Citation

Yang W, Hu J, Liu Y, Guo W. J. Transp. Geogr. 2023; 108: e103575.

Copyright

(Copyright © 2023, Elsevier Publishing)

DOI

10.1016/j.jtrangeo.2023.103575

PMID

unavailable

Abstract

Few studies have investigated the influences of the multilevel built environment (BE) factors on jogging, compared with walking or cycling. This study explored neighborhood and street-level BE factors' associations with fitness jogging via multi-source urban data. Empirical analysis of Chengdu, China showed the following: (1) BE factors, including sky view factor, bus stop density, presence of waterscapes, and geographic location significantly, impact jogging activity. (2) The significance and effect of BE factors vary across time. Jogging activities are more sensitive to BE on weekends than on weekdays. (3) Jogging trips are more closely related to BE factors in urban areas than in the suburbs. Jogging activities are mainly affected by the artificial environment in urban areas and the natural environment in suburban areas. Moreover, the effects of multiple BE factors become obvious as trip distance increases. These findings call for urban planning and infrastructure provision strategies to promote jogging activities.

Language: en

Keywords

Built environment; Fitness jogging activity; Spatial regression; Street view images; Trajectory big data