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dc.contributor.authorWu, Hao
dc.contributor.authorLevinson, David
dc.contributor.authorOwen, Andrew
dc.date.accessioned2019-10-03
dc.date.available2019-10-03
dc.date.issued2019-10-03
dc.identifier.urihttp://hdl.handle.net/2123/21186
dc.description.abstractHow much of the variation in transit mode share is attributable to accessibility is not well understood, despite its significant policy implications. It is hypothesized that better transit accessibility leads to higher transit mode share. This paper explains block group level transit mode share using transit accessibility in a logistic model for 48 major US metropolitan areas. Transit accessibility alone explains much of the variation in transit mode share for all 48 regions despite their geographical differences (adjusted R2 0.61, potential accessibility); models for individual cities have stable and interpretable parameters for transit accessibility. The models better explain mode share in cities with higher person weighted transit accessibility and larger populations; an adjusted R2 of 0.76 is achieved for New York City with transit accessibility as the only explanatory variable. Additional automobile accessibility and income variables modestly improve model fit. Time-decay functions fitted to accessibility measures better explain mode choice than the isochrone accessibility, and suggest the catchment area affecting transit mode choice to be within 35 minutes. This work contributes to the understanding of transit mode share by solidifying its link with accessibility, which is determined by the structure of the transport network and land development.en_AU
dc.language.isoen_USen_AU
dc.subjectAccessen_AU
dc.subjectContinuous Accessibilityen_AU
dc.subjectTransit Mode Shareen_AU
dc.titleCommute Mode Share and Access to Jobs across US Metropolitan Areasen_AU
dc.typePreprinten_AU
dc.subject.asrc090607en_AU
dc.subject.asrc120506en_AU
dc.subject.asrc140217en_AU
dc.type.pubtypePre-printen_AU


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