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How Do People Move Around? National Data on Transport Modal Shares for 131 Countries

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  • Grigorios Fountas

    (Transport Research Institute (TRI), School of Engineering & the Built Environment, Edinburgh Napier University, Edinburgh EH10 5DT, UK)

  • Ya-Yen Sun

    (UQ Business School, The University of Queensland, Brisbane, QLD 4072, Australia)

  • Ortzi Akizu-Gardoki

    (Faculty of Engineering of Bilbao, University of the Basque Country, 48013 Bilbao, Spain)

  • Francesco Pomponi

    (Resource Efficient Built Environment Lab (REBEL), Edinburgh Napier University, Edinburgh EH10 5DT, UK)

Abstract

The COVID-19 pandemic has brought global mobility into the spotlight, with well over 100 countries having instituted either a full or partial lockdown by April 2020. Reduced mobility, whilst causing social and economic impacts, can also be beneficial for the environment and future studies will surely quantify such environmental gains. However, accurate quantification is intimately linked to good quality data on transport modal shares, as passenger cars and public transport have significantly different emissions profiles. Herein, we compile a currently lacking dataset on global modal transport shares for 131 countries. Notably, these are the countries covered by the Google Community Mobility Reports (plus Russia and China for their global relevance), thus allowing for a smooth integration between our dataset and the rich information offered by the Google Community Mobility Reports, thus enabling analysis of global emissions reductions due to mobility restrictions. Beyond the current pandemic, this novel dataset will be helpful to practitioners and academics alike working in transport research.

Suggested Citation

  • Grigorios Fountas & Ya-Yen Sun & Ortzi Akizu-Gardoki & Francesco Pomponi, 2020. "How Do People Move Around? National Data on Transport Modal Shares for 131 Countries," World, MDPI, vol. 1(1), pages 1-10, June.
    • Handle: RePEc:gam:jworld:v:1:y:2020:i:1:p:3-43:d:373253
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    1. Bansal, Prateek & Kockelman, Kara M. & Schievelbein, Will & Schauer-West, Scott, 2018. "Indian vehicle ownership and travel behavior: A case study of Bengaluru, Delhi and Kolkata," Research in Transportation Economics, Elsevier, vol. 71(C), pages 2-8.
    2. Dargay, Joyce & Gately, Dermot, 1997. "Vehicle ownership to 2015: Implications for energy use and emissions," Energy Policy, Elsevier, vol. 25(14-15), pages 1121-1127, December.
    3. Keshavarzian, Maryam & Kamali Anaraki, Sara & Zamani, Mehrzad & Erfanifard, Ali, 2012. "Projections of oil demand in road transportation sector on the basis of vehicle ownership projections, worldwide: 1972–2020," Economic Modelling, Elsevier, vol. 29(5), pages 1979-1985.
    4. Zhang, Zhao & Jin, Wen & Jiang, Hai & Xie, Qianyan & Shen, Wei & Han, Weijian, 2017. "Modeling heterogeneous vehicle ownership in China: A case study based on the Chinese national survey," Transport Policy, Elsevier, vol. 54(C), pages 11-20.
    5. Sudhir Anand and Amartya Sen, 1994. "Human development Index: Methodology and Measurement," Human Development Occasional Papers (1992-2007) HDOCPA-1994-02, Human Development Report Office (HDRO), United Nations Development Programme (UNDP).
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    1. Maurizio Migliaccio & Andrea Buono & Ila Maltese & Margherita Migliaccio, 2021. "The 2020 Italian Spring Lockdown: A Multidisciplinary Analysis over the Milan Urban Area," World, MDPI, vol. 2(3), pages 1-24, August.

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