Measurement and spatiotemporal differentiation of emergency logistics coordination for natural disasters in the Yellow River Basin

Effective emergency logistics coordination is a critical component of climate and disaster risk governance, particularly in the climate-sensitive Yellow River Basin. This study aims to address the current lack of quantitative assessment and systematic understanding of how regional emergency logistics systems respond to natural disasters under evolving climatic conditions. Based on panel data from nine provinces and regions between 2012 and 2022, an evaluation framework is developed under the economic support-logistics transportation-information processing (ELI) structure. Methodologically, the study integrates entropy and CRITIC combination weighting into a static coupling coordination model to enhance the objectivity and sensitivity of indicator weighting. A dynamic coupling coordination model, combined with ArcGIS global trend analysis, is further employed to explore spatiotemporal differentiation and long-term evolution patterns. The results reveal that the overall coordination level of emergency logistics in the basin has steadily improved, evolving from initial imbalance toward synergistic development. Among subsystem relationships, “economic support-information processing” shows the most significant improvement, reflecting stronger data-driven and financial capacities. Spatially, coordination exhibits a “U-shaped” distribution, improving from upstream to downstream regions, while dynamic analysis indicates faster and more stable growth in the eastern provinces. This study contributes a novel static-dynamic coupling measurement framework that captures both spatial heterogeneity and temporal evolution. The findings provide policy-relevant insights for optimizing emergency logistics resource allocation, strengthening inter-provincial coordination, and enhancing regional resilience to climate-induced natural disasters.