Big data in transportation : an economics perspective / Harris Selod, Souleymane Soumahoro
Mitwirkende(r): Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Reihen: World Bank E-Library Archive | Policy research working paper ; 9308Verlag: [Washington, DC, USA] : World Bank Group, Development Economics, Development Research Group, June 2020Beschreibung: 1 Online-Ressource (circa 37 Seiten) : IllustrationenSchlagwörter: Genre/Form: Andere physische Formen: Erscheint auch als: Big Data in Transportation: An Economics Perspective. Druck-Ausgabe Washington, D.C : The World Bank, 2020DOI: DOI: 10.1596/1813-9450-9308Online-Ressourcen: Zusammenfassung: 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 challengesPPN: PPN: 1726702022Package identifier: Produktsigel: ZDB-110-WBL | ZDB-1-WBA | ZDB-110-WBODieser Titel hat keine Exemplare
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