Spatial and temporal evolution of disaster situation based on social media: a case study of the 2018 Beijing rainstorm

Mengru Ming

doi:10.1117/12.3010364

15 November 2023 Spatial and temporal evolution of disaster situation based on social media: a case study of the 2018 Beijing rainstorm

Mengru Ming

Author Affiliations +

Proceedings Volume 12815, International Conference on Remote Sensing, Mapping, and Geographic Systems (RSMG 2023); 1281526 (2023) https://doi.org/10.1117/12.3010364
Event: International Conference on Remote Sensing, Mapping, and Geographic Systems (RSMG 2023), 2023, Kaifeng, China

Abstract

Using social media to mine disaster information (situational awareness) is of great significance for disaster management. With the development of technology, researchers began to attempt to use social media data for situational awareness. In this paper, a spatial and temporal evolution framework of disaster situation is proposed. Combining the LDA model, UIE model and kernel density estimation method, the spatial and temporal evolution of rainstorm disaster situation in the interested period is analyzed. The results indicate that the location in social media texts can more accurately reflect disaster information, help to quickly understand disaster dynamics, and provide scientific basis for decision-making by governments and rescue organizations.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Mengru Ming "Spatial and temporal evolution of disaster situation based on social media: a case study of the 2018 Beijing rainstorm", Proc. SPIE 12815, International Conference on Remote Sensing, Mapping, and Geographic Systems (RSMG 2023), 1281526 (15 November 2023); https://doi.org/10.1117/12.3010364

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