dc.creatorSánchez Martínez, Gabriel E.
dc.creatorMunizaga Muñoz, Marcela
dc.date.accessioned2018-03-20T20:38:10Z
dc.date.available2018-03-20T20:38:10Z
dc.date.created2018-03-20T20:38:10Z
dc.date.issued2016-11
dc.identifierResearch in Transportation Economics 59 (2016) 236-241
dc.identifier10.1016/j.retrec.2016.10.008
dc.identifierhttp://repositorio.uchile.cl/handle/2250/146922
dc.description.abstractA group of researchers, consultants, software developers, and transit agencies convened in Santiago, Chile over 3 days as part of the Thredbo workshop titled “Harnessing Big Data”, to present their recent research and discuss the state of practice, state of the art, and future directions of big data in public transportation. This report documents their discussion. The key conclusion of the workshop is that, although much progress has been made in utilizing big data to improve transportation planning and operations, much remains to be done, both in terms of developing further analysis tools and use cases of big data, and of disseminating best practices so that they are adopted across the industry.
dc.languageen
dc.publisherElsevier
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Chile
dc.sourceResearch in Transportation Economics
dc.subjectBig data
dc.subjectMeasurement
dc.subjectImplementation challenges
dc.subjectAnalysis tools
dc.subjectTransit best practices
dc.titleWorkshop 5 report: Harnessing big data
dc.typeArtículos de revistas


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