The Node-Place Model, Accessibility, and Station Level Transit Ridership

Hao Wu and David Levinson ()
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David Levinson: TransportLab, School of Civil Engineering, University of Sydney

Working Papers from University of Minnesota: Nexus Research Group

Abstract: This paper uses Sydney rail data to examine the relationship between station level ridership and local and regional accessibility. We use net transit accessibility, which is the additional number of opportunities reachable by transit over walking to represent the regional connectivity value provided by transit. We map accessibility at transit stations, and use the number of opportunities within walking distance as an indicator of local access. We find elements of place (or local) access, including access to jobs and to residents within walking distance (local access), and nodal (or regional) access, including transit access to distant jobs and residential locations are both significant indicators of station level ridership. In particular, the number of jobs within walking distance of a transit station is the best single predictor of transit ridership. This paper highlights the importance of high density around station areas for transit ridership.

Keywords: transportation; accessibility; public transport; transport networks (search for similar items in EconPapers)
JEL-codes: R40 (search for similar items in EconPapers)
Date: 2023
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Published in Journal of Transport Geography, Volume 113 (Dec 2023) 103739

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https://doi.org/10.1016/j.jtrangeo.2023.103739 First version, 2023 (application/pdf)

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Persistent link: https://EconPapers.repec.org/RePEc:nex:wpaper:transportist-2023-nodeplace-14

DOI: 10.1016/j.jtrangeo.2023.103739

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