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Big Data in Transportation
Harris Selod
Souleymane Soumahoro
其他書名
An Economics Perspective
出版
World Bank Group, Development Economics, Development Research Group
, 2020
URL
http://books.google.com.hk/books?id=f1XkzQEACAAJ&hl=&source=gbs_api
註釋
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 Bogota, 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.