自发地理信息支持下建成环境与移动型体力活动相关性荟萃分析  

Meta-analysis on Associations Between the Built Environment and Mobile Physical Activity Using Volunteered Geographic Information

作　　者：黄邓楷 刘烨 周佩玲 HUANG Dengkai;LIU Ye;ZHOU Peiling(the School of Architecture&Urban Planning,Shenzhen University;the School of Architecture,Harbin Institute of Technology,Shenzhen)

机构地区：[1]深圳大学建筑与城市规划学院 [2]哈尔滨工业大学(深圳)建筑学院

出　　处：《风景园林》2024年第4期12-20,共9页Landscape Architecture

基　　金：国家自然科学基金青年项目“多源轨迹数据支持下社区绿道体力活动适宜性的测度与优化研究”(编号52308069);国家自然科学基金面上项目“育儿群体时空行为及其体验与地理环境互动的健康效应与促进研究”(编号42371238);广东省哲学社科年度课题“育儿上班族日常活动困境的形成机制分异与支持研究”(编号GD23XGL087);深圳市哲学社会科学规划课题“深圳市级绿道空间品质测度和户外体力活力空间分异研究”(编号SZ2023C014);深圳市科创委稳定支持项目“基于多元时空数据因果效应推断的深圳市公共绿地资源全龄健康促进效应评估”(编号20231129125223001)。

摘　　要：【目的】掌握体力活动与建成环境特征的关联对主动干预公众健康具有重大意义。【方法】为系统地验证建成环境的移动型体力活动使用效能,根据自发地理信息、体力活动、环境特征等关键词从Web of Science等数据库筛选出31篇描述统计汇报完整的学术论文,对文章信息、样本基本信息、研究分析方法、因变量和自变量信息等内容进行系统梳理,在此基础上对论文结果进行量化荟萃分析。【结果】自然环境、建成环境、社会环境及主观感知环境均与移动型体力活动存在一致的显著相关关系,关联程度因体力活动类型而异。自然环境中,归一化植被指数、绿化空间密度等自上而下的绿化水平与各类体力活动的正相关性最强;建成环境中,道路密度也与移动型体力活动存在一致的显著正相关关系,而便利设施的供给、人行道宽度仅对步行活动有积极的促进作用;除骑行活动外,居住用地密度与步行、跑步及一般体力活动都有显著的正相关关系。【结论】大批量、多尺度、高精度的体力活动自发地理信息有助于研究者客观掌握城市街区体力活动的分布,比较不同建成环境在多种时空尺度下的体力活动访问模式及使用效能,进而构建街区环境特征与体力活动适宜性的关联性模型;基于荟萃分析的发现为城市规划者和政策制定者优化和新建体力活动干预设施提供了使用效能预测的经验模型,有助于更科学合理地建设促进健康行为的人居环境。[Objective] The emergence of volunteered geographic information(VGI) has provided new possibilities for accurately evaluating the use efficiency of physical activity in the built environment. To systematically analyze the association between urban neighborhood environments and mobile physical activity, a large number of existing empirical researches need to be systematically summarized and reviewed. However, there is a lack of systematic review and analysis based on VGI data, which makes it difficult to pinpoint information on the location and spatial distribution of individual physical activities, and to reflect the built environment preferences of mobile physical activities. Understanding the association between physical activity and the characteristics of built environments is of great significance for proactive intervention in public health.[Methods] To systematically validate the use efficiency of mobile physical activity in the built environment, this research screens 31 academic papers with complete descriptive statistical reporting from Web of Science database and other databases using such keywords as volunteered geographic information,physical activity, and environmental characteristic. The literature included in the meta-analysis is systematically sorted out with the main information extracted,which can be divided into the following five aspects: 1) Article information: title,author, and year of publication;2) basic sample information: research area and scale, and sample size;3) analysis of the research method: type of regression model, basic unit of spatial analysis, extent of buffer zone, implementation of descriptive statistics or not, control of socioeconomic attributes or not, etc.;4) information on dependent variables: dimensions of physical activity indicators(intensity, diversity and suitability), type of mobile physical activity, and source of physical activity data;5) information on independent variables: selection of environmental indicators(physical, social and perceived indicators) and dat

关 键 词：城乡空间规划 大数据 自发地理信息 荟萃分析 弹性值 

分 类 号：TU984[建筑科学—城市规划与设计]