Public service facilities are important carriers of sustainable rural development. However, the “holistic” planning principle for cities has resulted in the inefficient use of public service facilities in villages. Under the guidance of the sustainable development of rural areas in China, relying on the theory of “destination attractiveness” in tourism studies, this research puts forward the assumption that the real logic of the operation of rural facilities lies in the synergistic attraction between function and space for villagers. This study applied research methods such as field survey, questionnaire survey, importance–performance analysis, space syntax, and Spearman correlation analysis. It builds the “demand-frequency” coupling model of the facilities and explains the functional attractive attributes and degrees of four types of facilities in the coupling between different demands and use frequencies. Through analyzing the accessibility and traffic potential of rural facilities and the correlation between facility numbers and their spatial distribution characteristic parameters, the study reveals the synergistic mechanism between the functional and spatial attraction of the “selected facilities”. It is to clarify the planning principle of rural public service facilities based on villagers’ demands, to put forward the basic guarantee framework for different combinations of “functional attributes and spatial distribution” under the goal of good facility operation, and to achieve the goal of improving the resource efficiency and upgrading the level of the rural living environment. Eventually, it contributes to the sustainable development of rural China with theoretical and methodological support.

Rural migrants, who are widespread in China, experience diverse production and living needs upon resettlement in towns because of their various population attributes. However, the planning of resettlement community public spaces solely follows urban community function programming, which is misaligned with rural migrants’ needs, leading to a conflict between migrants and community regulation. Under the architectural planning theory and founded on previous research about rural migrants’ needs by the authors, this study involves expanded research that explores an approach to transforming migrants’ needs into resettlement community public space function programming. This approach includes three steps: (1) judging the dividing line between high and low levels of migrants’ needs, (2) extracting “Basic–Expansion–Potential” function item sets from the permutation and combination of different migrant types, and (3) calibrating function item sets with the current national architecture standard. In addition, this study compared the transformed data results with the need characteristics of migrants to inspect the rationality of the research method, formed two types of resettlement community public space function programming, namely “medium-high” and “medium-low” urbanization resettlement communities, and proposed elastic design strategies to respond to the complex functional programming. This research will provide a theoretical reference for the planning and construction of such resettlement spaces in China as well as other countries with the same migration and resettlement situation.

With the expansion of Chinese university campuses, electric bikes (E-bikes) have become the most sustainable and effective commuting option because they are a flexible and energy-saving travel mode. Consequently, campus E-bike charging piles have become one of the most essential public service facilities on campuses. However, since most Chinese campuses are closed and independent, the principles of urban public service facilities cannot be simply applied to the layout and use of campus charging facilities. Thus, this study focuses on Zijingang Campus at Zhejiang University, and proposes an optimization strategy for the spatial and temporal layout of E-bike charging piles on the campus. First, trip chain demand models are constructed to examine the travel patterns of E-bike users on campus and the demands for charging areas and time. Second, a space location model is constructed to locate the charging piles in areas with high demand. Finally, according to the charging times of different users, user charging time is integrated into the strategy. This study enhances the layout and utilization system of campus E-bike charging facilities by considering both temporal and spatial dimensions. Overall, this study contributes to the advancement of sustainable transportation infrastructure planning on a campus-wide scale, offering theoretical insights for the design and utilization of functional facilities in large-scale, semi-enclosed environments (e.g., university campuses).

With the growing trend of population mobility and the aging process in China, a significant number of accompanying elderly migrants have moved to major cities. However, in community public spaces, the behavioral differences between caregiver-oriented elderly migrants (CO-AEMs), family reunion-motivated elderly migrants (FR-AEMs), and local elderly residents hinder social interactions between these groups. This study aims to explore opportunities for cross-group social interaction within the community environment. By utilizing GPS data collection and activity log analysis, along with spatiotemporal behavioral research methods, this study reconstructs the spatiotemporal trajectories of three groups of elderly individuals. The study proposes a social interaction potential (SIP) model based on the “support-constraint” framework. Through qualitative analysis of spatiotemporal behavioral characteristics and quantitative measurement of the degree of spatiotemporal behavioral co-occurrence across four modes, this study reveals the differentiated impact mechanisms of spatial and behavioral factors on social interactions, ultimately assessing SIP in differentiated community spaces and activities. This research highlights differences across spatial, behavioral, and temporal dimensions that hinder social interactions between the groups. Spatial and behavioral differences are primarily attributable to the lifestyle habits and activity preferences of the elderly, while temporal discrepancies reflect varying degrees of family-related constraints across the different groups. Furthermore, informal community public spaces show higher SIP than formal facilities. Additionally, the similarity in behaviors across groups facilitates social interactions. FR-AEMs and local elderly residents show higher SIP in self-care behaviors, while CO-AEMs and local elderly residents demonstrate stronger SIP in behaviors related to their family and grandchildren. Based on the segmented assimilation theory, this study proposes hierarchical community governance and spatial optimization strategies for activities and spaces with different SIP. The aim is to cultivate opportunities for interaction while respecting the characteristics of accompanying elderly migrants and to foster the construction of an inclusive community environment. The findings provide theoretical support and practical pathways for community space planning and social governance in the context of an aging society.