With the intensification of global climate change, frequent extreme weather events have exerted significant impacts on urban built environments and residents’ lives. Strengthening urban resilience is therefore essential for disaster prevention and mitigation. Existing research has primarily focused on either vitality or recovery, which limits systematic understanding of disaster evolution. Investigating the coupling and coordination between daily vitality and Disaster Recovery is crucial for integrated urban disaster assessment and optimization. This study takes the 2023 extreme rainfall event in South China as the case and the Guanlan River Basin in Shenzhen as the study area. Based on mobile signaling data, an evaluation framework was constructed across three dimensions—urban recovery, vitality, and disaster–peace coupling coordination—to measure and assess the compound urban resilience of land parcels. Building on this framework, K-means clustering was employed to identify typical land parcel types, and spatial autocorrelation was applied to reveal the degree of spatial clustering of the indicators. Finally, regression models were used to investigate the underlying mechanisms of built environment factors influencing these indicators. The results indicate that Sustainable Daily Vitality and Resilient Disaster Recovery exhibit strong spatial correlation, with substantial variations in indicator values among land parcels according to their functional characteristics. These indicators are also largely influenced by built environment factors, including road configuration, building density, and service facilities. This study contributes to clarifying the development of resilience mechanisms in high-density cities and provides a reference for exploring the mechanisms of integrated urban disaster–resilience development.
Shen et al. (Fri,) studied this question.