As urbanization advances, rural construction and resource development in China encounter significant challenges, leading to the widespread adoption of standardized planning and design methods to manage increasing population pressure. These uniform approaches often prioritize economic benefits over climate adaptability and energy efficiency. This paper addresses this issue by focusing on traditional mountain villages in northern regions, particularly examining the wind and thermal environments of courtyards and street networks. This study integrates energy consumption and comfort performance analysis early in the planning and design process, utilizing Genetic and XGBoost algorithms to enhance efficiency. This study began by selecting a benchmark model based on simulations of courtyard PET (Physiological Equivalent Temperature) and MRT (mean radiant temperature). It then employed the Wallacei_X plugin, which uses the NSGA-II algorithm for multi-objective genetic optimization (MOGO) to optimize five energy consumption and comfort objectives. The resulting solutions were trained in the Scikit-learn machine learning platform. After comparing machine learning models like RandomForest and XGBoost, the highest-performing XGBoost model was selected for further training. Validation shows that the XGBoost model achieves an average accuracy of over 80% in predicting courtyard performance. In the project’s validation phase, the overall street network framework of the block was first adjusted based on street performance prediction models and related design strategies. The optimized model prototype was then integrated into the planning scheme according to functional requirements. After repeated validation and adjustments, the performance prediction of the village planning scheme was conducted. The calculations indicate that the optimized planning scheme improves overall performance by 36% compared with the original baseline. In conclusion, this study aimed to integrate performance assessment and machine learning algorithms into the decision-making process for optimizing traditional village environments, offering new approaches for sustainable rural development.

As urbanization and rapid industrialization accelerate, rural areas face increasing pressure on resources and the environment, leading to challenges such as energy waste and reduced comfort. Traditional village planning and design methods are based on economic benefits and often lack consideration of climate adaptability. To address these issues, a comprehensive assessment of building and courtyard performance should be introduced early in the planning of traditional villages. This approach can better adapt the buildings to their climatic conditions. Introducing relevant performance indicators, such as outdoor comfort, indoor lighting, and building energy consumption, at the initial design stage is crucial. This article employs performance-based multi-objective optimization algorithms and machine learning techniques to investigate the design workflow of courtyards and their combinations. The goal is to enhance planners’ design efficiency in village planning by integrating data-driven and performance-driven methods. The research results show that during the performance-driven phase, by adjusting the spatial morphology and architectural parameters, the performance of the courtyard significantly improved compared to the baseline model. Energy efficiency increased by 32.3%, the physiological equivalent temperature (PET) comfort time ratio in winter was enhanced by 8.3%, and the ratio in summer increased by 3.8%. During the data-driven phase, the classification prediction accuracy of courtyard performance can reach 83%, and the F₁ score is 0.81. In the project validation phase, it has also been proven that the performance of different plans can be quickly verified. Compared to the base’s original status, the design solutions’ performance score can be improved from 59.12 to 85.62. In summary, this workflow improves the efficiency of the interaction between design decisions and performance evaluation in the conceptual stage of village planning, providing a solid foundation for promoting subsequent solutions.

Community-based care services offered by senior centers are vital for supporting older adults’ independent living. The number of senior centers has escalated in China in recent years. Despite scholarly interest in the potential accessibility of senior centers, research on older adults’ realized access remains scarce. Using the geo-referenced check-in data of 2382 users of senior centers in Nanjing, China, this study aims to fill this gap by examining the disparities between older adults’ potential and realized access to senior centers and the influence of multilevel spatial and non-spatial factors. This study indicates that potential access is often significantly overestimated compared with the actual accessibility of senior centers, with older adults’ distances of realized access (mean = 1319 m) being considerably greater than potential access (mean = 325 m). Spatial and regression analyses confirm that older adults living in newly built, lower-priced houses in the inner city are more likely to travel longer distances to reach senior centers. Spatial proximity is less effective in predicting realized access for those living further from senior centers. Instead, the location and service quality of senior centers play a more prominent role. These findings enrich our understanding of older adults’ access to community-based care, informing planning and policy interventions for the development of age-friendly communities.

The exploration and advancement of feminism are vital for addressing critical issues such as social progress, equitable education, and healthcare access. This paper comprehensively examines the feminist movement’s impact on architecture over the past century, identifying key trends and significant areas to establish an academic foundation for feminist architecture. A literature review on feminism in urban planning, architecture, landscape design, and urban safety highlights the current research focus on feminist architectural development. Furthermore, this paper traces the evolution of feminist architecture through both purpose-driven and process-oriented approaches, exploring the interplay between feminist and modern architectural practices. It specifically examines the development of feminist architecture within the Chinese context from two perspectives: the influence of feminist thought on architecture and the evolution of gendered spaces within the “Residence and Courtyard” model. By comparing the internal logic of feminist architectural development in China and the West, this study investigates how geopolitical culture and regional differences shape the future trajectory of this field. Unlike traditional feminist architectural research, which often emphasizes women’s practices within specific feminist ideologies or focuses on visual culture and psychological interpretations of gendered spaces, this paper redefines the scope of feminist architectural studies through a comparative analysis of historical and contemporary contexts, and Eastern and Western perspectives, employing a systematic genealogical approach.

As critical infrastructure of age-friendly cities, senior centers are designed to be embedded in communities and facilitate service accessibility for older adults. However, their underutilization is widely documented, suggesting a need to reassess their effectiveness. Existing studies often analyze the issue focusing on socio-demographic factors, overlooking the spatial contexts in which senior centers are embedded and their impacts on older people’s access. This study aims to address the research gap by investigating the spatial embeddedness of senior centers using Space Syntax methods and examining its influence on older people’s access patterns. Using a geo-behavioral dataset collected in Nanjing, China, we find that about 70% of the senior centers in the research area are embedded in highly localized settings with limited connections to global street networks, which significantly restricts the access of older people from wider spatial contexts. This spatial segregation may force senior centers to incur higher costs to attract users, thereby reducing the effectiveness of community-based services. This study introduces a novel spatial perspective to evaluate community-based services, highlighting the critical influence of the spatial context on service accessibility. The findings provide valuable empirical insights for policymakers and planners striving to create age-friendly cities and communities.