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Big Data in Transportation: An Economics Perspective

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dc.contributor.authorSoumahoro, Souleymane
dc.contributor.authorSelod, Harris
dc.date.accessioned2020-07-06T15:10:07Z
dc.date.available2020-07-06T15:10:07Z
dc.date.issued2020-06
dc.description.abstractThis 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.en
dc.identifierhttp://documents.worldbank.org/curated/en/144551593524811620/Big-Data-in-Transportation-An-Economics-Perspective
dc.identifier.doi10.1596/1813-9450-9308
dc.identifier.urihttps://hdl.handle.net/10986/34023
dc.languageEnglish
dc.publisherWorld Bank, Washington, DC
dc.relation.ispartofseriesPolicy Research Working Paper;No. 9308
dc.rightsCC BY 3.0 IGO
dc.rights.holderWorld Bank
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/igo
dc.subjectTRAFFIC CONGESTION
dc.subjectBAYESIAN STRUCTURAL TIME SERIES
dc.subjectCOVID-19
dc.subjectCORONAVIRUS
dc.subjectTRANSPORT ANALYSIS
dc.subjectMOBILITY
dc.subjectPANDEMIC IMPACT
dc.subjectBIG DATA
dc.titleBig Data in Transportationen
dc.title.subtitleAn Economics Perspectiveen
dc.typeWorking Paperen
dc.typeDocument de travailfr
dc.typeDocumento de trabajoes
dspace.entity.typePublication
okr.crossref.titleBig Data in Transportation: An Economics Perspective
okr.date.disclosure2020-06-30
okr.doctypePublications & Research
okr.doctypePublications & Research::Policy Research Working Paper
okr.docurlhttp://documents.worldbank.org/curated/en/144551593524811620/Big-Data-in-Transportation-An-Economics-Perspective
okr.guid144551593524811620
okr.identifier.doi10.1596/1813-9450-9308
okr.identifier.externaldocumentum090224b087b1fbe8_1_0
okr.identifier.internaldocumentum32201081
okr.identifier.reportWPS9308
okr.importedtrueen
okr.language.supporteden
okr.pdfurlhttp://documents.worldbank.org/curated/en/144551593524811620/pdf/Big-Data-in-Transportation-An-Economics-Perspective.pdfen
okr.region.countryColombia
okr.region.countryFrance
okr.region.countryIndia
okr.region.countryUnited States
okr.statistics.combined2881
okr.statistics.dr144551593524811620
okr.statistics.drstats1708
okr.topicScience and Technology Development::Statistical & Mathematical Sciences
okr.topicTransport::Transport Economics Policy & Planning
okr.unitDevelopment Research Group, Development Economics
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relation.isAuthorOfPublication.latestForDiscoveryb820a7e2-dfb8-5b00-911b-d8822f6724cc
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relation.isSeriesOfPublication.latestForDiscovery26e071dc-b0bf-409c-b982-df2970295c87
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