At this stage, China is entering a phase of development characterized by both an aging population and a declining birth rate. As a vital link between individuals and the city, communities face a dual challenge: on the one hand, demographic shifts have revealed that public spaces and facilities struggle to meet the diverse needs of residents of all ages; on the other hand, traditional planning often focuses on a single spatial dimension and lacks systematic research into residents’ temporal–spatial behaviors and interactions among diverse groups, leading to inefficient use of space and frequent conflicts over public activities. To this end, this paper conducts temporal–spatial behavior planning with the goal of maximizing the efficiency of activities and the utilization of time and space, taking into account the needs of different age groups. A case study was conducted using the Tuolejia District in Nanjing as an example. Based on intelligent data analysis and implementation, the results show that during the day, recreational spaces for children and adolescents in this neighborhood are more concentrated, with an utilization rate of over 85%. The amount of accessible space for seniors aged 60 and older has increased by approximately 30% (with a significant improvement in accessibility for the group of seniors aged 80 and older, who account for about 9% of the total). At night, the utilization rate of parking spaces for residents and visitors in the neighborhood exceeds 80%. This planning approach transcends the limitations of a single spatial dimension and proposes an integrated strategy for time-sharing, multi-objective optimization, and behavioral incentives in community public spaces designed to address intergenerational conflicts. It provides a practical framework and practical support for advancing the renewal of age-friendly communities.
Wang et al. (Mon,) studied this question.