With the increasing public awareness and strength of industrial heritage protection, industrial heritage plays an increasingly important role in tourism after transformation and upgrading. The influence of built environment factors and visitors’ participation on satisfaction has been fully confirmed, but the primary and secondary relationships between the two variables remain unclear. The purpose of this study is to explore the relationships between the built environment, tourist participation, and tourism satisfaction, and compare the actual loads of different routes to find the dominant variable. The data of this study came from three industrial heritage renovation projects in Shanghai with remarkable transformation results. Field investigations and questionnaire surveys were conducted on them, and a total of 362 valid samples were received. Descriptive statistical analysis and structural equation models were used to analyze the data. Two paths of “built environment–tourism satisfaction” and “tourist participation–tourism satisfaction” are compared and demonstrated. The path coefficient of the former is 0.63, while that of the latter is 0.77, and the influence of the latter is more significant than that of the former. The study creatively found the audience orientation of both sexes for different types of experience activities, confirmed the mediating effect of subjective perception, and provided the following suggestions for managers of built industrial cultural heritage. Interactive experiences and guided tours deepen visitors’ understanding of the historical and cultural value of industrial heritage. Virtual reality and augmented reality technologies can be introduced to provide an immersive visit experience and attract a wider audience to participate, effectively enhancing the attractiveness of and satisfaction with industrial heritage tourism.

As urban aging issues intensify, the impact of the built environment in urban neighborhoods on the physical and mental health of elderly residents has garnered increasing attention. Previous studies have demonstrated that the built environment is related to various health outcomes; however, most empirical research typically focuses on the objective physical environment, lacking measurements of subjective environmental perceptions. This study, using 24 neighborhoods in Shanghai as case studies, employed deep learning, big data methods, and surveys to collect 462 valid questionnaires from elderly residents. Structural equation modeling was applied to explore the relationship between the built environment and the physical and mental health of elderly residents, incorporating respondents’ subjective perceptions, physical activity, and neighborhood relationships as chain mediation effects. The results indicate that although there is no direct relationship between the built environment and the mental health of elderly residents, the built environment positively impacts mental health through enhancing subjective.

Visual cues in urban street environments shape residents’ perceived safety, and these perceptions often differ across social groups. Using Shanghai as a case study, this research focuses on two vulnerable populations: older adults and migrants. In the context of rapid urban transformation and increasingly fine-grained governance, perceived safety not only reflects environmental experience but also relates to whether different social groups can receive equitable perceptual support and access to opportunities for public-space use. We trained a deep learning model and rated perceived safety using over 160,000 street-level images, integrated with demographic census data at the neighborhood level, to systematically examine inequalities in visual environment perception and underlying group-specific mechanisms. However, existing studies have largely relied on small-sample surveys or average-effect analyses, and systematic evidence remains limited that can simultaneously characterize city-scale inequalities in perceived safety, disparities in group exposure, and group-specific mechanisms, while translating findings into actionable guidance for targeted governance. Firstly, we quantified spatial inequality in perceived safety using the Gini coefficient and the Theil T index. Decomposition results indicate that the remaining disparity is primarily associated with between-group differences linked to social structure. Nonparametric tests and multiple linear regression further identified significant interactions between demographic characteristics (the share of older adults and the migrant proportion) and visual environmental features, confirming group-differentiated responses to comparable streetscape conditions. In addition, we developed a priority governance index that combines perceived safety scores with vulnerability indicators to spatially identify neighborhoods requiring targeted interventions. Results suggest relatively low overall spatial inequality in perceived safety at the city scale, while decomposition analyses reveal clear group-structured disparities between central and peripheral areas and between local residents and migrants. Migrants are more frequently concentrated in neighborhoods with lower perceived safety. Priority intervention areas are primarily older-adult communities in central districts and migrant settlements in peripheral areas, characterized by lower perceived safety and higher demographic vulnerability. These findings underscore the need to shift urban renewal from uniform improvements toward differentiated strategies that account for perceptual equity and social identity. Our main contribution is not the development of a new network architecture but the alignment of image-based perception estimates with demographic vulnerability at the neighborhood scale. By combining inequality decomposition with tests of interaction mechanisms, we provide governance-relevant evidence for identifying priority intervention areas and advancing fine-grained renewal decisions oriented toward visual justice.

