitting through Evolutionary Game Strategies of Tripartite Stakeholders under Carbon-Inclusive Policy," Energies, MDPI, vol. 17(16), pages 1-21, August.
    7. Guzzo, D. & Walrave, B. & Videira, N. & Oliveira, I.C. & Pigosso, D.C.A., 2024. "Towards a systemic view on rebound effects: Modelling the feedback loops of rebound mechanisms," Ecological Economics, Elsevier, vol. 217(C).
    8. Viguié, Vincent & Liotta, Charlotte & Pfeiffer, Basile & Coulombel, Nicolas, 2023. "Can public transport improve accessibility for the poor over the long term? Empirical evidence in Paris, 1968–2010," Journal of Transport Geography, Elsevier, vol. 106(C).
    9. Feriél Adjeroud & Thierry Blayac, 2018. "Bus and carpooling travel time perceptions by users: what about the values of travel time for long-distance trips in France? [Perception du temps de transport par les usagers de l’autocar et du cov," Post-Print hal-02099824, HAL.
    10. Ye Ma & Biying Yu & Meimei Xue, 2018. "Spatial Heterogeneous Characteristics of Ridesharing in Beijing–Tianjin–Hebei Region of China," Energies, MDPI, vol. 11(11), pages 1-21, November.
    11. Haoran Chen & Xuedong Yan & Xiaobing Liu & Tao Ma, 2023. "Exploring the operational performance discrepancies between online ridesplitting and carpooling transportation modes based on DiDi data," Transportation, Springer, vol. 50(5), pages 1923-1958, October.
    12. Seyed Omid Hasanpour Jesri & Mohsen Akbarpour Shirazi, 2022. "Bi Objective Peer-to-Peer Ridesharing Model for Balancing Passengers Time and Costs," Sustainability, MDPI, vol. 14(12), pages 1-24, June.
    13. Yuanyuan Zhang & Yuming Zhang, 2018. "Exploring the Relationship between Ridesharing and Public Transit Use in the United States," IJERPH, MDPI, vol. 15(8), pages 1-23, August.
    14. Zou, Zhenpeng & Cirillo, Cinzia, 2021. "Does ridesourcing impact driving decisions: A survey weighted regression analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 146(C), pages 1-12.
    15. Zilong Zhao & Mengyuan Fang & Luliang Tang & Xue Yang & Zihan Kan & Qingquan Li, 2022. "The Impact of Community Shuttle Services on Traffic and Traffic-Related Air Pollution," IJERPH, MDPI, vol. 19(22), pages 1-21, November.
    16. Paul Wolfram & Qingshi Tu & Niko Heeren & Stefan Pauliuk & Edgar G. Hertwich, 2021. "Material efficiency and climate change mitigation of passenger vehicles," Journal of Industrial Ecology, Yale University, vol. 25(2), pages 494-510, April.
    17. Yanhong Yin & Han Wang & Jimin Xiong & Yufeng Zhu & Zhanfeng Tang, 2021. "Estimation of optimum supply of shared cars based on personal travel behaviors in condition of minimum energy consumption," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(9), pages 13324-13339, September.

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