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Shared mobility services towards Mobility as a Service (MaaS): What, who and when?

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  • Narayanan, Santhanakrishnan
  • Antoniou, Constantinos

Abstract

There is a growing popularity for shared mobility services. With their penetration in a city, a natural phenomenon is the mode shift from conventional modes. Therefore, there is a need for a model, which is capable of capturing this phenomenon. While most existing studies have developed mode choice models consisting of a single shared mobility service, only a few studies of two modes exist. Nevertheless, no study has focused on the development of a joint mode choice model for bike-sharing, car-sharing and ride-hailing services. Hence, the objective of this research is to develop a mode choice model, which is capable of capturing the demand for the aforementioned three services simultaneously. The estimation results show the influence of socio-demographic characteristics (age, gender, education, household car-ownership and possession of public transport pass and license), trip-related variables (trip distance and travel time) and supply parameter (fleet size). For example, bike-sharing systems are more likely to be used for trips with distances up to 5 km, while car-sharing and ride-hailing systems are expected to be used for a longer distance range of 2 to 15 km. However, there is a lower probability to use the three services for travel times beyond 30 min. Discussions are included for the integration of the developed mode choice model into the transport simulation systems. In addition, based on the influential factors, policy measures are suggested under the following categories: (i) Finance (e.g., microsubidies), (ii) Infrastructure (e.g., dedicated cycle lanes), (iii) Campaigns and nudges (e.g., social awareness campaigns), and (iv) Service design (e.g., integration with public transport). Especially, measures that benefit women and attract young and older age groups are proposed. Besides the policy measures, the probable demand segments for the three shared mobility services have been identified and summarized, with a focus to integrate them along with public transport for Mobility as a Service (MaaS). This includes how the three services can be streamlined to target different distance categories and socio-demographic groups. The contributions from this study can allow several cities to estimate more accurately the mode shares for the shared mobility services and also to promote sustainable usage of shared mobility services through MaaS platforms.

Suggested Citation

  • Narayanan, Santhanakrishnan & Antoniou, Constantinos, 2023. "Shared mobility services towards Mobility as a Service (MaaS): What, who and when?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 168(C).
  • Handle: RePEc:eee:transa:v:168:y:2023:i:c:s0965856423000010
    DOI: 10.1016/j.tra.2023.103581
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    References listed on IDEAS