Revisit intention is increasingly recognized as a key indicator of sustainable heritage tourism, as it reflects long-term visitor engagement rather than one-time consumption. However, limited attention has been paid to how tourism preferences shape perceived heritage quality and subsequently influence revisit intention, particularly in industrial heritage contexts undergoing urban regeneration. This study develops a structural model linking tourism preferences, perceived quality, and revisit intention, using Shanghai’s waterfront industrial heritage as an empirical case. Based on 335 valid questionnaires, structural equation modeling (SEM) is employed to examine the relationships among environmental preference, cultural and social sustainability preferences, situational perception, and behavioral intention. The results indicate that preference for a sustainable public space environment significantly enhances both physical and atmospheric perception, which in turn positively affects revisit intention. In contrast, social sustainability shows limited influence, suggesting that visitors’ behavioral responses are more strongly driven by environmental quality and experiential engagement in regenerated industrial heritage settings. This study contributes to sustainable heritage tourism research by integrating preference-based perception mechanisms into revisit intention analysis. It also provides practical implications for enhancing long-term attractiveness through experience-oriented adaptive reuse strategies.

Introduction: With the acceleration of global urbanization, the development of female-friendly cities has become a key objective in urban planning. This study investigates strategies for optimizing residential community facilities in Yangpu District, Shanghai, from a female-friendly perspective, aiming to inform policymakers and improve the quality of life and satisfaction of women. Methods: Drawing on field surveys conducted across 36 communities and 923 valid questionnaires, descriptive statistical analysis and structural equation modeling (SEM) were employed to examine women’s daily needs regarding safety, convenience, and opportunities for social interaction. Results: The key findings reveal that, first, the built environment of community facilities significantly influences perceptions of female-friendliness and residential satisfaction, with recreational facilities exerting the strongest impact. Second, the direct relationship between female-friendliness and satisfaction is relatively weak, potentially due to individual differences and variations in environmental contexts. Finally, subjective perception mediates the relationship between the built environment and overall satisfaction. Discussion: Based on these findings, this study proposes a comprehensive strategy: implementing incentive policies and evaluation mechanisms; optimizing spatial layouts, establishing women-specific facilities, and enhancing connectivity; and strengthening facility management and service standards.

(1) Background: Age-friendly emphasizes creating an appropriate living environment for people of all ages, which plays a crucial role in promoting intergenerational interaction in community public spaces and is conducive to achieving sustainable social development. This study explores how residents’ views on community public spaces affect their happiness, with intergenerational interaction acting as a mediating factor. (2) Methods: The data were sourced from 36 typical residential communities in 12 subdistricts of Yangpu District, Shanghai. Field investigations and questionnaire surveys were conducted on these communities, and a total of 1048 valid samples were collected. Descriptive statistics and structural equation models were employed to analyze the data. (3) Results: This research reveals that overall environmental perception significantly enhances happiness, and intergenerational support mediates this relationship. Factor loadings indicate that education & training and elderly & childcare spaces are the most salient dimensions of environmental perception, underscoring fundamental role in shaping how residents form their overall evaluation of community spaces. Through their strong association with intergenerational support, play a significant indirect role in enhancing residents’ happiness. Community belongingness plays a reinforcing role between intergenerational support interaction and happiness. The analysis of individual attributes further reveals that the length of residence and gender have moderating effects on the perception of public spaces. (4) Conclusions: This study examines the path of “Environmental perception → Intergenerational interaction → Happiness” and identifies the key mediating role of intergenerational support in this relationship. The conclusions indicate that optimizing community public spaces, particularly by improving “empowering” and “protective” spaces and fostering intergenerational integration through activities, can enhance residents’ belonging and happiness, offering a pathway to advance the SDGs.