TY  - JOUR
PY  - 2023//
TI  - Examining the influence of neighborhood and street-level built environment on fitness jogging in Chengdu, China: a massive GPS trajectory data analysis
JO  - Journal of transport geography
A1  - Yang, Wei
A1  - Hu, Jie
A1  - Liu, Yong
A1  - Guo, Wenbo
SP  - e103575
EP  - e103575
VL  - 108
IS  - 
N2  - 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.<p />  <p>Language: en</p>
LA  - en
SN  - 0966-6923
UR  - http://dx.doi.org/10.1016/j.jtrangeo.2023.103575
ID  - ref1
ER  -