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城市居民日常身体活动时空分异特征及影响因素
引用本文:姜玉培,甄峰,赵梦妮,曹晨.城市居民日常身体活动时空分异特征及影响因素[J].地理科学,2019,39(9):1496-1506.
作者姓名:姜玉培  甄峰  赵梦妮  曹晨
作者单位:南京大学建筑与城市规划学院,江苏南京210093;江苏省智慧城市设计仿真与可视化技术工程实验室,江苏南京210093;江苏省智慧城市设计仿真与可视化技术工程实验室,江苏南京210093;南京大学地理与海洋科学学院,江苏南京210023
基金项目:国家自然科学基金项目(41571146)
摘    要:依托南京主城区居民日常身体活动调查数据,基于身体活动时空维度,挖掘城市居民日常身体活动时空分异特征,并采用混合效应模型探究身体活动分异的影响因素。研究表明:居民日常身体活动时空异质特征明显。工作日/非工作日不同类型身体活动时间安排及个体间差异均显著;工作性、交通性、家务性身体活动空间制约明显,而休闲性身体活动空间分布更具弹性;与工作日相比,非工作日不同类型身体活动空间范围变化收敛与扩散特征并存。活动空间范围、个人社会经济属性、自身健康状况对居民日常身体活动分异均具有显著影响。具体而言,居民日常活动空间范围决定身体活动的空间适应与选择;社会分工差异导致不同性别、年龄人群身体活动具有指向性;身体活动时间出现与个人社会经济实力倒置现象;而良好健康状态会激励居民日常身体活动的保持。

关 键 词:身体活动  健康地理学  地理学  混合效应模型  南京
收稿时间:2018-10-15
修稿时间:2019-01-10

Characteristics of Spatio-temporal Difference and Influencing Factors of Urban Resident's Daily Physical Activity
Jiang Yupei,Zhen Feng,Zhao Mengni,Cao Chen.Characteristics of Spatio-temporal Difference and Influencing Factors of Urban Resident's Daily Physical Activity[J].Scientia Geographica Sinica,2019,39(9):1496-1506.
Authors:Jiang Yupei  Zhen Feng  Zhao Mengni  Cao Chen
Institution:School of Architecture and Urban Planning, Nanjing University, Nanjing 210093, Jiangsu, China
Provincial Enginnering Laboratory of Smart City Design Simulation & Visualization, Jiangsu, Nanjing University, Nanjing 210093, Jiangsu, China;
School of Geography and Ocean Science, Nanjing University, Nanjing 210023, Jiangsu, China
Abstract:Promoting physical activity is a priority of public health strategy for preventing major chronic diseases because of its popularity and known health benefits. Therefore, the related research of physical activity is an important field of study, and it has become a hot theme between multiple disciplines at home and abroad. The point-based locations regularly visited and the time spend in the past week by 1 102 participants were collected in the main urban area of Nanjing, this study analyzes the spatial-temporal characteristics of daily physical activity of urban residents. The mixed effect model was used to furtherly explore associations between the range of physical activity space, social-demographic characteristics, health status and the difference of self-reported physical activity. The results show that: 1) The spatial and temporal heterogeneity of residents' daily physical activity is obvious. There were significant differences in time allocation of different types of physical activity and individuals between weekday and weekend. Work-, traffic-, housework-physical activity space are obviously restricted, while leisure-physical activity space distribution is more flexible. In addition, compared with the weekday, there are convergence and diffusion characteristics in the changes of range of different types physical activity space in weekend. 2) The range of physical activity space, individual social-demographic attributes, and their own health status all have significant effects on the difference of residents' daily physical activity. Specifically,, considering the locations of physical activity visited, this study found that the spatial scope of daily physical activity determine the spatial adaptation and choice of physical activity. Meanwhile, differences in social division of labor lead to physical activity in different sex and age groups. Besides, personal social and economic strength is negatively correlated with physical activity. However, good health may particularly encourages residents to maintain or increase more daily physical activity.
Keywords:physical activity  Health Geography  geography mixed effect models  Nanjing  
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