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Modular dynamic ride-sharing transport systems

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  • Gecchelin, Tommaso
  • Webb, Jeremy

Abstract

It is widely recognised that digital technology – and in particular dynamic ride sharing systems (DRS) – is leading to fundamental changes to vehicular transport and in particular, offers the prospect of substantially more cost effective forms of transport. A much anticipated transformational wave is that of autonomous vehicles (AVs) which carry the prospect of considerably cheaper and far more convenient individualised transport. That eventuality when married to DRS in the form of shared AVs (SAVs) — is seen as individualised transport’s ‘killer app’ with the attendant risk of its convenience and low cost drawing clients away from public transport systems.

Suggested Citation

  • Gecchelin, Tommaso & Webb, Jeremy, 2019. "Modular dynamic ride-sharing transport systems," Economic Analysis and Policy, Elsevier, vol. 61(C), pages 111-117.
    • Handle: RePEc:eee:ecanpo:v:61:y:2019:i:c:p:111-117
    DOI: 10.1016/j.eap.2018.12.003
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    References listed on IDEAS

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    Cited by:

    1. Webb, Jeremy, 2019. "The future of transport: Literature review and overview," Economic Analysis and Policy, Elsevier, vol. 61(C), pages 1-6.
    2. Ho, Jerry & Hoang, Vincent & Wilson, Clevo, 2020. "Government R&D Subsidies and International Competitiveness of Labor-managed Firms," MPRA Paper 106896, University Library of Munich, Germany, revised 09 Dec 2020.
    3. Enoch, M.P. & Cross, R. & Potter, N. & Davidson, C. & Taylor, S. & Brown, R. & Huang, H. & Parsons, J. & Tucker, S. & Wynne, E. & Grieg, D. & Campbell, G. & Jackson, A. & Potter, S., 2020. "Future local passenger transport system scenarios and implications for policy and practice," Transport Policy, Elsevier, vol. 90(C), pages 52-67.
    4. Zhang, Jiyu & Ge, Ying-En & Tang, Chunyan & Zhong, Meisu, 2024. "Optimising modular-autonomous-vehicle transit service employing coupling–decoupling operations plus skip-stop strategy," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 184(C).
    5. Tao, Chang-Qi & Yi, Meng-Ying & Wang, Chang-Song, 2023. "Coupling coordination analysis and Spatiotemporal heterogeneity between data elements and green development in China," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 1-15.

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