应对我国深度老龄化与人群健康问题已是共识重任。住区开放空间是老年人长期所处环境，通过体力活动中介效用对其慢性病相关健康具有重要影响，正成为城乡健康规划设计的重要内容。本项目聚焦湿热湿冷地域的武汉，立足“住区环境-体力活动-老龄健康”的基本模式，依据医学慢性病健康典型问题（代谢综合症MS），反向循证研究住区开放空间的适老健康绩效特征与设计导控方法。①从空间网络、组群、单元三个层次，基于健康效益/风险计量模型的建构，结合GIS集成技术，揭示空间环境及其老龄健康效益/风险的多层次动态特征；②基于多层嵌套空间面板数据模型，探索空间环境与老龄健康的动态耦合关联机理，提取空间环境健康影响因子并建立影响因子库；③基于系统仿真与LS-SVM算法，构建促进湿热湿冷地域老龄健康的住区开放空间多层次设计指标体系、评估模型及导控策略。预期成果可为主动干预老龄健康和住区开放空间健康设计提供理论、工具及方法借鉴。

It is a consensus to deal with the health problems of people who are deeply aging in China. The open space of residential areas is the long-term environment for the elderly. It has an important impact on health through behavioral influence, direct stimulation and psychological induction. It is becoming an important part of urban and rural health design. The project focuses on the damp-heat and wet-cold area, based on the model of “residential environment-physical activity- elderly health”, based on the medical conclusions of the elderly health related to chronic diseases (metabolic syndrome MS), reverse evidence-based exploration of residential open space health design method. From the three levels of space network, space group and space unit, the topic combines GIS integration technology to reveal the multi-level dynamic characteristics of space environment and its health benefits/risks; Based on multi-level SPDM, explore the coupling correlation mechanism between space environment and ageing health, extract spatial environmental impact factors and establish a pool of impact factors; Based on simulation and LS-SVM, establish an index system and assessment model for multi-level design of open space for residential ageing and optimization strategy to achieve active intervention of elderly health of damp-heat and wet-cold area. The research results can provide theoretical and methodological reference for the healthy design of open space of different geographical settlements.