Xiaoxiao Xu

Traditional villages are crucial for the sustainable development of both urban and rural areas, and identifying their spatial patterns is key to guiding village construction and promoting urban–rural integration. This research selected 274 traditional Huizhou villages located in the upper basin of the Xin’an River. It examined how the four main factors—construction period, geography, ecology, and social and economic development—shape and influence each other. By incorporating an optimal parameters-based geographical detector model, this study further explored the driving mechanisms behind spatial differentiation. The villages exhibit a “one belt, two cores, and multiple dispersion” pattern, with Shexian and Yixian counties as hot gathering areas of traditional villages. Population migration, internal growth, and external cultural and commercial exchanges drove village formation in three stages. Spatial distribution favors locations with gentle slopes, sunny aspects, proximity to water, suitable climates, convenient transportation, and distance from crowded areas. Topography, water systems, and external communication are key drivers, while the synergy between water systems and transportation is particularly significant. This study concludes that water systems have the greatest influence on village spatial patterns, recommending watersheds as regional boundaries and advocating a clustering development model for planning and protection efforts.

Urbanization is a global trend that is expected to continue, and by 2025, it is estimated that almost 60% of the world’s children will live in urban areas. Urban community pocket parks provide a solution to the need for parks in high-density urban communities due to their flexible location, small size, and patchy distribution. This paper aims to examine and optimize the construction of urban community pocket parks from a child’s perspective to encourage children’s participation in these parks. The first step was to conduct a literature review to identify key evaluation indicators for assessing the child-friendliness of pocket parks. Then, the AHP-entropy TOPSIS approach was used to establish an indicator system to effectively evaluate the child-friendliness of pocket parks in urban communities. The system included physical space, cognitive ability, emotional development, environmental perception, and social interaction. Finally, suggestions for optimization were made based on the weighting of influencing factors. The results show that freedom of movement (6.2%) significantly affects the child-friendliness ratings of community pocket parks. Additionally, Hefei residents are not sufficiently influenced by the diversity of play (2.29%) and play facility planning (2.58%) in pocket parks. Therefore, consideration should be given to focusing on the degree of nature adaptation in park construction and renewal projects, as well as understanding children’s perception of nature.

In the global context of sustainable urban development, urban regeneration is an activity to improve the form and function of urban space in built-up areas. Commercial streets are one of the most active factors in urban space and an important factor in promoting urban prosperity and reflecting urban vitality, yet these streets have not kept pace with the public’s quest for quality through theoretical change, and this can even affect public comfort and well-being. In order to effectively undertake urban regeneration and improve the quality of urban streets and residents’ satisfaction, design factors for the quality enhancement of commercial streets are explored in order to rationalise residents’ demand preferences and their priorities, enhance residents’ sense of belonging, and provide suggestions for the optimisation of the design of subsequent urban street regeneration in China. By summarising the literature and the content requirements of the quality enhancement scheme for Shuanggang Old Street in Hefei, this study applied a questionnaire survey and scientifically developed an index system containing five evaluation indicators, including spatial carrying capacity, street attractiveness, travel safety, environmental comfort, and social interaction. A combination of hierarchical analysis and entropy weighting was used to identify the most influential factors on the implementation of the quality improvement of the commercial street and design optimisation suggestions. The evaluation results show that travel safety and social interaction significantly affect the evaluation of the quality improvement of commercial streets, as well as highlighting the needs of residents for street environments and services and the role of local governments.