在上海市中心优化养老金资源的空间分配:一个动态更新的遗传算法方法
Huiyu Ren1,2, Junya Lv3, Lingyu Ren4
1Business School, University of Shanghai for Science and Technology, Shanghai, China.
Disability and rehabilitation. Assistive technology
|July 18, 2025
概括
在上海优化养老金机构的配置,揭示了资源分配的巨大差异. 一个动态的遗传算法有效地确定了15分钟社区生命周期的最佳地点,确保了更好的老年护理覆盖.
科学领域:
- 城市规划 城市规划
- 老年学是一门学科.
- 空间分析 空间分析
背景情况:
- 现有的关于资源分配的研究往往忽视了社区层面的资产.
- 文学往往侧重于街道或城镇层面,忽视了嵌入式社区资源.
研究的目的:
- 调查养老金资源在多个行政和社区层面的空间分配.
- 在上海的城市景观中,确定养老金设施服务不足的地区.
- 优化养老金设施的配置,以满足人口老龄化的需求.
主要方法:
- 利用空间分析技术,包括缓冲分析,分组分析和遗传算法.
- 在地区,街道和住宅区层面整合数据,包括社区床位.
- 使用ArcGIS 10.8进行数据管理和空间分析.
主要成果:
- 在上海市中心的养老金资源和老龄化人口之间发现了显著的空间不匹配 (2020).
- 建立了一个15分钟的社区生活圈,以确定缺乏足够养老金资源覆盖的地区.
- 在资源分配中表现出影响老年人的空间差异.
结论:
- 一个动态更新的遗传算法被证明是最有效的优化养老金设施的选址选择.
- 这种先进的算法实现了15分钟社区生命周期的完整覆盖,最低限度的新设施要求.
- 这些发现为上海的城市规划和养老金资源分配策略提供了关键的见解.
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