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dc.contributor.authorMarquez, Luis
dc.contributor.authorSoto, Jose J.
dc.date.accessioned2022-01-24T21:18:00Z
dc.date.available2022-01-24T21:18:00Z
dc.date.issued2021-06-30
dc.date.submitted2022-01-24
dc.identifier.citationLuis Márquez, Jose J. Soto, Integrating perceptions of safety and bicycle theft risk in the analysis of cycling infrastructure preferences, Transportation Research Part A: Policy and Practice, Volume 150, 2021, Pages 285-301, ISSN 0965-8564, https://doi.org/10.1016/j.tra.2021.06.017.spa
dc.identifier.urihttps://hdl.handle.net/20.500.12585/10398
dc.description.abstractCycling infrastructure development is an effective but expensive urban policy to encourage people to use bicycles. Although people usually prefer infrastructure with high cycling priority, authorities in some cities have focused policies on adapting part of current motor vehicle infrastructure to increase the length and coverage of bicycle infrastructure at the road level, which can help to lower infrastructure investment costs. Perceptions are also important in developing programs to promote cycling and they may even be more important for cyclists than the reality itself. In this research, we integrated the perceptions of cycling safety and theft risk into a hybrid discrete choice model in order to better understand cycling infrastructure preferences, using Bogota, a bike-friendly city with security concerns, as a case study. We found that concerns about safety are a significant deterrent to using bike lanes at the road level in the city while perceptions of theft risk affect the value or importance that bicyclists place on travel time. Based on modeling findings we proposed hard and soft measures to encourage bicyclists to use bike lanes at the road level.spa
dc.format.extent17 páginas
dc.format.mimetypeapplication/pdfspa
dc.language.isoengspa
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.sourceTransportation Research Part A: Policy and Practice Vol. 150 2021spa
dc.titleIntegrating perceptions of safety and bicycle theft risk in the analysis of cycling infrastructure preferencesspa
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dcterms.bibliographicCitationXiao et al., 2020 Xiao, G., Wang, R., Zhang, C., & Ni, A. (2020). Demand prediction for a public bike sharing program based on spatio-temporal graph convolutional networks. Multimedia Tools Appl. https://doi.org/10.1007/s11042-020-08803-y.spa
dcterms.bibliographicCitationYáñez et al., 2010 M.F. Yáñez, S. Raveau, J.D. Ortúzar Inclusion of latent variables in Mixed Logit models: Modelling and forecasting Transport. Res. Part A: Policy Pract., 44 (9) (2010), pp. 744-753, 10.1016/j.tra.2010.07.007spa
dcterms.bibliographicCitationZander et al., 2013 A. Zander, E. Passmore, C. Mason, C. Rissel Joy, exercise, enjoyment, getting out: a qualitative study of older people’s experience of cycling in Sydney, Australia J. Environ. Public Health, 1–6 (2013), 10.1155/2013/547453spa
dcterms.bibliographicCitationZhang et al., 2007 L. Zhang, S.F. Messner, J. Liu Bicycle-Theft Victimization in Contemporary Urban China A Multilevel Assessment of Risk and Protective Factors J. Res. Crime Delinquency, 44 (4) (2007), pp. 406-426, 10.1177/0022427807305852spa
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dc.identifier.doihttps://doi.org/10.1016/j.tra.2021.06.017.
dc.subject.keywordsBicycle infrastructurespa
dc.subject.keywordsSafety perceptionspa
dc.subject.keywordsTheft riskspa
dc.subject.keywordsBogotáspa
dc.subject.keywordsHybrid discrete choice modelingspa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.rights.ccAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.identifier.instnameUniversidad Tecnológica de Bolívarspa
dc.identifier.reponameRepositorio Universidad Tecnológica de Bolívarspa
dc.publisher.placeCartagena de Indiasspa
dc.subject.armarcLEMB
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Universidad Tecnológica de Bolívar - 2017 Institución de Educación Superior sujeta a inspección y vigilancia por el Ministerio de Educación Nacional. Resolución No 961 del 26 de octubre de 1970 a través de la cual la Gobernación de Bolívar otorga la Personería Jurídica a la Universidad Tecnológica de Bolívar.