COMMUNITY DIFFERENTIATION OF SPATIAL AND TEMPORAL CHARACTERISTICS OF OUTDOOR PHYSICAL ACTIVITY IN URBAN ELDERLY: AN EMPIRICAL STUDY BASED ON GIS, GPS AND ACCELEROMETER
WU Zhi-jian1, WANG Zhu-ying1, SONG Yan-li-qing1, WANG Hou-lei1, ZHANG Fan2, YU Peng-fei1, ZHANG Xu-hui1
1. College of Sports Science, Nanjing Normal University, Nanjing 210023, China;
2. Nanjing Forest Police College, Nanjing 210023, China
Abstract：Based on the first-hand data of GPS activity track and GT3+ survey of elderly people in Nanjing in 2017, combined with time geography, MATLAB visualization technology and GIS method to analyze the spatial-temporal characteristics, activity space shape and area of outdoor physical activity of the elderly people in different communities in Nanjing were analyzed and compared. The research shows that:1) There is obvious community differentiation in the outdoor physical activity of the elderly on working days or rest days, which is characterized by the largest number of marginal communities, followed by integrated communities, with the lowest units and traditional communities; compared with the rest days, working days The MVPA time, total counts, and outdoor activity time increased significantly. 2) There are obvious community differences in the regularity of outdoor physical activity time on the working day. The regularity of the activities of the elderly in the marginal, traditional and comprehensive communities is good, forming a typical "double peak" feature, and the activity time of the unit community is more flexible; rest the edge of the community is characterized by "three peaks". 3) There is obvious community differentiation in the physical form of physical activity of the elderly on working days.
吴志建, 王竹影, 宋彦李青, 王厚雷, 张帆, 俞鹏飞, 张旭辉. 城市老年人户外体力活动时空特征的社区分异——基于GIS、GPS、加速度计的实证研究[J]. 人文地理, 2019, 34(5): 53-61.
WU Zhi-jian, WANG Zhu-ying, SONG Yan-li-qing, WANG Hou-lei, ZHANG Fan, YU Peng-fei, ZHANG Xu-hui. COMMUNITY DIFFERENTIATION OF SPATIAL AND TEMPORAL CHARACTERISTICS OF OUTDOOR PHYSICAL ACTIVITY IN URBAN ELDERLY: AN EMPIRICAL STUDY BASED ON GIS, GPS AND ACCELEROMETER. HUMAN GEOGRAPHY, 2019, 34(5): 53-61.
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