社区体育设施作为社区群众开展体育活动的物质载体，对于提升社区环境、构建和谐社区具有重要意义。当前我国社区体育设施蓬勃发展，但运动体验契待提高。本课题运用循证设计（EBD）的理论和方法，以提升运动体验为目标，选取长三角地区代表性体育设施作为循证样板开展循证研究。研究将在相关证据评估循证、典型问题匹配循证和运动体验循证的基础上，综合运用荟萃分析、对比评定、模拟对照实验等研究方法，探讨社区体育设施的发展模式、功能配置、服务绩效和优化机制。研究将提出社区体育设施功能配置动态模型，建立清晰量化的服务绩效评价体系，明确相关证据的循证等级和推荐强度，为提升体育设施的运动体验提供科学、有效的“证据”支撑。研究将建立基于运动体验的循证设计数据平台，形成设计决策优化机制。研究将大幅度提升社区体育设施的运动体验和服务绩效，并以此为契机探索基于科学方法和证据指导进行建筑设计的一般规律。

Community sports facilities as the material carrier for the community masses to carry out sports activities, is of great significance to the promotion of community environment and the construction of a harmonious community. The current community sports facilities in our country are rapidly developing, but the sports experience needs improvement. The issue in the use of evidence-based design (EBD) theory and method, aiming at improving sports experience, chooses representative community sports facilities in the Yangtze River Delta region as evidence-based models to carry out evidence-based research. On the basis of evidence-based evidences assessment ,evidence-based matching of typical problems and evidence-based sports experience, the research will discuss the development mode, function allocation, service performance and optimization mechanism of community sports facilities by using meta analysis, contrast evaluation and simulated control experiment. The research will put forward the functional allocation dynamic model of community sports facilities, establish a clear and quantitative service performance evaluation system, and clarify the evidence-based level and recommendation strength of relevant evidence to provide scientific and effective "evidence" support for improving sports experience of sports facilities. The research will establish an evidence-based design data platform based on sports experience and form an optimization mechanism for design decision. The research will greatly improve sports experience and service performance of community sports facilities, and take this opportunity to explore the general rules of architectural design based on scientific methods and evidence guidance.