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Shared Mobility Simulations for Helsinki

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Abstract

This report examines how the optimised use of new on-demand shared transport modes could change the future of mobility in the Helsinki Metropolitan Area in Finland. Based on simulation, it provides indicators for the impact of shared mobility solutions on accessibility, metro/rail ridership, required parking space, congestion and CO2 emissions. The model also analyses service quality, efficiency and cost competitiveness of the shared solutions. In addition, the report explores the willingness among the citizens of the Helsinki region to adopt shared mobility solutions based on focus group analysis. The findings provide an evidence base for decision makers to weigh opportunities and challenges created by new forms of shared transport services. The work is part of a series of studies on shared mobility in different urban and metropolitan contexts.This report is part of the International Transport Forum’s Case-Specific Policy Analysis series. These are topical studies on specific issues carried out by the ITF in agreement with local institutions.

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  • Itf, 2017. "Shared Mobility Simulations for Helsinki," International Transport Forum Policy Papers 39, OECD Publishing.
    • Handle: RePEc:oec:itfaac:39-en
    DOI: 10.1787/3d340a2a-en
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    Cited by:

    1. Mark Muller & Seri Park & Ross Lee & Brett Fusco & Gonçalo Homem de Almeida Correia, 2021. "Review of Whole System Simulation Methodologies for Assessing Mobility as a Service (MaaS) as an Enabler for Sustainable Urban Mobility," Sustainability, MDPI, vol. 13(10), pages 1-15, May.
    2. María J. Alonso-González & Oded Cats & Niels van Oort & Sascha Hoogendoorn-Lanser & Serge Hoogendoorn, 0. "What are the determinants of the willingness to share rides in pooled on-demand services?," Transportation, Springer, vol. 0, pages 1-33.
    3. Georgina Santos, 2018. "Sustainability and Shared Mobility Models," Sustainability, MDPI, vol. 10(9), pages 1-13, September.
    4. David Ennnen & Thorsten Heilker, 2020. "Ride-Hailing Services in Germany: Potential Impacts on Public Transport, Motorized Traffic, and Social Welfare," Working Papers 29, Institute of Transport Economics, University of Muenster.
    5. Cohen, Tom & Jones, Peter, 2020. "Technological advances relevant to transport – understanding what drives them," Transportation Research Part A: Policy and Practice, Elsevier, vol. 135(C), pages 80-95.
    6. María J. Alonso-González & Oded Cats & Niels van Oort & Sascha Hoogendoorn-Lanser & Serge Hoogendoorn, 2021. "What are the determinants of the willingness to share rides in pooled on-demand services?," Transportation, Springer, vol. 48(4), pages 1733-1765, August.
    7. Kröger, Lars & Kuhnimhof, Tobias & Trommer, Stefan, 2019. "Does context matter? A comparative study modelling autonomous vehicle impact on travel behaviour for Germany and the USA," Transportation Research Part A: Policy and Practice, Elsevier, vol. 122(C), pages 146-161.

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