| Autor: |
Saiki, Sachio, Kaneda, Masaki, Nakamura, Masahide, Chen, Sinan |
| Zdroj: |
International Journal of Big Data Intelligence and Applications (IJBDIA); November 2024, Vol. 5 Issue: 1 p1-15, 15p |
| Abstrakt: |
In recent years, Japan has been facing a super-aging society, impacting various sectors. The issues of overcrowded emergency medical services and the increase in emergency transport cases are particularly severe, necessitating urgent responses. The research group, in collaboration with the Kobe City Fire Department, is conducting a study focusing on long-term fine-grained forecasts of emergency demand. This study aims to provide indicators for the strategic deployment of emergency teams and the scaling of medical facilities. By utilizing regional mesh data, it can capture local characteristics far more precisely than previous city or district-level forecasts, offering significant advantages for local government policy implementation. In the prediction process, there are two stages to leverage national land numerical information and improve the accuracy of the forecast model. The results reveal regional disparities in future emergency demand, enabling optimal allocation of emergency resources and strategic planning for emergency services. |
| Databáze: |
Supplemental Index |
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