文献类型：期刊文献

英文题名：Spatio-Temporal Patterns of Fitness Behavior in Beijing Based on Social Media Data

作者：Tian, Bin[1,2];Meng, Bin[1,2];Wang, Juan[1,2];Zhi, Guoqing[1,2];Qi, Zhenyu[1,2];Chen, Siyu[1,2];Liu, Jian[3]

第一作者：Tian, Bin

通讯作者：Meng, B[1];Meng, B[2]

机构：[1]Beijing Union Univ, Coll Appl Arts & Sci, Beijing 100191, Peoples R China;[2]Beijing Union Univ, Lab Urban Cultural Sensing & Comp, Beijing 100191, Peoples R China;[3]Capital Normal Univ, Coll Resource Environm & Tourism, Beijing 100048, Peoples R China

第一机构：北京联合大学应用文理学院

通讯机构：[1]corresponding author), Beijing Union Univ, Coll Appl Arts & Sci, Beijing 100191, Peoples R China;[2]corresponding author), Beijing Union Univ, Lab Urban Cultural Sensing & Comp, Beijing 100191, Peoples R China.|[11417]北京联合大学;[114172]北京联合大学应用文理学院;

年份：2022

卷号：14

期号：7

外文期刊名：SUSTAINABILITY

收录：;Scopus(收录号：2-s2.0-85128195144);WOS:【SSCI(收录号:WOS:000781448900001)，SCI-EXPANDED(收录号:WOS:000781448900001)】；

基金：This research was funded by the National Natural Science Foundation of China (Grant Nos. 41671165, 51878052) and the Academic Research Projects of Beijing Union University (Grant Nos. ZK40202001, RB202101).

语种：英文

外文关键词：social media; fitness behavior; LDA model; geodetector; Beijing spatio-temporal patterns; Weibo

摘要：Fitness is an important way to ensure the health of the population, and it is important to actively understand fitness behavior. Although social media Weibo data (the Chinese Tweeter) can provide multidimensional information in terms of objectivity and generalizability, there is still more latent potential to tap. Based on Sina Weibo social media data in the year 2017, this study was conducted to explore the spatial and temporal patterns of urban residents' different fitness behaviors and related influencing factors within the Fifth Ring Road of Beijing. FastAI, LDA, geodetector technology, and GIS spatial analysis methods were employed in this study. It was found that fitness behaviors in the study area could be categorized into four types. Residents can obtain better fitness experiences in sports venues. Different fitness types have different polycentric spatial distribution patterns. The residents' fitness frequency shows an obvious periodic distribution (weekly and 24 h). The spatial distribution of the fitness behavior of residents is mainly affected by factors, such as catering services, education and culture, companies, and public facilities. This research could help to promote the development of urban residents' fitness in Beijing.