Examining the influence of neighborhood and street-level built environment on fitness jogging in Chengdu, China: A massive GPS trajectory data analysis

被引:38
作者
Yang, Wei [1 ]
Hu, Jie [1 ]
Liu, Yong [1 ]
Guo, Wenbo [2 ]
机构
[1] Chongqing Univ, Sch Management Sci & Real Estate, Chongqing 400045, Peoples R China
[2] Univ Oxford, Sch Geog & Environm, Oxford OX2 6JF, England
基金
中国国家自然科学基金;
关键词
Fitness jogging activity; Trajectory big data; Built environment; Spatial regression; Street view images; PHYSICAL-ACTIVITY; ASSOCIATIONS; WALKING; WALKABILITY; MORTALITY; NETWORK; VIEW; DESIGN; TRAVEL;
D O I
10.1016/j.jtrangeo.2023.103575
中图分类号
F [经济];
学科分类号
02 ;
摘要
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.
引用
收藏
页数:15
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