With the 14th Five-Year Plan for Development, China is promoting people-oriented urban regeneration for residential communities built before 2000. Evaluations of quality of life (QoL) and considerations of social sustainability must play an important role in defining people-oriented regeneration projects. Residents’ satisfaction is an important indicator of QoL and is essential for achieving socially sustainable development. To contribute to the ongoing discussion about people-oriented urban regeneration, this paper studies the correlation between QoL and social sustainability, investigating residents’ perception in high-density communities through a satisfaction evaluation approach based on the QoL index. Two high-density communities in Suzhou were analyzed: Nanhuan, a high-rise, gated community in one of the first expansions of the city in the 80s; and Daoqian, a multi-story, non-gated community in the old town. Both communities have a typical urban morphology and were selected for their exemplary characteristics. The study used a mixed research method: field investigation, on-site interviews, and a survey with over 670 questionnaires conducted and analyzed. It also applied the Structural Equation Model (SEM) to explore and define the satisfaction evaluation factors. The two communities expressed concerns about different factors: in the case of the Nanhuan community, property management and spatial scenario creation were emphasized, whereas in the case of the Daoqian community, unrestricted space mobility, poor existing conditions, and the demand for various facilities and recreation spaces were most prominent. The research found that improving community environmental quality and facilities would, as one would expect, improve residents’ satisfaction in both communities. Still, our research also clearly indicated that diversified spatial activities, currently missing in both cases, and more opportunities for social interaction would enhance residents’ satisfaction. The findings of this study offer some insights regarding socially sustainable community regeneration, as well as decision-making processes and design strategies.

In China’s fourteenth five-year plan, urban regeneration has become one of the most crucial strategies for activating the existing cities. Since creating vibrant urban spaces is a critical component of urban regeneration, understanding the patterns of community vitality helps formulate reactive regeneration policies and design interventions. However, the lack of local-scale measurement criteria and data collection methods has posed significant constraints to assessing and rejuvenating community vitality. Taking Suzhou Nanhuan New Village as a study area, our research involved a comparative study approach to investigate the fundamental driving mechanism of urban vitality with the support of a theoretical model (5D theory), multi-source data input, real-time photography technologies, and statistical analysis tools (Analytic Hierarchy Process). The result shows at the community level, the original ‘3d’ dimensions (‘Density’, ‘Diversity’, ‘Design’) remain key elements for forming vibrant spatial quality and functionality, and density factors matter significantly. This study intends to provide a new paradigm for small-scale community vitality assessment, verification, and regeneration by combining urban morphology with people-oriented and environmental-oriented perspectives. This research could support quantitative research on creating vibrant high-density communities in the urban regeneration process and bring insights to academics and design practitioners.

The Chinese urban regeneration movement underscores a “people-oriented” paradigm, aimed at addressing urban challenges stemming from rapid prior urbanization, while striving for high-quality and sustainable urban development. At the community level, fostering quality through a socially sustainable perspective (SSP) is a pivotal strategy for people-oriented urban regeneration. Nonetheless, explorations of community quality assessments grounded in an SSP have been notably scarce in recent scholarly discourse. This study pioneers a multidimensional quantitative model (MQM) for gauging community quality, leveraging diverse geospatial data sources from the SSP framework. The MQM introduces an evaluative framework with “Patency, Convenience, Comfort, and Safety” as primary indicators, integrating multi-sourced data encompassing the area of interest (AOI), Point of Interest (POI), Weibo check-ins, and Dianping data. The model’s efficacy is demonstrated through a case study in the Gusu district, Suzhou. Furthermore, semantic analysis of the Gusu district’s street view photos validates the MQM results. Our findings reveal the following: (1) AI-based semantic analysis accurately verifies the validity of MQM-generated community quality measurements, establishing its robust applicability with multi-sourced geospatial data; (2) the community quality distribution in Gusu district is notably correlated with the urban fabric, exhibiting lower quality within the ancient town area and higher quality outside it; and (3) communities of varying quality coexist spatially, with high- and low-quality communities overlapping in the same regions. This research pioneers a systematic, holistic methodology for quantitatively measuring community quality, laying the groundwork for informed urban regeneration policies, planning, and place making. The MQM, fortified by multi-sourced geospatial data and AI-based semantic analysis, offers a rigorous foundation for assessing community quality, thereby guiding socially sustainable regeneration initiatives and decision making at the community scale.