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    1. Young, Mischa & Farber, Steven, 2019. "The who, why, and when of Uber and other ride-hailing trips: An examination of a large sample household travel survey," Transportation Research Part A: Policy and Practice, Elsevier, vol. 119(C), pages 383-392.
    2. Narayanan, Santhanakrishnan & Antoniou, Constantinos, 2022. "Electric cargo cycles - A comprehensive review," Transport Policy, Elsevier, vol. 116(C), pages 278-303.
    3. Böcker, Lars & Anderson, Ellinor & Uteng, Tanu Priya & Throndsen, Torstein, 2020. "Bike sharing use in conjunction to public transport: Exploring spatiotemporal, age and gender dimensions in Oslo, Norway," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 389-401.
    4. Cartenì, Armando & Cascetta, Ennio & de Luca, Stefano, 2016. "A random utility model for park & carsharing services and the pure preference for electric vehicles," Transport Policy, Elsevier, vol. 48(C), pages 49-59.
    5. Tien Dung Tran & Nicolas Ovtracht & Bruno Faivre D’arcier, 2015. "Modeling Bike Sharing System using Built Environment Factors," Post-Print halshs-01474166, HAL.
    6. Michiko Namazu & Jiaying Zhao & Hadi Dowlatabadi, 2018. "Nudging for responsible carsharing: using behavioral economics to change transportation behavior," Transportation, Springer, vol. 45(1), pages 105-119, January.
    7. Raux, Charles & Zoubir, Ayman & Geyik, Mirkan, 2017. "Who are bike sharing schemes members and do they travel differently? The case of Lyon’s “Velo’v” scheme," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 350-363.
    8. de Luca, Stefano & Di Pace, Roberta, 2015. "Modelling users’ behaviour in inter-urban carsharing program: A stated preference approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 71(C), pages 59-76.
    9. Shaheen, Susan & Guzman, Stacey & Zhang, Hua, 2010. "Bikesharing in Europe, the Americas, and Asia: Past, Present, and Future," Institute of Transportation Studies, Working Paper Series qt79v822k5, Institute of Transportation Studies, UC Davis.
    10. Young, Mischa & Farber, Steven, 2019. "The Who, Why, and When of Uber and other Ride-hailing Trips: An Examination of a Large Sample Household Travel Survey," OSF Preprints x7ryj, Center for Open Science.
    11. Picasso, Emilio & Postorino, Maria Nadia & Bonoli-Escobar, Mariano & Stewart-Harris, Maria, 2020. "Car-sharing vs bike-sharing: A choice experiment to understand young people behaviour," Transport Policy, Elsevier, vol. 97(C), pages 121-128.
    12. Loa, Patrick & Nurul Habib, Khandker, 2021. "Examining the influence of attitudinal factors on the use of ride-hailing services in Toronto," Transportation Research Part A: Policy and Practice, Elsevier, vol. 146(C), pages 13-28.
    13. Shaheen, Susan A & Guzman, Stacey & Zhang, Hua, 2010. "Bikesharing in Europe, the Americas, and Asia: Past, Present and Future," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt6qg8q6ft, Institute of Transportation Studies, UC Berkeley.
    14. Habib, Khandker Nurul, 2019. "Mode choice modelling for hailable rides: An investigation of the competition of Uber with other modes by using an integrated non-compensatory choice model with probabilistic choice set formation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 129(C), pages 205-216.
    15. Shaheen, Susan A & Cohen, Adam P, 2007. "Growth in Worldwide Carsharing: An International Comparison," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt2zv240pp, Institute of Transportation Studies, UC Berkeley.
    16. Wang, Kailai & Akar, Gulsah & Chen, Yu-Jen, 2018. "Bike sharing differences among Millennials, Gen Xers, and Baby Boomers: Lessons learnt from New York City’s bike share," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 1-14.
    17. King, Gary & Zeng, Langche, 2001. "Logistic Regression in Rare Events Data," Political Analysis, Cambridge University Press, vol. 9(2), pages 137-163, January.
    18. Avineri, Erel, 2012. "On the use and potential of behavioural economics from the perspective of transport and climate change," Journal of Transport Geography, Elsevier, vol. 24(C), pages 512-521.
    19. Ioannis Kosmidis & David Firth, 2021. "Jeffreys-prior penalty, finiteness and shrinkage in binomial-response generalized linear models," Biometrika, Biometrika Trust, vol. 108(1), pages 71-82.
    20. 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.
    21. Jochem, Patrick & Frankenhauser, Dominik & Ewald, Lukas & Ensslen, Axel & Fromm, Hansjörg, 2020. "Does free-floating carsharing reduce private vehicle ownership? The case of SHARE NOW in European cities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 141(C), pages 373-395.
    22. Becker, Henrik & Balac, Milos & Ciari, Francesco & Axhausen, Kay W., 2020. "Assessing the welfare impacts of Shared Mobility and Mobility as a Service (MaaS)," Transportation Research Part A: Policy and Practice, Elsevier, vol. 131(C), pages 228-243.
    23. Ariella S. Kristal & Ashley V. Whillans, 2020. "What we can learn from five naturalistic field experiments that failed to shift commuter behaviour," Nature Human Behaviour, Nature, vol. 4(2), pages 169-176, February.
    24. Becker, Henrik & Ciari, Francesco & Axhausen, Kay W., 2017. "Comparing car-sharing schemes in Switzerland: User groups and usage patterns," Transportation Research Part A: Policy and Practice, Elsevier, vol. 97(C), pages 17-29.
    25. Weibo Li & Maria Kamargianni, 2020. "Steering short-term demand for car-sharing: a mode choice and policy impact analysis by trip distance," Transportation, Springer, vol. 47(5), pages 2233-2265, October.
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