Optimal location of bike-sharing stations: A built environment and accessibility approach

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dc.contributor.authorMix Vidal, Richard Alexander
dc.contributor.authorHurtubia González, Ricardo
dc.contributor.authorRaveau Feliú, Sebastián
dc.contributor.otherCEDEUS (Chile)
dc.date.accessioned2023-01-13T19:14:43Z
dc.date.available2023-01-13T19:14:43Z
dc.date.issued2022
dc.description.abstractBike-sharing systems (BSS) have arisen worldwide as an attractive and sustainable travel alternative. As these systems have shown positive effects in reducing congestion and emissions, it is relevant to properly analyze their potential implementation in different contexts. Evidence has shown that BSS can only provide benefits when their network is adequately designed, in order to capture ridership and generate demand. This study proposes an integrated approach to model the demand of bike-sharing trips and the optimal location of stations in the system, based on built environment and accessibility-based variables. The methodology consists of two steps. On the first step, trip generation models are estimated through multiple regressions for different types of trips and periods of the week. On the second step, maximum demand coverage models are developed to allocate the BSS stations, according to the trip generation models and to different proposed scenarios. To test the proposed methodology, information from the BSS of Santiago de Chile is used. Results suggest a relationship between the built environment and the use of public bicycles, with a main effect of residential and office land uses, and the presence of long bicycle lanes near the stations. In addition, the presence of endogeneity, associated with the location of BSS stations and BSS demand generation, is confirmed and controlled using accessibility variables. As for the optimal location models, their outcomes differ significantly from the observed spatial distribution of stations in Santiago, with higher density in central areas and along corridors with cycling infrastructure. The forecasted demand level for the optimal distribution of stations is 64% higher than the observed demand. This study confirms the benefit of an integrated modelling of the trip generation and the station location to foster higher public bicycle usage, a relevant point for BSS decision planning and the promotion of a more sustainable mobility.
dc.description.funderFondecyt 1180605
dc.description.funderCEDEUS
dc.fuente.origenSIPA
dc.identifier.doi10.1016/j.tra.2022.03.022
dc.identifier.issn0965-8564
dc.identifier.urihttps://doi.org/10.1016/j.tra.2022.03.022
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/66310
dc.information.autorucEscuela de ingeniería ; Mix Vidal, Richard Alexander ; 0000-0002-7692-2007 ; 222894
dc.information.autorucFacultad de ingeniería ; Hurtubia González, Ricardo ; 0000-0002-7685-9300 ; 1015343
dc.information.autorucFacultad de ingeniería ; Raveau Feliú, Sebastián ; S/I ; 141271
dc.language.isoen
dc.nota.accesoContenido completo
dc.pagina.final142
dc.pagina.inicio126
dc.revistaTransportation Research Part A: Policy and Practicees_ES
dc.rightsacceso abierto
dc.subjectMovilidad sosteniblees_ES
dc.subjectBicicletas públicases_ES
dc.subjectLocalización óptimaes_ES
dc.subject.ods11 Sustainable cities and communities
dc.subject.odspa11 Ciudades y comunidades sostenibles
dc.titleOptimal location of bike-sharing stations: A built environment and accessibility approaches_ES
dc.typeartículo
dc.volumen160
sipa.codpersvinculados222894
sipa.codpersvinculados1015343
sipa.codpersvinculados141271
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