The node-place model, accessibility, and station level transit ridership

This paper uses Sydney rail data to examine the relationship between station level ridership and local and regional accessibility. The authors 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. They map accessibility at transit stations, and use the number of opportunities within walking distance as an indicator of local access. They 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.

• Record URL:
  https://doi.org/10.1016/j.jtrangeo.2023.103739
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S0966692323002119
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/09666923
• Supplemental Notes:
  • © 2023 The Authors. Published by Elsevier Ltd. Abstract reprinted with permission of Elsevier.
• Authors:
  • Wu, Hao
  • Lee, Jinwoo (Brian)
  • Levinson, David
• Publication Date: 2023-12

Language

• English

Media Info

• Media Type: Web
• Features: Appendices; Figures; References; Tables;
• Pagination: 103739
• Serial:
  • Journal of Transport Geography
  • Volume: 113
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 0966-6923
  • Serial URL: http://www.elsevier.com/locate/jtrangeo

Subject/Index Terms

• TRT Terms: Access; Job opportunities; Public transit; Rail transit stations; Regional transportation; Ridership; Walking distance
• Geographic Terms: Sydney (Australia)
• Subject Areas: Passenger Transportation; Planning and Forecasting; Public Transportation; Society;

Filing Info

• Accession Number: 01898987
• Record Type: Publication
• Files: TRIS
• Created Date: Nov 13 2023 4:57PM