The urban renewal of older districts usually has a significant impact on the sense of place and identity. However, a systematic post-renewal evaluation of older districts with cultural resources based on multi public satisfaction is still lacking. This study takes Nantou Ancient City in Shenzhen, an urbanized village with rich historical and cultural resources, as an example; this study introduces the multi public, including the residents, merchants and tourists, as the evaluation subject. By establishing an evaluation system suitable for the characteristics of Nantou Ancient City, this study explores the existing problems of renewal and transformation, summarizes experiences and lessons and provides a basis for the sustainable development of Nantou Ancient City and the organic renewal of urbanized villages in Shenzhen. First of all, on the basis of combing the existing community renewal evaluation system, especially the satisfaction evaluation and the research on the historical value of the urbanized villages, the historical and cultural value and the renewal and transformation process of Nantou Ancient City are introduced, and the multiple values of Nantou Ancient City are clarified. Secondly, the demand contradiction between the public group and the core stakeholders is analyzed, as well as the internal demand and difference of the public group. After that, combined with field research, literature analysis and network review data analysis, the post-renovation evaluation system of Nantou Ancient City is constructed in terms of six aspects: residential environment, supporting facilities, street space, history and culture, economy, commerce and social culture. Then, the questionnaire is designed for three different groups of residents, merchants and tourists, and the evaluation system is applied to Nantou Ancient City for empirical research. By means of mean analysis, variance analysis and IPA analysis, the similarities and differences of the evaluation of different public groups are compared, which is taken as the basis for summarizing the existing problems in the renovation of Nantou Ancient City, and optimization suggestions are put forward.

Our findings shed light on existing theoretical investigations and the sustainable development of urban villages and the policy recommendations are proposed for the sustainable development of urban villages. It is widely acknowledged that public spaces in urban villages play an important role in residents’ everyday lives, and the nighttime activities of most pedestrians are confined to the main streets in urban villages. Main streets are an important public space in urban villages at night and are a focus for comprehensive renovation in China. There has not been adequate research on main streets at nighttime, and such research is necessary to improve the quality of urban spaces and achieve high-quality development. This study used methods such as literature analysis, on-site research, and semi-structured interviews to understand the spatial characteristics of the main streets of urban villages at night and summarize the demands of pedestrians. This study used the Kano model to adjust the structure of the analytic hierarchy process (AHP) model to form the AHP–Kano model and construct an evaluation system based on the evaluation dimension of pedestrian needs. We conducted a questionnaire-based survey of pedestrians on the main streets of Pingshan Village and Nantou Ancient City in Shenzhen, and obtained the dominant categories of pedestrian demands and the results of satisfaction evaluations from the main street spaces of the two urban villages at night. According to on-site research, we analyzed the problems in the main street spaces of the two urban villages at night, and propose targeted renovation suggestions, which have clear value for improving everyday public spaces in urban villages at nighttime.

Characterized by early construction periods, as the concentration of low-income populations and a high level of aging, affordable housing communities face prominent challenges such as incongruence between age-friendly construction and the needs of the older adult population. It is urgent to provide pathways and tools for identifying age-friendly issues and optimizing the built environment. The systematic evaluation of age-friendly communities serves as the foundation for implementing intervention measures by developers. Therefore, the construction of a scientifically systematic evaluation system becomes an objective necessity for age-friendly community development. Building upon existing research, this study systematically outlines the subjects, processes, methods, and content involved in constructing an age-friendly community evaluation system. By the methods such as factor analysis and analytical hierarchy process (AHP), the study focuses on the public spaces of affordable housing communities in Shenzhen as a case for constructing an age-friendly evaluation system. The empirical validation of the indicator system is conducted, and the application results are resulted into concrete improvement recommendations and action items, aiming to provide a practical, quantitative tool for community age-friendliness evaluation. The study reveals that adhering to an effective evaluation process, exploring collaborations among multiple stakeholders, determining hierarchical evaluation criteria, and adopting diversified evaluation methods are key to constructing an age-friendly evaluation system for communities. Additionally, the specificity of the evaluation system is influenced by regional demographic structures, policy backgrounds, and the built environment.

Ancient fairs in China were designated as commercial zones with fixed stalls that had emerged from commodity exchange demands and socio-cultural factors such as clan systems and gentry intervention, exhibiting dual commercial–communal characteristics. Several ancient fairs in Shenzhen have been retained, including Gongming Ancient Fair, which maintains its original spatial configuration adjacent to industrial zones and urban villages, attracting a high concentration of migrant workers. Survey results show that 85% of Gongming residents demand public space renovations, citing inadequacy of the spaces to support public activities. Given the intrinsic link between public spaces and public activities, fostering their positive interaction is crucial for enhancing urban vitality. However, existing studies predominantly focus on the physical environment and neglect activity-driven optimization perspectives. This study first employed social network analysis (SNA) to construct two networks of Gongming Ancient Fair, using the software Ucinet 6.755, including a public space network based on spatial connectivity and a public activity network based on pedestrian flow. Second, the networks’ structural characteristics were analyzed using seven metrics: node degree, density, betweenness centrality, betweenness centralization, clustering coefficient, average path length, and small-world property. Discrepancies between the networks were quantified through betweenness centrality comparisons, with field surveys and interviews identifying causal factors including seasonal product limitations, spatial constraints, inadequate supporting facilities, and substandard management. Based on the survey data and analytical results, the key renovation nodes were categorized into three types: high-control-capacity nodes, high-expectation nodes, and culturally distinctive nodes. Finally, three optimization strategies are proposed. This study integrates sociological perspectives into ancient fair revitalization, addressing gaps in activity-driven spatial research.

Informal settlements are widely present and important urban spaces, providing valuable living spaces for many migrant populations, low-income groups, and indigenous peoples. However, urbanization faces a common challenge: the transformation of informal settlements often destroys social structures and belongingness. Despite its importance, few studies have examined how redevelopment is correlated with original residents’ belongingness. To address this gap, this study proposes a research framework of belongingness structured along the logical chain of “network–node–subject”. Social network analysis (SNA) is employed to identify the existing outdoor activity space network and its key nodes. Exploratory factor analysis (EFA) is then conducted to determine the key environmental features of outdoor activity spaces that influence original residents’ belongingness. Furthermore, K-means clustering is applied to explore the correlation mechanism between space and belongingness across different age groups. This study identifies differentiated and universal elements by analyzing the clustered conflict factors, in order to provide precise policy insights. The findings provide actionable insights for enhancing residents’ belongingness during the redevelopment of informal settlements in cities.

To understand the effect of capitalism on consumers, we choose to research the advertisement of Nike under a specific hashtag, "#DreamCrazier." We analyze the comments on Two social media- YouTube and Twitter- under that advertisement to see how consumers react to Nike's advertisement related to feminism. Using LACOLD software, we find keywords that most frequently appeared in those comments and, finally, get to know the reaction of potential consumers- social media users- towards that advertisement and even the brand.