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Big Data in Transportation : An Economics Perspective

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  • Selod,Harris
  • Soumahoro,Souleymane

Abstract

This paper reviews the emerging big data literature applied to urban transportation issues from the perspective of economic research. It provides a typology of big data sources relevant to transportation analyses and describes how these data can be used to measure mobility, associated externalities, and welfare impacts. As an application, it showcases the use of daily traffic conditions data in various developed and developing country cities to estimate the causal impact of stay-at-home orders during the Covid-19 pandemic on traffic congestion in Bogotá, New Dehli, New York, and Paris. In light of the advances in big data analytics, the paper concludes with a discussion on policy opportunities and challenges.

Suggested Citation

  • Selod,Harris & Soumahoro,Souleymane, 2020. "Big Data in Transportation : An Economics Perspective," Policy Research Working Paper Series 9308, The World Bank.
    • Handle: RePEc:wbk:wbrwps:9308
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    References listed on IDEAS

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    Cited by:

    1. WASHIMI Kazuaki, 2021. "Venture Capital and Startup Innovation --Big Data Analysis of Patent Data--," Bank of Japan Research Papers 21-03-12, Bank of Japan.

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    Keywords

    ICT Applications; Transport Services; Health Care Services Industry; Global Environment;
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