To enhance the adaptability and disassemblability of winter ice fishing safety auxiliary products, a modular design approach was introduced during the design process. Axiomatic design (AD) and design structure matrix (DSM) were employed as the theoretical guidance and methodological framework. In the design process, the “Z-mapping” method was used to reanalyze the product’s requirements, functions, and structure, progressively decomposing the overall function and constructing a corresponding design matrix. This approach converted initial user requirements into detailed functional specifications and design parameters. Geometric correlation was used as the evaluation criterion, with values assigned to the design matrix, leading to the development of a correlation matrix for the design parameters of the winter ice fishing safety auxiliary product. System clustering techniques were then applied to optimize the distribution of matrix values, allowing for the identification of functional module areas. Based on these results, a modular design scheme was proposed. The findings indicate that the Kano-AD-DSM-based design strategy significantly improved the disassemblability of the winter ice fishing safety auxiliary product, which is crucial for protecting the safety of ice fishers, reducing physical exertion, and enhancing the ice fishing experience. Moreover, the multi-module design allows the product to be flexibly configured and upgraded based on varying operational needs and personalized user requirements, significantly improving its adaptability and practicality. This research not only provides new theoretical insights for the innovative design of winter ice fishing safety auxiliary products but also offers valuable references for the modular design of similar products.

This study addresses the issue of low utilization rates of kitchen waste recycling facilities in urban communities in China, caused by insufficient resident willingness to participate and sustain use, which impacts the efficiency of urban sustainability. A system design model based on Affordance Theory (BIATM) is proposed to connect behavioral insights with design and decision-making tools to improve sustainability outcomes at the local level. This model includes three components: demand classification identification based on Affordance Theory and the Best-Worst Method (BWM), hierarchical relationship analysis of demand based on Interpretive Structural Modeling (ISM), and design transformation based on Affordance Theory. Unlike prior approaches that apply affordance theory as a post hoc interpretive lens, this study operationalizes it as a generative design tool integrated with quantitative demand analysis. The results indicate that “Incentive Feedback” is a key factor directly influencing sustained participation behavior, while factors related to hygiene anxiety and operational burden are fundamental constraints to residents’ use of community kitchen waste recycling facilities. This suggests that the explicit needs expressed by residents may not always be the primary drivers of behavior initiation and continuity. To promote sustained participation, design should prioritize meeting deeper behavioral prerequisites and maintain participation through superficial feedback and incentive mechanisms. Based on this analysis, three design proposals for community kitchen waste management facilities are presented, evaluated, and optimized using the TOPSIS method. The study concludes that combining demand weight identification, hierarchical relationship analysis, and Affordance Theory translation effectively supports the identification, design generation, and optimization of community kitchen waste management facilities, providing a methodological reference for the sustainable design of public service facilities and practical pathways for promoting resident participation in community resource recycling.

By integrating cultural genes with extensible semantic concepts, this study explores the application forms and design methodologies of the material manifestations and underlying essence of Lu embroidery’s intangible cultural heritage within contemporary social contexts, thereby promoting outstanding national culture by selecting Lu embroidery, a representative ICH of the Qi–Lu region, and employing the dual-drill model to conduct genetic extraction and classification of its elemental characteristics. It provides a foundation for constructing a scalable element set. Using the Kegel semantic analysis method, we extract the fundamental model of Lu embroidery’s cultural genes and construct a set of Kegel-based visual design elements representing explicit cultural genes. Through graphical semantic analysis, we further develop a set of Kegel-based imagery elements corresponding to implicit genes, thereby facilitating the expression and design innovation of these cultural genes. Taking lamp design as an example, this study reconstructs and visualizes both explicit and implicit cultural elements to validate the feasibility and rationality of the research methodology. The semantic design-based translation that integrates the tangible manifestations and value essence of Shandong embroidery culture represents an innovative approach to digital preservation of this traditional craft, while also serving as a model reference for the inheritance and development of intangible cultural heritage in other regions.