Structural Resilience Analysis of Emergency Industry Supply and Demand Networks Driven by the Internet of Things in Public Health Emergency Scenarios

Addressing China’s emergency industry challenges—supply–demand imbalances and insufficient long-term development under the “phased emergency” paradigm amidst frequent sudden disasters—this study innovatively constructed a scenario supply and demand network model driven by the Internet of Things technology, taking public health emergency events as a typical scenario to identify potential demand. The Internet of Things provides dynamic information support for the supply and demand network by collecting emergency materials, equipment, and personnel status data in real time, improving the network’s responsiveness and transparency. This model bridges emergency needs with industrial supply capabilities and incorporates complex network analysis to reveal structural patterns, facilitating the industry’s shift toward a “normalized and sustainable” model. Results demonstrate that the public health emergency-based supply–demand network exhibits characteristics of a resilient network, possessing certain risk resilience. Node-disruption simulations uniquely reveal the nonlinear dynamics of network resilience and pinpoint critical thresholds essential for maintaining systemreliability and recovery capacity. These findings emphasize the importance of preemptive intervention during critical periods and protecting key nodes in the emergency supply chain, and highlight the key role of Internet of Things technology in improving the resilience of the supply and demand network of the emergency industry.