Simulation Study on Age-Friendly Design of Community Park Activity Spaces Based on AnyLogic: A Case Study of Qiaokou Park in Wuhan

With the intensification of population aging, addressing the needs of older adults and enhancing their daily activities has become increasingly significant. This study focuses on community parks—frequent outdoor activity venues for older adults—as the research subject. Starting from older adults’ needs, pedestrian simulation technology was employed using AnyLogic to model their behavioral activities within Qiaokou Park in Wuhan. Unlike previous studies applying simulation tools to general public spaces, this research develops age-sensitive indicators (Pedestrian Walking Cost, Connectivity of Activity Space Nodes, Functional Mix Efficiency, Activity Intensity of Activity Space Nodes, Pedestrian Density Map) tailored to older adults’ behavioral and spatial characteristics. Integrating empirical data from questionnaires and on-site observations with simulation, the study establishes a systematic framework linking user needs and spatial design. Based on simulation outputs, the park’s current “non-age-friendly” issues were analyzed, and optimization strategies were proposed regarding service capacity, functional layout, and pathways. The optimized scheme underwent secondary simulation to evaluate improvements in spatial indicators. This approach extends the methodological toolkit for age-friendly park research and provides replicable, evidence-based guidance for community park renovation in rapidly aging urban contexts. Key recommendations include the following: (1) Improve the relationship between activity nodes and park entrances; (2) Enhance connectivity among nodes to support continuous activity flows; (3) Optimize the pathway network to reduce congestion and barriers; (4) Promote functional diversity to stimulate active and social use; (5) Strengthen service capacity of nodes to accommodate user demand.