A Geospatial Dataset of Post-Earthquake Human Casualties in a Chinese Megacity

The geospatial distribution of post-earthquake human casualties is essential for urban planning and seismic rescue operations. This study assesses the distribution of post-earthquake injuries and fatalities in Chengdu, a major Chinese megacity, by integrating multiple big data sources, including Baidu heat map data, building vector data, point-of-interest data, and census data. The resulting dataset includes casualty distributions under seismic intensities VIII, IX, and X. It is structured in 200 m x 200 m grids with one-hour temporal resolution over a one-week period. The dataset is validated using census population data, and its accuracy is quantitatively evaluated. This high-resolution dataset can provide valuable insights for government agencies by supporting spatial pattern recognition and enhancing emergency response strategies.