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Emerging business models and implications for the transport ecosystem

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  • Merkert, Rico
  • Wong, Yale Z.

Abstract

This paper summarises our findings from discussing emerging business models in transportation. Going well beyond big data and regulatory issues, we also examine how new and emerging business models, leveraging on advances in digital technology, can enable more efficient, consumer centric and viable transport provision. One popular emerging solution is mobility as a service (MaaS), and we discuss both tension and partnership potential among government, operators and service providers. New disruptive models and market entrants as well as definitions of success, changing customer expectations, scalability of business models and the role of asset ownership are also shown in various case studies to shape the nature of future transportation ecosystems.

Suggested Citation

  • Merkert, Rico & Wong, Yale Z., 2020. "Emerging business models and implications for the transport ecosystem," Research in Transportation Economics, Elsevier, vol. 83(C).
    • Handle: RePEc:eee:retrec:v:83:y:2020:i:c:s0739885920301098
    DOI: 10.1016/j.retrec.2020.100911
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    References listed on IDEAS

    as
    1. Merkert, Rico & Hensher, David A., 2013. "Regulation, trust and contractual incentives around transport contracts – Is there anything bus operators can learn from public air service contracts?," Research in Transportation Economics, Elsevier, vol. 39(1), pages 67-78.
    2. Yap, Menno & Munizaga, Marcela, 2018. "Workshop 8 report: Big data in the digital age and how it can benefit public transport users," Research in Transportation Economics, Elsevier, vol. 69(C), pages 615-620.
    3. Mulley, Corinne & Kronsell, Annica, 2018. "Workshop 7 report: The “uberisation” of public transport and mobility as a service (MaaS): Implications for future mainstream public transport," Research in Transportation Economics, Elsevier, vol. 69(C), pages 568-572.
    4. Michael A. Cusumano & Steven J. Kahl & Fernando F. Suarez, 2015. "Services, industry evolution, and the competitive strategies of product firms," Strategic Management Journal, Wiley Blackwell, vol. 36(4), pages 559-575, April.
    5. Merkert, Rico & Bushell, James & Beck, Matthew J., 2020. "Collaboration as a service (CaaS) to fully integrate public transportation – Lessons from long distance travel to reimagine mobility as a service," Transportation Research Part A: Policy and Practice, Elsevier, vol. 131(C), pages 267-282.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Javier Turienzo & Pablo Cabanelas & Jesús F. Lampón, 2022. "The Mobility Industry Trends Through the Lens of the Social Analysis: A Multi-Level Perspective Approach," SAGE Open, , vol. 12(1), pages 21582440211, January.
    2. Schmidt, Sebastian & Saraceni, Adriana, 2024. "Consumer acceptance of drone-based technology for last mile delivery," Research in Transportation Economics, Elsevier, vol. 103(C).

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    More about this item

    Keywords

    Transportation ecosystems; Business models; Innovation; MaaS; Data; Glocalisation;
    All these keywords.

    JEL classification:

    • R40 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - General
    • M13 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - New Firms; Startups
    • M21 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics - - - Business Economics

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