After successfully inhibiting the first wave of COVID-19 transmission through a city lockdown, Wuhan implemented a series of policies to gradually lift restrictions and restore daily activities. Existing studies mainly focus on the intercity recovery under a macroscopic view. How does the intracity mobility return to normal? Is the recovery process consistent among different subareas, and what factor affects the post-pandemic recovery? To answer these questions, we sorted out policies adopted during the Wuhan resumption, and collected the long-time mobility big data in 1105 traffic analysis zones (TAZs) to construct an observation matrix (A). We then used the nonnegative matrix factorization (NMF) method to approximate A as the product of two condensed matrices (WH). The column vectors of W matrix were visualized as five typical recovery curves to reveal the temporal change. The row vectors of H matrix were visualized to identify the spatial distribution of each recovery type, and were analyzed with variables of population, GDP, land use, and key facility to explain the recovery driving mechanisms. We found that the “staggered time” policies implemented in Wuhan effectively staggered the peak mobility of several recovery types (“staggered peak”). Besides, different TAZs had heterogeneous response intensities to these policies (“staggered area”) which were closely related to land uses and key facilities. The creative policies taken by Wuhan highlight the wisdom of public health crisis management, and could provide an empirical reference for the adjustment of post-pandemic intervention measures in other cities.

在通过封城成功抑制了第一波 COVID-19 传播后，武汉实施了一系列政策，逐步解除限制并恢复日常活动。现有研究主要集中在宏观视角下的城际复苏。城内流动性如何回归常态？不同分区之间的恢复过程是否一致，影响大流行后恢复的因素是什么？为了回答这些问题，我们梳理了武汉复工期间采取的政策，并收集了1105个交通分析区（TAZ）的长时间流动大数据，构建了一个观察矩阵（A ）。然后我们使用非负矩阵分解 (NMF) 方法将A近似为两个压缩矩阵 ( WH). W矩阵的列向量被可视化为五个典型的恢复曲线以揭示时间变化。H的行向量对矩阵进行可视化，以确定每种恢复类型的空间分布，并用人口、GDP、土地利用和关键设施等变量进行分析，以解释恢复驱动机制。我们发现，武汉实施的“错峰”政策有效地错开了几种恢复类型的高峰流动（“错峰”）。此外，不同的 TAZ 对这些与土地利用和关键设施密切相关的政策（“交错区域”）的响应强度不同。武汉采取的创新政策凸显了公共卫生危机管理的智慧，可为其他城市调整疫情后干预措施提供经验借鉴。