Exploring factors influencing the resilience of flood disaster response networks for old communities in China through an enhanced DNA-ISM framework

Abstract

As the intensity of flood disasters in old communities continues to escalate, the resilience of flood disaster response networks (FDRNs) is under growing threat. Addressing this pressing challenge, this study develops an enhanced framework integrating Dynamic Network Analysis (DNA) and Interpretive Structural Model (ISM) to systematically elucidate the factors and mechanisms that influence FDRN resilience. This framework first employed DNA to conceptualize the complex flood disaster response as the ‘A-T-R-I' dynamic network, delineating interrelationships among stakeholders, tasks, resources, and information. Subsequently, ISM was utilized to analyze the mechanisms that affect FDRN resilience. Validation of this framework through a case study of the Y community in Xuzhou City of China led to the development of a five-level ISM model, clarifying the interconnections between 10 critical FDRN nodes and 12 determinants of the FDRN resilience. Moreover, strategies for enhancing FDRNs resilience were provided, and the advantages of the enhanced DNA-ISM framework were highlighted. Overall, this study not only enriches the knowledge system of community resilience but also offers actionable guidance for decision-makers to develop resilient flood response networks, highlighting a globally applicable framework to enhance community resilience against flood disasters.