As rural revitalization advances, the age-friendliness of public spaces directly impacts the well-being of left-behind elderly populations. However, the spatial and social marginalization of these vulnerable groups in tourism-driven peri-urban villages remains critically underexplored. To bridge this gap, this study proposes a quantitative evaluation framework integrating space syntax and multiple linear regression to investigate the matching mechanism between physical spatial layout and elderly activity needs. Focusing on Shixia Village in Beijing, surveys and satisfaction assessments were conducted with 30 elderly residents (representing a rigorous 27.3% of the permanent population). Space syntax analysis revealed a distinct “core-periphery” spatial differentiation. Despite a moderate spatial intelligibility (0.586), the rapid decay of integration in peripheral clusters acts as the primary physical bottleneck restricting the elderly’s social radius. Furthermore, regression results indicate that public facility accessibility (β = 0.703) and residential environment quality (β = 0.779) are the core positive drivers of satisfaction (p < 0.001). Conversely, road connectivity exhibited an unexpected negative correlation (β = −0.308). This highlights a crucial “double-edged sword” effect: in traditional villages with tourism development, excessive spatial permeability diminishes the elderly’s territorial sense of security due to external traffic interference. Finally, targeted optimization strategies—including traffic-calming interventions and hierarchical node layouts—are proposed, providing an operational evaluation model and design reference for age-friendly environmental construction in similar peri-urban villages.

Industrial heritage-based cultural and creative parks (IHCCPs) have become an important approach to adaptive reuse and sustainable urban regeneration in post-industrial cities. As the primary interface between the city and the park, entrance spaces play a critical role in shaping visitors’ first impressions, place identity, and cultural perception. Drawing on Cultural Perception Theory, this study investigates the entrance spaces of four representative IHCCPs in China using field surveys, questionnaire surveys, and a modified Importance–Performance Analysis (IPA) framework, in which the conventional importance–performance dimensions are reconceptualized as perception and satisfaction. The results indicate that the case study parks perform well in barrier-free accessibility, entrance image, and material application. Based on the perception–satisfaction analysis, the entrance-space attributes were systematically classified according to their relative strengths and improvement priorities, providing the basis for identifying key optimization directions. Accordingly, a perceptual experience-oriented optimization framework is proposed, comprising four complementary strategies: functional coordination, environmental layering, landmark organization, and cultural translation. By integrating Cultural Perception Theory into an adapted IPA framework for entrance-space evaluation, this study extends existing research and provides a practical framework for the adaptive reuse of industrial heritage and the regeneration of public spaces in comparable post-industrial contexts. Its broader applicability to different geographical and cultural settings warrants further validation through future research.

The impacts of flooding on people’s livelihoods are profound. Therefore, the rapid restoration of safe conditions in existing buildings post-flood, through rational and effective emergency strengthening, constitutes a most urgent priority. Focusing on the specific challenges of flood-induced damage to buildings, coupled with the constraints of limited resources and time-sensitive conditions after a disaster, this study established an indicator system for prioritizing emergency strengthening schemes for existing buildings after floods. A dedicated prioritization model is developed by integrating Prospect Theory and a combination weighting method. The application of this model to a practical engineering case verifies its feasibility and effectiveness. The results demonstrate that the proposed model can rationally and efficiently select the optimal scheme, thereby providing new insights for the quantitative selection of optimal emergency strengthening schemes for existing buildings after floods. This study also highlights the model’s transferability to different disaster scenarios, while its limitations were discussed and future research directions outlined.

The current urban development model is gradually shifting from incremental expansion to optimizing existing resources and enhancing functionality. To address the need for diversified land use and refined allocation in urban development, this paper takes the Dongfeng Renewal Unit in Jinan Science and Technology City as a case study. It proposes a multi-objective optimization of urban land use guided by sustainable development principles, aiming to adjust and optimize the structure and layout of urban land use within the spatial planning domain. First, based on the detailed planning and current construction status of the area, a spatial data model for the district is constructed. Subsequently, targeting production development, living convenience, ecological livability, and sustainable development, the model is solved using the Non-Dominated Selection Genetic Algorithm II (NSGA-II), iteratively generating a solution set of several potential optimal land use plans. Finally, the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) is employed to select the optimal land use plan from the feasible solution set based on different preferences. The study reveals that a multi-objective optimization model for sustainable land use, fully considering spatial factors, can generate more valuable land use solutions. This approach offers valuable insights and references for land use optimization in other regions. Based on these optimized land use solutions, reference strategies for land use optimization and spatial planning can be proposed for urban detailed planning, thereby providing robust support for cities to achieve their goals of production, living, ecology, and sustainability.

The 2024 World Heritage inscription of the Beijing Central Axis shifts the focus of historic district governance to quality-oriented urban regeneration. However, evaluating the precise alignment between infrastructural topology and cultural meaning remains a methodological challenge. To move beyond macro-level assumptions, this study constructs a novel “spatial–semantic coupling” diagnostic framework. Integrating multi-source street-view data, Space Syntax, and the zero-shot semantic extraction capabilities of the CLIP model, we performed high-resolution visual semantic identification across 550 fine-grained sampling points in the 6.6 km² South Central Axis Core Area. Rather than merely observing a general “decoupling,” our diagnostic tool successfully mapped the complex spectrum of spatial alignments. While it accurately diagnosed areas with “idle spatial potential”—where high Global Integration (Mean = 0.924) fails to translate into Visual Attraction (r = −0.03) or Historical Perception (r = 0.01)—it also precisely identified “Synergistic” heritage cores and “hidden gems” within capillary hutongs. Furthermore, the framework diagnosed a severe “green island” effect (Mean = 0.26) and a structural contradiction between Spaciousness and Historical Perception (r = −0.33). By utilizing Bivariate LISA to geographically pinpoint these varying coupling characteristics (e.g., severe “High–Low” spatial frictions at gateway transportation hubs), this study establishes a highly scalable, data-driven analytical paradigm for targeted micro-renewal, ensuring the precise alignment of physical centrality and cultural perception in complex historic districts globally.

The regeneration and utilization of idle, old industrial buildings in urban areas has become a focus of urban development, owing to urban renewal and industrial structural adjustment. At the same time, the increasing demand for sports space has highlighted the insufficient supply of sports facilities in cities. To solve this dilemma, the transformation of old industrial buildings into sports venues has become another mode of recycling and reuse in recent years. Due to the many specialties, complex contents, and numerous influencing factors involved in the transformation process, the suitability of these buildings is uncertain. To ensure the suitability of the transformation project, the theory of old industrial buildings recycling and sports building design specifications was used. An index system was established for the evaluating the suitability of transforming old industrial buildings into stadiums, which included five first-level and twenty second-level indices. Based on the matter–element extension theory, a suitability evaluation model was constructed to transform old industrial buildings into sports venues. The correlation function of each evaluation index was calculated, and the index weight was determined using the entropy weight method to obtain the suitability grade of the renovation project, which was verified by the renovation project case. The research shows that the suitability level of the renovation project is level II, which is consistent with the actual situation, indicating that the evaluation model—based on entropy weight method and matter–element extension method—for the transformation of old industrial buildings and stadiums has high reliability.