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.

地震后人员伤亡的空间分布特征，对于城市规划与地震应急救援行动均具有重要意义。本研究以中国特大城市成都为研究区域，整合百度热力图数据、建筑矢量数据、兴趣点（Point-of-Interest）数据与人口普查数据等多源大数据，对震后人员受伤与死亡的分布情况进行评估。本数据集涵盖了地震烈度Ⅷ、Ⅸ、Ⅹ度场景下的人员伤亡空间分布数据，以200米×200米的网格为空间单元，时间分辨率为1小时，覆盖时长为一周。本数据集通过人口普查数据进行了有效性验证，并对其精度开展了定量评估。该高分辨率数据集可辅助政府部门开展空间格局识别、优化应急响应策略，从而为其提供极具价值的决策参考。