在自然发生的退休社区和社会住房中进行增强编程的选址过程:以股权和数据驱动的方法论
Kyara J Liu1,2, Stephanie Hatzifilalithis1,2, Jen Recknagel3
1Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.
Canadian journal on aging = La revue canadienne du vieillissement
|February 16, 2026
概括
确定自然存在的退休社区 (NORC) 是支持老年人的关键. 本研究概述了一种以数据为导向,以公平为重点的方法来选择多伦多老龄化现场计划的地点.
科学领域:
- 老年学是指老年学的学科.
- 城市规划 城市规划
- 公共卫生 公共卫生
背景情况:
- 自然存在的退休社区 (NORCs) 是高度老年居民的地区.
- 现场社会计划可以显著支持老年人的老龄化.
- 有效的地点识别对于实施成功的社区计划至关重要.
研究的目的:
- 描述一个数据和股权驱动的过程来选择NORC和社会住房网站.
- 确定适合于授权老年人和加强现场老龄化计划的地点.
- 开发一个可复制的模型,用于在不同的环境中选择地点.
主要方法:
- 使用数据驱动的方法创建了使用人口级数据的建筑物列表.
- 公平是优先考虑的,目标是具有高卫生需求和多样化的社区的建筑物.
- 建筑和居民参与得到便利,以评估计划的兴趣和适用性.
主要成果:
- 开发了一种系统的流程,用于为老年人选择基于地点的节目地点.
- 该方法将人口数据与股权考虑和社区投入相结合.
- 该方法展示了一种新的方法来确定适合于现场老化活动的合适地点.
结论:
- 描述的过程提供了一种新且可复制的方法,用于为增强的,基于地点的编程选择地点.
- 这种方法可以为老年人提供各种社区计划的选址.
- 整合数据,公平和参与对于在NORC中有效实施计划至关重要.
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