Understanding cycling travel distance: The case of Medellin city (Colombia)

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dc.citation.journalTitleTRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
dc.contributor.authorDuque, J.spa
dc.contributor.authorOspina, J.spa
dc.contributor.authorBotero Ferna´ndez, Vero´nicaspa
dc.contributor.authorBrussel, Markspa
dc.contributor.authorGrigolon, Annaspa
dc.contributor.departmentUniversidad EAFIT. Departamento de Economía y Finanzasspa
dc.contributor.researchgroupResearch in Spatial Economics (RISE)eng
dc.date.accessioned2020-06-04
dc.date.accessioned2021-04-12T14:26:23Z
dc.date.available2021-04-12T14:26:23Z
dc.date.issued2020-06-23
dc.date.submitted2019-07-31
dc.description.abstractThe relevance of cycling as a mode of transportation is increasingly being recognized in many cities around the world, and the city of Medellin (Colombia) is no exception. To better understand cycling travel behavior in Medellin, we perform a multiple regression to analyze the importance of route characteristics in explaining cycling travel distance. We control for socioeconomic and built environment variables at the origin and destination. Our results reveal that the effects of the socio-economic and built environment characteristics at the origin and destination are modest or statistically insignificant in explaining travel distance. However, the variables that characterize the built and natural environment along the route are significant and appreciably improve the explanatory power of the baseline econometric model. An analysis of interacting effects shows that the interaction between the dedicated infrastructure along the route and the degree of deviation from direct routes has a relevant effect on explaining travel distance. The findings of this work are useful for designing cycling policy and developing more usable cycling infrastructure. © 2020 Elsevier Ltdeng
dc.identifierhttps://eafit.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=11809
dc.identifier.doi10.13043/DYS.85.6
dc.identifier.issn13619209
dc.identifier.otherSCOPUS;2-s2.0-85086909003
dc.identifier.urihttp://hdl.handle.net/10784/28083
dc.language.isoengeng
dc.publisherElsevier Ltd.
dc.relation.urihttps://www.sciencedirect.com/science/article/pii/S1361920920306106?via%3Dihub
dc.rightshttps://v2.sherpa.ac.uk/id/publication/issn/1361-9209
dc.sourceTRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
dc.subject.keywordEnvironmental impacteng
dc.subject.keywordMechanical engineeringeng
dc.subject.keywordBuilt environmenteng
dc.subject.keywordEconometric modeleng
dc.subject.keywordExplanatory powereng
dc.subject.keywordMultiple regressionseng
dc.subject.keywordNatural environmentseng
dc.subject.keywordOrigin and destinationseng
dc.subject.keywordTravel behaviorseng
dc.subject.keywordTravel distanceeng
dc.subject.keywordTransportationeng
dc.subject.keywordcycle transporteng
dc.subject.keywordeconometricseng
dc.subject.keywordtransportation developmenteng
dc.subject.keywordtransportation planningeng
dc.subject.keywordtransportation policyeng
dc.subject.keywordtravel behavioreng
dc.subject.keywordtravel demandeng
dc.subject.keywordAntioquia [Colombia]eng
dc.subject.keywordColombiaeng
dc.subject.keywordMedellineng
dc.titleUnderstanding cycling travel distance: The case of Medellin city (Colombia)eng
dc.typearticleeng
dc.typeinfo:eu-repo/semantics/articleeng
dc.typeinfo:eu-repo/semantics/publishedVersioneng
dc.typepublishedVersioneng
dc.type.localArtículospa

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