A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Urban regional fire risk prediction based on FIRE-CLA
Fire risk prediction is crucial for urban firefighting deployment, as it can reduce the damage and fatalities caused by fires. Therefore, we propose an urban fire risk prediction model, FIRE-CLA, to predict fire risks in urban areas. This model aids firefighting departments in prioritizing fire inspections at specific locations, including commercial and property areas, based on the predicted fire risks in different urban regions. FIRE-CLA calculates the fire risks for over 6,000 streets in the city, achieving a prediction accuracy of up to 90%. Additionally, FIRE-CLA presents fire risks at specific locations through an interactive map in a visualized form, making the model more intuitive and practical. This helps firefighting departments enhance their decision-making process for fire inspections.
Urban regional fire risk prediction based on FIRE-CLA
Fire risk prediction is crucial for urban firefighting deployment, as it can reduce the damage and fatalities caused by fires. Therefore, we propose an urban fire risk prediction model, FIRE-CLA, to predict fire risks in urban areas. This model aids firefighting departments in prioritizing fire inspections at specific locations, including commercial and property areas, based on the predicted fire risks in different urban regions. FIRE-CLA calculates the fire risks for over 6,000 streets in the city, achieving a prediction accuracy of up to 90%. Additionally, FIRE-CLA presents fire risks at specific locations through an interactive map in a visualized form, making the model more intuitive and practical. This helps firefighting departments enhance their decision-making process for fire inspections.
Urban regional fire risk prediction based on FIRE-CLA
Hu, Liang (editor) / Loskot, Pavel (editor) / Zhang, Hongli (author) / Shao, Dan (author) / Huang, Chao (author) / Li, Zhiling (author)
International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2024) ; 2024 ; Zhengzhou, China
Proc. SPIE ; 13403
2024-11-18
Conference paper
Electronic Resource
English
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