【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。更多还原

【Abstract】 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.更多还原