The Impact of Built Environment Factors on Elderly People’s Mobility Characteristics by Metro System Considering Spatial Heterogeneity

This study used metro smart-card data from Wuhan, China, and explored the impact of the built environment on the metro ridership and station travel distance of elderly people using geographically weighted regression (GWR). First, our results show that elderly ridership at transfer stations is signif...

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Bibliographic Details
Published inISPRS international journal of geo-information Vol. 11; no. 5; p. 315
Main Authors Yang, Hong, Ruan, Zehan, Li, Wenshu, Zhu, Huanjie, Zhao, Jie, Peng, Jiandong
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.05.2022
Subjects
Aging
Built environment
Case studies
Distance
elderly
Heterogeneity
Land use
metro
Mobility
Older people
Optimization
Patchiness
Population
Public transportation
Ridership
Smart cards
Spatial heterogeneity
Suburban areas
Subways
Transfer stations
Travel
travel behavior
Urban environments
China
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Summary:This study used metro smart-card data from Wuhan, China, and explored the impact of the built environment on the metro ridership and station travel distance of elderly people using geographically weighted regression (GWR). First, our results show that elderly ridership at transfer stations is significantly higher than that at non-transfer stations. The building floor area ratio and the number of commercial facilities positively impact elderly ridership, while the number of road intersections and general hospitals has the opposite impact, of which factors show significant heterogeneity. Second, our results show that the average travel distance of terminal stations is significantly higher than that of non-terminal stations, and the average travel distance of non-transfer stations is higher than that of transfer stations. The distance of stations from the subcenter and building volume ratio have a positive effect, while station opening time and betweenness centrality have a negative effect. Our findings may provide insights for the optimization of land use in the built environment of age-friendly metros, help in the formulation of relevant policies to enhance elderly mobility, and provide a reference for other similar cities.
ISSN:2220-9964
2220-9964
DOI:10.3390/ijgi11050315