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.

With the rapid development of urbanization and tourism in China, increasing attention has been paid to the protection and utilization of historical and cultural heritage, while tourists’ demands for travel experiences have gradually shifted towards in-depth cultural perception. This paper selects Beijing Fayuan Temple Historic and Cultural District as the research case, and adopts methods such as the LDA (Latent Dirichlet Allocation) topic model, collection and analysis of online text data, and field research to explore the current situation of pedestrian space in Fayuan Temple District and its optimization strategies from the perspective of tourists’ perception. The study found that the dimensions of tourists’ perception of the pedestrian space in Fayuan Temple District mainly include six aspects: historical buildings and relics, tour modes and transportation, natural landscapes and environment, historical figures and culture, residents’ life and activities, and tourists’ experiences and visits. By integrating online text data, questionnaire surveys, and on-site behavioral observations, the study constructed a “physical environment-cultural experience-behavioral network” three-dimensional IPA (Importance–Possession Analysis) evaluation model, and analyzed and evaluated the high-frequency perception elements in tourists’ spontaneous evaluations. Based on the current situation evaluation of the pedestrian space in Fayuan Temple District, this paper puts forward optimization strategies for the perception of pedestrian space from the aspects of block space, transportation usage, landscape ecology, digital technology, and cultural symbol translation. It aims to promote the high-quality development of historical blocks by improving and optimizing the pedestrian space, and achieve the dual goals of cultural inheritance and utilization of tourism resources.

At present, with the increasing global awareness of sustainable development and environmental protection, significant attention has been directed toward the ecological living environment in rural areas. Selecting appropriate rural waste treatment methods is crucial for promoting the sustainable development of the rural ecological environment. Existing research reveals that, in certain regions—ecological conservation zones—there is a lack of targeted evaluation systems for rural waste treatment methods. Moreover, how regional characteristics can be integrated with quantitative assessment outcomes to inform specific treatment solutions remains relatively less explored. This study took Beigou Village in Huairou District, Beizhuang Town in Miyun District, Wangping Town in Mentougou District, and Dakezhuang Township in Yanqing District—all located within Beijing’s ecological conservation areas—as research subjects. It develops a suitability evaluation framework for rural waste treatment, encompassing five dimensions: economic investment, technological factors, environmental pollution, social benefits, and carbon emissions. This study combined the Analytic Hierarchy Process (AHP) and the entropy weight method to determine indicator weights. The fuzzy comprehensive evaluation method was then employed to calculate comprehensive scores and conduct a graded assessment. The evaluation results effectively differentiated the sample grades (e.g., Beigou Village received a comprehensive score of 2.373, rated as “Good”). Based on the evaluation results and field investigations, tailored solutions—including physical, thermal, recycling, and integrated treatment approaches—were proposed for each village and town. This study investigated the precise “evaluation–solution” matching for rural waste treatment in ecological conservation areas, demonstrating distinct novelty compared to previous research. It provides direct guidance for waste management in the four villages and towns within Beijing’s ecological conservation areas, thereby enhancing the efficiency of resource utilization in rural regions.