Forecast of Typhoon Disaster Emergency Supplies Demand Based on Improved CBR

In recent years, typhoon disasters have frequently struck China, causing significant losses in coastal areas. To address the urgent issue of material demand during typhoon disasters, this paper comprehensively summarizes and analyzes the factors influencing the number of emergency resettlers post-typhoon. Utilizing an enhanced case reasoning method, we developed a typhoon emergency prediction model to estimate the number of evacuees and resettlers following a disaster. By integrating safety stock theory, we indirectly predict the demand for emergency supplies during typhoon disasters. Experimental results demonstrate that the model achieves high accuracy and can provide a theoretical foundation for typhoon emergency rescue operations.

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Publication Details

Published
2024-08-23
DOI
https://doi.org/10.1109/ictle62418.2024.10703902
Citations
1
Primary Topic
Safety and Risk Management
Type
article
Field-Weighted Citation Impact
0.67
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article

Forecast of Typhoon Disaster Emergency Supplies Demand Based on Improved CBR

Xu Zhecong, Junhui Yang
1 citations
Safety and Risk Management
0.67
article

Forecast of Typhoon Disaster Emergency Supplies Demand Based on Improved CBR

Xu Zhecong, Junhui Yang
article en
1 citations

Abstract

In recent years, typhoon disasters have frequently struck China, causing significant losses in coastal areas. To address the urgent issue of material demand during typhoon disasters, this paper comprehensively summarizes and analyzes the factors influencing the number of emergency resettlers post-typhoon. Utilizing an enhanced case reasoning method, we developed a typhoon emergency prediction model to estimate the number of evacuees and resettlers following a disaster. By integrating safety stock theory, we indirectly predict the demand for emergency supplies during typhoon disasters. Experimental results demonstrate that the model achieves high accuracy and can provide a theoretical foundation for typhoon emergency rescue operations.

Xi’an University of Posts and Telecommunications (CN)
Climate action
Openalex Percentile: Top 22%
Safety and Risk Management
0.67
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