The dilemma of weak participation and non-participation of rural communities is a universal topic of global development. The rural public space is an important field for local residents to interact, communicate, and engage with each other, and is an important place for the sustainable development of rural areas. However, previous studies have neglected to understand the intrinsic connection between rural public space and community participation from the perspective of community communication ecology. Based on the concept of age-friendly communities, this study’s fieldwork in rural Shanghai, China, using the methodology of grounded theory, found that physical, social, and psychological factors all have an impact on community engagement among rural residents. Specifically, environmental quality, facility support, community networks, social participation, call to action, place attachment, spatial perception, and self-transformation are identified as the core elements that significantly influence community engagement among rural residents. This study further reveals that the multiple factors influencing community engagement among rural residents are complex and interdependent rather than operating independently. Spatial support, communicative triggers, and symbolic identification, respectively, operate at the technological level (physical–social factors), social level (social–psychological factors), and discursive level (psychological–physical factors) to promote community engagement among older adults in Chinese rural areas. Through this research, we hope to further the realization of rural civic engagement and the sustainability of local communities and to provide scholarly insights into the promotion of more equitable community life.

In the development of rural revitalization, the art intervention in rural cultural tourism has become a hot topic recently. With the advent of the new media era, it is particularly important to study the factors that affect the artistic value of environmental graphic design. This study proposes six dimensions of environmental graphic design for rural cultural tourism through literature analysis and experience summary, which are refined into 21 impact indicators. It is based on the case of the environmental graphic publicity of cultural tourism in Chongqing Nanshan Cattle Village, using the SBE beauty evaluation method to evaluate the influencing factors, while using the analytic hierarchy process (AHP) to measure each indicator. The consistency of the two evaluation methods verifies the feasibility of the influencing factors, and this study found the influence of visuality, cultural nature, artistic nature, interactivity, spatiality, and communicativeness on aesthetic value. Moreover, the core of environmental graphic design lies in information transmission, in which artistic nature occupies an important position, while cultural nature, although it has a relatively small weight in aesthetic value, cannot be ignored in social media communication. In terms of visual design, a reasonable layout of equipment significantly enhances visual appeal, while spatial adaptability is considered a key factor. This paper emphasizes the integration of art principles into design to promote sustainable development, while also pointing out that the identification of rural cultural symbols can enhance visitors’ cultural experience. In terms of interactivity, it is crucial to encourage visitors to actively participate and share their experiences, while communication emphasizes the important impact of exposure to rural scenes on brand communication. This research provides systematic theoretical support and practical guidance for the environmental graphic design of rural cultural tourism.

The existing clothing design model lacks the screening link of the human body part index, and the output clothing data are affected by the high correlation coefficient, resulting in large matching errors. Therefore, based on the analysis of human body shape, a management model of matching degree of human body shape and clothing design based on big data is constructed. After processing with big data methods, human body characteristic data used signals as the input layer of a neural network model and the matching degree management model of human body shape and fashion design. The simulation results show that the built-up model has a matching error of less than 5%, which can effectively improve the matching of human body shape and clothing design.

With the rapid advancement of AI technologies, AI-driven virtual try-on (VTO) technology is increasingly transforming consumers’ online consumption patterns by effectively reducing return rates and resource waste through mechanisms such as accurate recommendations, thereby demonstrating substantial potential to influence consumers’ green consumption intentions. However, there is still a lack of systematic explanation of how the characteristics of VTO technology influence consumers’ green purchase intentions through psychological mechanisms. Grounded in the Stimulus–Organism–Response (SOR) model and the Theory of Planned Behavior (TPB), this study develops an integrated analytical framework to examine how the characteristics of VTO technology influence green purchase intention through consumers’ attitudes, subjective norms and perceived behavioral control. A mixed-methods approach combining task-based experiments and questionnaire surveys was employed and data from 424 participants were analyzed using PLS-SEM. The results indicate that visual realism, personalized recommendations and self-congruity primarily enhance green purchase intention by strengthening consumers’ green attitudes; social interactivity exerts an indirect effect by reinforcing subjective norms and perceived ease of use promotes green purchase intention by increasing perceived behavioral control, whereas the effect of feedback transparency on perceived control is not supported. Furthermore, the task-based experiments shows that consumers’ green preference for highly accurate VTO options is constrained by price premiums, while environmental awareness significantly strengthens the translation of green attitudes into green purchase intention. This study reveals the key psychological pathways through which AI-based VTO technology shifts from functional efficiency to green cognition, providing a theoretical foundation for digital retail platforms to promote sustainable consumption through psychologically informed technology design.

With the development of intelligent technology, the life cycle of products is becoming shorter and shorter. The traditional mode of supply chain selection cannot meet the demand of productivity development. Scientific and reasonable choice of school uniforms raw material supply chain is a necessary condition to assist schools normal operation. Therefore, an optimization model for primary and secondary school clothing raw material supply chain based on the internet of things is proposed. In order to optimize the raw materials supply chain of primary and secondary school uniform, a model based on the internet of things is proposed. In the environment of the internet of things, from the perspective of supply chain configuration and enterprises expected risk minimization, this paper establishes the optimization model of raw material supply chain of primary and secondary school uniform based on the internet of things. Through the improved genetic algorithm to solve the model, the best raw material supply chain of primary and secondary school uniform is obtained. The simulation results show that the proposed model can effectively improve the asset utilization and execution efficiency of the supply chain and reduce the cost of the raw material supply chain of primary and secondary school uniform.

In China, policy-driven rural renewal projects have transformed many village public spaces, but some renewed sites are still weakly integrated into villagers’ everyday routines. This study asks why some renewed public spaces sustain routine use and low-intensity social interaction, while others remain materially complete but socially weak. The study was conducted in a rural township in Puyang County, Henan Province. Twelve renewed public spaces across several villages were examined through structured spatial audits and 579 resident questionnaires. Five spatial conditions were assessed: visibility, stay support, activity accommodation, interaction-supportive arrangement, and experienced locational convenience. Two behavioral outcomes were used to describe post-renewal vitality: use frequency and social participation. The analysis combines necessary condition analysis (NCA) and fuzzy-set qualitative comparative analysis (fsQCA). NCA is used as a diagnostic tool for identifying upper-limit constraints, while fsQCA is used to identify sufficient combinations of conditions. The results suggest that experienced locational convenience is the clearest bottleneck condition for both outcomes. When a site is difficult to incorporate into residents’ daily walking routines, internal design quality has limited capacity to translate into sustained behavioral use. Among better-located spaces, high vitality is associated with several design configurations. The most stable recurrent pattern combines visibility, stay support, and locational convenience as core conditions, together with either interaction-supportive arrangement or activity accommodation. Low-vitality spaces follow a different logic, being characterized by the simultaneous absence of several supporting conditions rather than by the absence of one isolated feature. The paper therefore proposes a two-step diagnostic logic for rural public-space renewal: first checking whether a site is embedded in everyday mobility and then matching internal spatial conditions with local patterns of use.