Linking Multi-Anchor Bus Stop Accessibility to Bus Ridership: Evidence From GPS and Accelerometer Data
Loading...
Files
Size: 3.27 MB, File format: Adobe PDF
Date
Authors
Barati, Mehdi
Stewart, Tom
Smith, Melody
Curl, Angela
De Vos, Jonas
Duncan, Scott
Supervisor
Item type
Degree name
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier BV
Abstract
Public transport provides well-documented health, environmental, and economic benefits by promoting active travel, reducing car dependence, and enabling efficient land use. However, accessibility analyses often rely on measures defined at static spatial locations (e.g., around residential or zonal anchors), which may not capture the dynamic and context-dependent nature of accessibility across daily mobility. Incorporating accessibility across daily activity locations allows for a more behaviourally grounded assessment, reflecting the spatial and contextual conditions under which travel decisions are made. This study examines how accessibility to bus stops, measured at home, trip origin, and destination, relates to bus ridership in Auckland, New Zealand. Using high-resolution GPS and accelerometer data from 108 participants (835 trips), we applied mixed-effects logistic regression models and tested work status and neighbourhood residency duration as moderators. Results revealed an unexpected pattern: higher accessibility to bus stops around home (home-based accessibility) was negatively associated with bus ridership. Accessibility to bus stops around trip destinations (destination-based accessibility) showed a positive association with ridership, but only among newer residents. Employed participants were more sensitive to home-based accessibility than those who were unemployed. These findings suggest that accessibility-ridership relationships vary across key locations encountered along individual travel trajectories, likely indicating that measures defined at fixed, static locations may provide an incomplete representation of travel behaviour. Trip-specific, dynamic approaches may therefore offer a more behaviourally grounded basis for informing transport planning and policy.
Description
Keywords
3509 Transportation, Logistics and Supply Chains, 33 Built Environment and Design, 35 Commerce, Management, Tourism and Services, 3304 Urban and Regional Planning, Behavioral and Social Science, Basic Behavioral and Social Science, 15 Life on Land, 0909 Geomatic Engineering, 1205 Urban and Regional Planning, 1507 Transportation and Freight Services, 3304 Urban and regional planning, 3509 Transportation, logistics and supply chains, 4005 Civil engineering, Public transport, Accessibility, Objective travel behaviour, Ridership determinants, GPS tracking
Source
Journal of Public Transportation, ISSN: 1077-291X (Print); 2375-0901 (Online), Elsevier BV, 28, 100172-100172. doi: 10.1016/j.jpubtr.2026.100172
Publisher's version
Rights statement
© 2026 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Permanent link
Endorsement
Review
Supplemented By
Referenced By
Creative Commons license
Except where otherwise noted, this item's license is described as Creative Commons Attribution License