Spatiotemporal patterns and factors influencing metro ridership of people with disabilities
Rail transit’s safety and convenience have made it a preferred option for people with disabilities. In this study, utilizing the geographically weighted regression based on the network weight matrix (NWM GWR) model, the authors investigated the spatiotemporal patterns and influencing factors of metro ridership among this group in Nanjing, China. The authors' findings revealed significant fluctuations in metro ridership across seasons, with a decrease observed during summer. The authors also discovered that people with disabilities had evening peak hours one hour earlier than regular peak hours on weekdays, while weekends did not exhibit a significant peak. Geographically, metro trips of individuals with disabilities were concentrated in Old City and Main City. Furthermore, the results revealed that except distance to CBD and access to barrier-free facilities, the other factors positively influenced weekday and weekend ridership of people with disabilities. These insights provide valuable guidance for enhancing the mobility and accessibility of people with disabilities.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/13619209
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Supplemental Notes:
- © 2024 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies. Abstract reprinted with permission of Elsevier.
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Authors:
- Zheng, Jiemin
- Hou, Yuting
- Hu, Mingxing
- Qi, Junheng
- Wang, Chunxin
- Li, Jianyu
- Publication Date: 2024-11
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: 104478
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Serial:
- Transportation Research Part D: Transport and Environment
- Volume: 136
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 1361-9209
- Serial URL: http://www.sciencedirect.com/science/journal/13619209
Subject/Index Terms
- TRT Terms: Persons with disabilities; Rail transit; Ridership; Travel patterns
- Geographic Terms: Nanjing (China)
- Subject Areas: Public Transportation; Railroads; Safety and Human Factors;
Filing Info
- Accession Number: 01937168
- Record Type: Publication
- Files: TRIS
- Created Date: Nov 18 2024 2:21PM