Abstract: As an activity that satisfies people's physical and mental health and pleasure, recreational behavior is essential for urban residents to obtain happiness. All-age-friendly development is a crucial goal of urban community construction. Particularly, the needs of the vulnerable must always be fully considered. In the context of the current structural changes in urban population, on the one hand, the refined allocation of community recreation space under the all-age-friendly goal is an important issue to improve the quality of urban space. In contrast, it is a concrete embodiment of the people-centered urban construction concept.
　　Firstly, the relationships between age groups, vulnerable group types, recreational behaviors, and recreational space were established. The applied data was introduced, including actual population data, recreational space vector data and transportation network data. Specifically, actual population data was the new urban data type with spatial and attribute granularity refined to individuals of independent populations in the city. It is fundamental to realize all-age-friendly refined allocation of recreational space, which can consider vulnerable people. 
　　On this basis, a quantitative recreational space allocation and optimization model based on characteristics of the crowd activity under the all-age-friendly goal was developed. It comprised estimating recreational space demand scale, layout evaluation, and optimization allocation. During the recreational space demand scale estimation, all age and vulnerable groups were divided based on the actual population data and connected with recreational behaviors. The demand scale of recreational space was estimated by combining the simultaneous rate and priority coefficients. During layout evaluation and optimization allocation, a network analysis was carried out based on road network data and recreational space data, getting the single-group coverage rates and comprehensive population coverage rates for 5-minute, 10-minute and 15-minute recreational space service areas. The service status of community-level recreational spaces was revealed by combining single-group coverage rates and demand scales. The recreational space supply level could be gained by combining comprehensive population coverage rates and demand scale. Finally, the supply level was evaluated comprehensively, combined with the supply scale, and optimization strategies for allocating recreational space were proposed.
　　The scales and spatial distributions of all age groups and vulnerable groups were extracted from the age and gender attributes of the actual population. On this basis, an empirical study regarding refined quantitative allocation of recreational space based on actual population data was carried out in the surrounding areas of the central axis of Guangzhou City. It demonstrated that the existing recreational space scale in the central axis area of Guangzhou City met the demand scale, and the comprehensive population coverage rate reached 90% of the target value. The old and the pregnant-infant groups were completely addressed within the 10-minute walking space, but incompletely within the 5-minute space. Such differentiation was attributed to insufficient recreational spaces and insufficient road network construction. Hence, recreational spaces must be added to the study area's southern part of Shipai Street, Xinqing Village, Xian Village, and surrounding areas of the Dongxing Community. 
　　Finally, evaluating community-level recreational space for all ages and vulnerable groups could be refined based on actual population data. Research conclusions could support the reasonable and scientific planning of community-level recreational spaces.

Key words: all-age-friendly, actual population, recreational spaces, quantitative allocation

摘要： 当前城市人口发生结构性变化的背景下，实现全龄友好目标下社区游憩空间精细化配置，一方面是提升城市空间品质所关注的重要议题，另一方面是以人民为中心的城市建设理念的具体体现。城市实有人口数据是空间与属性精细化至独立个体人口粒度的新型城市数据类型，是精准识别弱势人群并进而实现全龄友好目标的基础。以实有人口数据应用为基础，通过游憩行为的类型划分和空间指标定义，构建了一种全龄友好目标下基于人群活动特征的精细化社区游憩空间量化需求模型与游憩空间布局评价方法，同时以广州市中轴线周边区域为社区研究对象，探索了基于实有人口数据进行社区游憩空间精细化量化配置与游憩布局评价的实践研究。研究表明，基于实有人口数据能够精细化地进行全龄与弱势人群的社区游憩空间评价，并据此支持社区游憩空间的合理和科学规划。

关键词: 全龄友好, 实有人口, 游憩空间, 量化配置