Abstract:This study investigates the application of mobile signaling data in earthquake emergency response,with a focus on analyzing the spatial and temporal distribution characteristics of populations before and after an earthquake. The objective is to extract insights into population heat map variations in relation to lifeline infrastructure(e.g.,major roads and communication networks)and earthquake-induced geological disasters. The research findings indicate a strong correlation between changes in population heat map distributions and earthquake disaster phenomena. Based on distinct patterns of change,certain types of earthquake-related disasters can be inferred,particularly in key infrastructure areas such as major roads,geological hazard zones,and communication base stations. Moreover,the rate of population heat map variation demonstrates high adaptability in identifying severely affected areas,with its directional trends generally aligning with the propagation of the earthquake's impact field. These results suggest that mobile signaling data can provide critical real-time assessments of disaster severity,lifeline infrastructure conditions,and geological hazards in the immediate aftermath of an earthquake. Additionally,it serves as an auxiliary tool for refining earthquake impact field estimations and as a crucial emergency response dataset during blackout periods when conventional data sources may be unavailable. Furthermore,it supplements rapid earthquake emergency assessment products,offering robust support for emergency response efforts,situational analysis,and strategic decision-making.