Two-Stage Integrated Dynamic Assessment Method for Urban Resilience Based on Multisource Data

Urban resilience assessment (URA) is challenging because of urban system complexity and dynamic resilience variability. This paper develops a URA method with comprehensive feature consideration and integrated data use and then constructs a hierarchical URA criteria system. Subsequently, a two-stage integrated dynamic assessment method based on multisource data is presented, wherein the subjective-objective combination weights are determined, and the dimensional and overall urban resilience (UR) indexes are constructed. The applicability and superiority of the proposed method to existing methods are verified using a case study in Beijing. The results showed that UR in Beijing has improved substantially in 2016-2020; social and ecological dimensions are important for UR improvement; and synergies exist between different UR dimensions, which are crucial for resilient urban development. This study provides a systematic solution for URA that features a dynamic perspective, multisource data utilization, and subjective-objective combination weights, enhancing URA comprehensiveness and accuracy.