Abstract: As urban population aging intensifies, accurately identifying and optimizing community life circles that support the daily activities of elderly residents has become a critical challenge for improving age-friendly environments. A community life circle recognition method for the aged that integrates high precision and operability was proposed from survey data on the behaviors of communities in Futian Field and combined with the philosophy of "home domain" and agent-based modeling method. Moreover, an application study was conducted in Lianhua Street, Shenzhen.
　　First, the travel chains and facility preferences were analyzed based on 276 travel behavior questionnaires of the elderly. A behavior simulation model of the aged was built on the Anylogic platform to produce walking trajectories. Subsequently, boundaries of the community life circle with 74 residential units were determined on the ArcGIS platform by combining the recognition philosophy of ecological "home domain" and the minimum convex polygon and kernel density estimation method. The precision of the proposed method was verified through a field survey. Results showed that the simulated trajectories overlap highly with actual travel paths, proving that the method has strong applicability and promotion values in high-density urban communities.
　　On this basis, the life cycle's spatial forms and correlations were further analyzed. For spatial forms, three typical classes of life circles were recognized: network type, synaptic type, and radial type. The network type is manifested as diversified facilities, interweaving nodes, compact paths, and appropriate addition of informal social spaces. High-level facilities guide the synaptic type and have strong path extension, which requires embedding intergenerational shared infrastructure along extended paths. The radial type has many problems, such as fragmented boundaries and dispersing paths, which reflect uneven distribution of facilities and poor accessibility. On spatial correlations, a three-dimensional judgment system based on the Jaccard coefficient, facility sharing strength, and behavior similarity was established and used to divide the life cycle into boundary-independent type, facility coupling type, and behavior configuration type. This discloses the mutual influences between micromechanisms (e.g., spatial fragmentation and path dependence) and facility layout.
　　According to aging-friendly analysis results, the 15-minute walking coverage for medical facilities in Lianhua Street is 68.5%, but there are significant regional differences, and the coverage in some villages in the city is lower than 50%. Analysis of the service matching degree shows an insufficient service radius of the aged's preferred facilities (e.g., parks, vegetable markets, and community health center), and uneven density of informal social facilities. The overall coverage of barrier-free routes is only 54.2%, and it is lower in some regions, such as the synaptic type. This further restricts the daily travel of the aged. 
　　Hence, differential aging-friendly optimization strategies for three types of life circles were proposed. The network type should focus on optimizing the configuration of path nodes and social communication sites. The synaptic type should introduce intergenerational sharing facilities and a small-sized shuttle system. The radial type should supplement microscale infrastructure and small-scaled pocket parks, and improve local serviceability. Meanwhile, it suggests including indexes such as "life circle-to-residential area ratio" and "barrier-free path coverage" into community aging-friendly planning standards and promoting governance transition from space supply to behavioral adaptation.
　　In sum, the proposed recognition method based on agent-based modeling and the concept of "home domain" provides a precise and low-cost technical path for aging-friendly community planning and builds an analytical framework from space recognition to policy optimization that has promising practical prospects.

Key words: community life circle, agent-based-modeling, travel behavior of the elderly, home domain

摘要： 城市人口老龄化背景下，公共服务设施是老年人日常活动的主要载体，如何基于老年人日常公共服务设施的真实使用情况，精准识别、分析老年人的社区生活圈，对适老化设施配置与优化具有重要意义。研究以福田区老年人社区出行行为调研与分析为依据，采用主体建模方法模拟老年人使用社区公共服务设施的出行行为并结合“家域”理念构建了老年人社区生活圈的识别方法，在此基础上以福田区莲花街道为例进行方法应用，通过74个居住单元的老年人社区生活圈的精准识别，分析生活圈的空间形态以及空间关系，为生活圈公共服务设施的适老化建设提供有力支持。在精准识别老年人社区生活圈的基础上，研究进一步从设施可达性、服务覆盖度与行为需求匹配度三个维度开展适老化分析，提出针对网络型、突触型、放射型三类生活圈的差异化优化建议，包括设施加密、代际共享设施嵌入、微型设施补给等，为高密度城市社区的适老化规划提供科学依据。

关键词: 社区生活圈, 主体建模方法, 老年人出行行为, 家域