基于居民时空行为的社区日常活动空间测度及活力影响因素研究

In the new era of China's development, people's needs for living space have become diversified. At the community level, the transformation of the planning of a human-oriented community life circle needs to pay attention to residents' daily activities to use the community space, thereby reflecting residents' use of community public service facilities. This demands to identify the daily activity space of residents. However, current research has paid little attention to the differentiated spatial and temporal behavior characteristics of different types of residents, and cannot effectively respond to the diverse needs of community residents. Based on the theory of behavioral geography, this research proposed a method of using mobile phone signaling data to measure the core activity space and flexible activity space based on the frequency and density of residents' travel activities, and then analyze the characteristics of daily activities of different types of people. Taking Shazhou and Nanyuan streets in Nanjing City as examples, the daily activity space of adolescent, youth, middle-aged, and elderly resident groups in different communities was delineated, and the basic characteristics of residents'use of community space were analyzed from the perspective of daily activity range and vitality differences among groups. The research results show that the daily activity space of residents shows hierarchical, sharing, and directional features, and there are significant differences in the daily activity space of different age groups. Further, by using the correlation test to analyze the influencing factors of the vitality of different groups of the communities, we proposed a differentiated supply strategy for public service facilities that considers the activity space and facility needs of different groups. This research is helpful for improving the method of measuring the daily activity space of community based on the spatiotemporal behavior of residents, and enriching the understanding of the diverse behavior needs of community residents. The conclusions of the empirical research have certain guiding significance for the allocation of community public service facilities based on residents' diverse space and facility needs.

Keywords： differentiated spatiotemporal behavior ; daily activity space ; mobile phone signaling data ; community planning ; Nanjing City