Big Data in Transportation : An Economics Perspective

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...

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Main Authors: Selod, Harris, Soumahoro, Souleymane
Format: Working Paper
Language:English
Published: World Bank, Washington, DC 2020
Subjects:
Online Access:http://documents.worldbank.org/curated/en/144551593524811620/Big-Data-in-Transportation-An-Economics-Perspective
http://hdl.handle.net/10986/34023
id okr-10986-34023
recordtype oai_dc
spelling okr-10986-340232022-09-20T00:11:28Z Big Data in Transportation : An Economics Perspective Selod, Harris Soumahoro, Souleymane TRAFFIC CONGESTION BAYESIAN STRUCTURAL TIME SERIES COVID-19 CORONAVIRUS TRANSPORT ANALYSIS MOBILITY PANDEMIC IMPACT BIG DATA 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. 2020-07-06T15:10:07Z 2020-07-06T15:10:07Z 2020-06 Working Paper http://documents.worldbank.org/curated/en/144551593524811620/Big-Data-in-Transportation-An-Economics-Perspective http://hdl.handle.net/10986/34023 English Policy Research Working Paper;No. 9308 CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo World Bank World Bank, Washington, DC Publications & Research Publications & Research :: Policy Research Working Paper Colombia France India United States
repository_type Digital Repository
institution_category Foreign Institution
institution Digital Repositories
building World Bank Open Knowledge Repository
collection World Bank
language English
topic TRAFFIC CONGESTION
BAYESIAN STRUCTURAL TIME SERIES
COVID-19
CORONAVIRUS
TRANSPORT ANALYSIS
MOBILITY
PANDEMIC IMPACT
BIG DATA
spellingShingle TRAFFIC CONGESTION
BAYESIAN STRUCTURAL TIME SERIES
COVID-19
CORONAVIRUS
TRANSPORT ANALYSIS
MOBILITY
PANDEMIC IMPACT
BIG DATA
Selod, Harris
Soumahoro, Souleymane
Big Data in Transportation : An Economics Perspective
geographic_facet Colombia
France
India
United States
relation Policy Research Working Paper;No. 9308
description 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.
format Working Paper
author Selod, Harris
Soumahoro, Souleymane
author_facet Selod, Harris
Soumahoro, Souleymane
author_sort Selod, Harris
title Big Data in Transportation : An Economics Perspective
title_short Big Data in Transportation : An Economics Perspective
title_full Big Data in Transportation : An Economics Perspective
title_fullStr Big Data in Transportation : An Economics Perspective
title_full_unstemmed Big Data in Transportation : An Economics Perspective
title_sort big data in transportation : an economics perspective
publisher World Bank, Washington, DC
publishDate 2020
url http://documents.worldbank.org/curated/en/144551593524811620/Big-Data-in-Transportation-An-Economics-Perspective
http://hdl.handle.net/10986/34023
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