疫后恢复期基于时空行为的武汉市主城区活力空间及发展策略研究  

Optimization Strategy and Dynamic Space of Wuhan Urban Areas Based on Spatio-temporal Behavior in Epidemic Recovery Period

作　　者：吴梦雨 王江徽 隗剑秋 Wu Mengyu;Wang Jianghui;Yu Jianqiu

机构地区：[1]武汉工程大学土木工程与建筑学院

出　　处：《华中建筑》2023年第4期29-35,共7页Huazhong Architecture

基　　金：2018年度湖北省建设科技计划项目软科学研究“POE评价下的现代适老养老公共空间修补更新改造研究”(编号:鄂建函【2018】1344号);2020年武汉研究院开放性课题“武汉市养老服务业空间分异特征与布局模式研究”(编号:IWHS20202040)。

摘　　要：疫情改变了人们的生活内容和行为。基于疫后恢复期城市居民时空行为,对城市活力时空间进行重新识别与优化,有助于加快城市经济恢复、促进城市健康发展。借助Python获取百度慧眼2021年1月31日(休息日)和2021年2月1日(工作日)武汉主城区居民的位置数据,运用ArcGIS核密度分析、重分类、叠加分析、标准差椭圆等方法进行分析。首先,得出武汉主城区居民在休息日和工作日的不同时空行为特征;接着,通过与疫情前同时期对比,挖掘疫后恢复期人口时空行为新特征;同时,基于午间经济与夜间经济的特征研究,提出武汉市主城区职住分离特征,并采用认可度较高的椭圆标准差及重心分析法进行了验证。最后,基于新现象和不足,对武汉市在未来的发展提出建议与对策。The epidemic has changed people's past life content and behavior.Based on the spatio-temporal behavior of urban residents in the epidemic recovery period,the reidentification and optimization of urban vitality space will help to accelerate the urban economic recovery and to promote the healthy development of the city.Get the positioning data of residents in the main urban area of Wuhan on January 31,2021(rest day)and February 1,2021(working day)with Python.Using the methods of ArcGIS kernel density,reclassification,superposition analysis and standard deviation ellipse,we obtain the different temporal and spatial behavior characteristics of residents in the main urban area of Wuhan on rest days and working days.By comparing with the same period before the epidemic,we explore the new characteristics of population spatiotemporal behavior in the recovery period.At the same time,based on the characteristics of noon economy and night economy,we put forward the characteristics of job-residential separation in the main urban area of Wuhan,and verify them by using elliptic standard deviation and barycenter analysis.Finally,based on the new phenomenon and shortage,the future development of Wuhan city is prospected.

关 键 词：后疫情时代 时空行为 手机信令 武汉主城区 职住分离 

分 类 号：TU984[建筑科学—城市规划与设计]