Big Data in Transportation: An Economics Perspective

Harris Selod () and Souleymane Soumahoro

No 9308, Policy Research Working Paper Series from The World Bank

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.

Keywords: ICT Applications; Transport Services; Health Care Services Industry; Global Environment (search for similar items in EconPapers)
Date: 2020-06-30
New Economics Papers: this item is included in nep-big, nep-tre and nep-ure
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:wbk:wbrwps:9308

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