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Collaborative activity-based ridesharing

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  • Wang, Yaoli
  • Winter, Stephan
  • Tomko, Martin

Abstract

A new ridesharing model called collaborative activity-based ridesharing is proposed to enhance not only overall matching rates but also the matches between preferred ride partners. By coalescing the merits of two recently suggested innovative ridesharing models – the social network-based ridesharing and the activity-based ridesharing – the new model leverages people's preference to their social networks and the space-time flexibility of daily activities to improve the matching outcome. The capabilities and advantages of the proposed model are justified by a group of agent-based simulations in a realistic study area. The influence of geography on the match outcome is discussed in particular.

Suggested Citation

  • Wang, Yaoli & Winter, Stephan & Tomko, Martin, 2018. "Collaborative activity-based ridesharing," Journal of Transport Geography, Elsevier, vol. 72(C), pages 131-138.
    • Handle: RePEc:eee:jotrge:v:72:y:2018:i:c:p:131-138
    DOI: 10.1016/j.jtrangeo.2018.08.013
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    Cited by:

    1. Anne Aguiléra & Eléonore Pigalle, 2021. "The Future and Sustainability of Carpooling Practices. An Identification of Research Challenges," Sustainability, MDPI, vol. 13(21), pages 1-16, October.
    2. Jerzy Niemczyk & Rafał Trzaska & Maciej Wilczyński & Kamil Borowski, 2021. "Business Models 4.0 Using Network Effects: Case Study of the Cyfrowy Polsat Group," Sustainability, MDPI, vol. 13(21), pages 1-20, October.
    3. Zipeng Zhang & Ning Zhang, 2021. "The Morning Commute Problem with Ridesharing When Meet Stochastic Bottleneck," Sustainability, MDPI, vol. 13(11), pages 1-13, May.
    4. Eva Malichová & Ghadir Pourhashem & Tatiana Kováčiková & Martin Hudák, 2020. "Users’ Perception of Value of Travel Time and Value of Ridesharing Impacts on Europeans’ Ridesharing Participation Intention: A Case Study Based on MoTiV European-Wide Mobility and Behavioral Pattern ," Sustainability, MDPI, vol. 12(10), pages 1-19, May.

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