Analysis of regional resilience network from the perspective of relational and dynamic equilibrium

In the context of frequent crises and increasing levels of connectivity across areas, regional resilience networks have gained widespread attention as a novel form of organization and paradigm of regional resilience research. The majority of recent research examines the resilient structure of regional networks from a single static perspective, ignoring the related feature of regional resilience and its evolving reality. This study aims to propose a method for quantifying the strength of related resilience in the relational perspective as a rule for constructing multidimensional regional resilience networks. On this basis, the structure and node characteristics of the regional ecological, economic, and social resilience network are investigated from the dynamic equilibrium perspective by applying network analysis methods and node disruption simulation. The results show that, in terms of structure, the ecological resilience network has superior connectivity, is undergoing a transition toward a resilient structure, and performs moderately under deliberate attacks. The economic resilience network has the best resilient structure, and it has shown the greatest susceptibility to deliberate threats. Despite having the least resilient structure, the social resilience network has the highest level of robustness. The node characteristics investigation reveals the similarity between the significant nodes identified by the modified multivariate characteristic model and those with substantial impacts on network efficiency, as revealed by sequential attack simulation. Furthermore, optimization methodologies and policy suggestions are given following the characteristics of the networks. This study can provide scientific references for the planning and policy formulation of synergistic development of regional resilience.