Quantitative analysis of collective earthquake evacuation behavior in large cities post-earthquake

Dongping Li; Weiyong Shen; Min Li; Jingfei Yin; Huayu Li

doi:10.1117/12.3033201

5 July 2024 Quantitative analysis of collective earthquake evacuation behavior in large cities post-earthquake

Dongping Li, Weiyong Shen, Min Li, Jingfei Yin, Huayu Li

Proceedings Volume 13184, Third International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024); 1318441 (2024) https://doi.org/10.1117/12.3033201
Event: 3rd International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024), 2024, Kuala Lumpur, Malaysia

Abstract

The examination of the spatial and temporal patterns of evacuees' movements in the community following an earthquake offers practical assistance to government emergency response and management. It also provides a more accurate foundation for earthquake relief efforts and the timely restoration of social order. On December 22, 2021, a series of earthquakes, ranging from 4.2 magnitude (M4.2), struck the Tianning District of Changzhou City, Jiangsu Province, China, leaving a profound impact on the local community. Through the utilization of 81.69 million mobile phone location records collected after the earthquake, this research conducted a quantitative analysis of people's locations post-earthquake at different scales. Furthermore, it identified the optimal bandwidth for kernel density estimation (KDE) in each study area. This study's findings revealed the flow pattern of evacuated individuals at the community level following a non-disastrous earthquake, offering a quantitative basis for the planning and optimization of disaster shelters. It holds significant research and application value in enhancing earthquake preparedness and disaster mitigation capabilities.

Citation Download Citation

Dongping Li, Weiyong Shen, Min Li, Jingfei Yin, and Huayu Li "Quantitative analysis of collective earthquake evacuation behavior in large cities post-earthquake", Proc. SPIE 13184, Third International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024), 1318441 (5 July 2024); https://doi.org/10.1117/12.3033201

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