Urban regeneration has played an important role in Chinese successful urban economic development and is constantly evolving along with the changes in the demands of urban development. However, there have been relatively few studies on urban regeneration evolution. In order to explore the relationship between the evolution of urban regeneration and urban development in China, this paper divides China’s urban regeneration into four stages from the perspective of governance mode, namely, unitary governance, binary governance, tripartite governance, and pluralistic co-governance. It is found that the evolution of urban regeneration is closely related to the core contradictions in the process of urban development, and the development challenges at each period are often caused by the urban regeneration governance mode in the pervious phase. The evolution of urban development and urban regeneration governance mode presents the phenomenon of interaction. Based on the understanding of urban regeneration evolution, this study points out the problems that need to be solved in China’s urban regeneration in the future with suggestions, and the hope is that this study can provide experiences for the urban regeneration development of other developing countries.

In old urban districts with tenement buildings, street markets address the working class’s social and economic needs. They are pivotal in fostering supportive communities, in particular for low-income residents in sub-standard housing. However, their outdated overall environment impedes the delivery of adequate support to residents. Prior research on street markets has focused on those in the Americas and Europe, and has revealed the societal support values of these markets. However, studies on street markets in high-density cities like Hong Kong are lacking. This study introduces an evaluation framework to assess the impact of street markets on the development of supportive communities for Hong Kong’s sub-divided apartment residents. Employing the Pei Ho Street market in Sham Shui Po as a case study, an importance-performance analysis highlights critical but underperforming factors including public facilities, activity venues, commerce, and employment. Based on these findings, the study proposes four improvement strategies for the renewal of street markets in high-density communities, which could apply to other cities with similar high-density urban environments. It concludes that street markets in Hong Kong display unique spatial characteristics shaped by low-income lifestyles in a high-density urban environment, enriching daily social life and promoting sustainable community development.

Urban housing rents are central to socioeconomic dynamics and urban sustainability, shaping affordability and quality of life. Existing research largely relies on linear models and focuses on economic, demographic, and locational factors, often neglecting complex nonlinear interactions and the impact of human perceptions. This study introduces a comprehensive, multi-perspective framework that integrates housing attributes, living convenience, competition, location, accessibility, and quantified perceptual metrics using multimodal machine learning. Advanced techniques, including XGBoost, SHAP, Partial Dependence Plots (PDPs), Interpretative Structural Modeling (ISM), and Bayesian Network (BN), capture nonlinearities, interactions, and hierarchical dependencies among rent determinants. Housing attributes and living convenience indicators exert the strongest cumulative influence on rents, while perceptual variables rank third, providing significant, threshold-dependent contributions and explaining up to 21.66% of rent variation. Notable interactions are identified between accessibility, facility density, and perceptual quality. The ISM–BN analysis uncovers multi-level pathways, demonstrating how both environmental features and human perceptions jointly influence rents. This framework offers actionable insights for equitable housing and urban planning policies, supporting data-driven decisions in complex urban rental markets.