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.

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.

(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.