A Network Resilience Assessment Framework for Multifunctional Infrastructure Networks in Support of Sustainable Urban Development: A Case Study of Dual-Use Public Infrastructure in Ji’an, China

Climate change and rapid urbanization intensify urban risks, challenging sustainable development and requiring coordinated infrastructure planning. Yet studies of individual networks provide limited insight into coordinated changes across ecological, transport, and public service networks. This study develops a common framework using network-specific resilience indicators to assess China’s “dual-use” public infrastructure. The Minimum Cumulative Resistance (MCR) model maps ecological connectivity, complex network theory represents road topology, and a facility–community bipartite network measures service accessibility. Static indicators assess green-network connectivity; progressive disturbance simulations assess road and community-service resilience. We compare current and planned scenarios across five central urban areas in Ji’an, China. Results indicate: (1) in the examined cases, green-network structural improvements are associated with connectivity optimization, highlighting corridor connections alongside green-space provision; (2) road resilience depends on network redundancy and structural stability; (3) community-service resilience reflects facility distribution and accessibility; and (4) comparisons across networks reveal concurrent improvements and contrasting changes, indicating potential planning synergies and trade-offs. Responses varied with baseline network conditions. By translating ecological connectivity, transportation performance under disruption, and community-service accessibility into measurable, network-specific resilience indicators, the framework supports infrastructure planning for resilience and sustainable urban development.