使用数据驱动的直接和替代搜索方法,优化救护车站的位置
Hassan Bozorgmanesh1, Patrik Rydén1
1Department of Mathematics and Mathematical Statistics, Umeå University, 901 87, Umeå, Sweden.
International journal of medical informatics
|January 30, 2025
概括
优化乌梅亚的救护车站位置可以显著减少80-100秒的优先级1报警 (MRT1) 的中位响应时间. 一个接一个的方法对这种优化更有效,耗时更少.
科学领域:
- 运营研究 运营研究
- 公共卫生 公共卫生
- 紧急医疗服务 紧急医疗服务
背景情况:
- 救护车站的位置会对应急响应时间产生重大影响.
- 优化救护车位置对于提高紧急医疗服务 (EMS) 效率至关重要.
- 乌梅亚目前的救护车站分配可能不是最优的,以尽量减少响应时间.
研究的目的:
- 为了确定Umeå市的救护车站的最佳位置.
- 为了最大限度地减少优先级1报警 (MRT1) 的中位响应时间.
- 评估和验证不同的黑子优化方法用于EMS资源配置.
主要方法:
- 在Västerbotten县救护车数据 (2018年) 上使用数据驱动方法.
- 使用的黑子优化方法:GPS (无光滑) 和代用 (基于光滑).
- 对比一个-一个-一个与所有-一起的方法和本地与全球数据策略.
主要成果:
- 移动站可以将MRT1的时间缩短80-100秒.
- 全球数据产生了更好的解决方案,但需要更多的计算.
- 一个接一个的方法比全方位的方法更有效,耗时更少.
结论:
- 救护车站的搬迁大大减少了MRT1.
- 优化可以部分补偿救护车资源的损失.
- 建议采用一个接一个的方法,以减少优化成本和维度.
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