Big Data and cycling

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dc.contributor.authorZaltz-Austwick, Martin
dc.contributor.authorEttema, Dick
dc.contributor.authorKruijf, Joost De
dc.contributor.authorRomanillos Arroyo, Gustavo
dc.date.accessioned2024-02-09T09:03:46Z
dc.date.available2024-02-09T09:03:46Z
dc.date.issued2015-09-29
dc.description.abstractBig Data has begun to create significant impacts in urban and transport planning. This paper covers the explosion in data-driven research on cycling, most of which has occurred in the last ten years. We review the techniques, objectives and findings of a growing number of studies we have classified into three groups according to the nature of the data they are based on: GPS data (spatio-temporal data collected using the global positioning system (GPS)), live point data and journey data. We discuss the movement from small-scale GPS studies to the ‘Big GPS’ data sets held by fitness and leisure apps or specific cycling initiatives, the impact of Bike Share Programmes (BSP) on the availability of timely point data and the potential of historical journey data for trend analysis and pattern recognition. We conclude by pointing towards the possible new insights through combining these data sets with each other – and with more conventional health, socio-demographic or transport data.
dc.description.departmentDepto. de Geografía
dc.description.facultyFac. de Geografía e Historia
dc.description.refereedTRUE
dc.description.statuspub
dc.identifier.citationGustavo Romanillos, Martin Zaltz Austwick, Dick Ettema & Joost De Kruijf (2016) Big Data and Cycling, Transport Reviews, 36:1, 114-133, DOI: 10.1080/01441647.2015.1084067
dc.identifier.doi10.1080/01441647.2015.1084067
dc.identifier.essn1464-5327
dc.identifier.issn0144-1647
dc.identifier.officialurlhttps://www.tandfonline.com/doi/full/10.1080/01441647.2015.1084067
dc.identifier.urihttps://hdl.handle.net/20.500.14352/100723
dc.issue.number1
dc.journal.titleTransport Reviews
dc.language.isoeng
dc.page.final133
dc.page.initial114
dc.publisherTaylor and Francis
dc.relation.projectIDINSIGHT project - Innovative Policy Modeling and Governance Tools for Sustainable Post-Crisis Urban Development, GA 611307
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationalen
dc.rights.accessRightsrestricted access
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject.keywordCycling
dc.subject.keywordBig data
dc.subject.keywordbike mobility
dc.subject.keywordbikeshare
dc.subject.keywordspatial analysis
dc.subject.keywordGPS
dc.subject.ucmCiencias Sociales
dc.subject.unesco54 Geografía
dc.titleBig Data and cycling
dc.typejournal article
dc.volume.number36
dspace.entity.typePublication
relation.isAuthorOfPublication7af12201-dd9c-4deb-8f3e-16bacc43e6dd
relation.isAuthorOfPublication.latestForDiscovery7af12201-dd9c-4deb-8f3e-16bacc43e6dd
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