Gentrification, as a term introduced into China 20 years ago, has now become a topical word in scholarly discussion. This paper for the first time used the software of multiple pieces to analyze literature on gentrification between 1996 and 2017 in China based on bibliometrics, aiming to get the overview of the study, identify and expound the research themes, and analyze their evolution. It showed that the study on gentrification had entered into an exploratory stage with fluctuation from the early germination stage; gentrification research mainly concentrated on two disciplines, namely Geography and Urban and Rural Planning; the top 10 influential authors were identified and collaborative research teams leading the gentrification research had initially been formed. The themes of gentrification research in China were decided by visual analysis method, including urban renewal and dynamic mechanism of gentrification, evaluation and response to the effects of gentrification, new types of gentrification, and historical and cultural heritage conservation and creative industry, on which deeper content and information were described in detail. In terms of research themes evolution analysis, the results showed that the gentrification research in China had experienced the shift from initial concept and literature introduction to current empirical research and theory construction. There are significant signs showing the future trends of gentrification will move to the construction of a theoretical system of gentrification with Chinese characteristics, gentrification consequences evaluation and urban policies, new types of gentrification, gentrification driven by cultural consumption and authenticity protection of gentrification-stricken historical and cultural heritages, application of new technology to gentrification research, and relationship between shantytown renovation and gentrification in China. As to this paper, as far as the authors know, it is the first comprehensive systematic summary within this field based on bibliometric analysis.

With the intensification of global climate change, the frequent occurrence of typhoon disaster events has become a great challenge to the sustainable development of cities around the world; thus, it is of great significance to carry out the assessment of typhoon-directed economic losses. Typhoon disaster loss assessment faces key challenges, including complex regional environments, scarce historical data, difficulties in multi-source heterogeneous data fusion, and challenges in quantifying assessment uncertainties. Meanwhile, existing studies often overlook the complex relationship between the spatial expansion of urban and rural construction (SEURC) and typhoon disaster losses, particularly their differential manifestations across different regions and disaster intensities. To address these issues, this study proposes CLPFT (Comprehensive Uncertainty Assessment Framework for Typhoon), an innovative assessment framework integrating prototype learning and uncertainty quantification through a UProtoMLP neural network. Results demonstrate three key findings: (1) By introducing prototype learning, a meta-learning approach, to guide model updates, we achieved precise assessments with small training samples, attaining an MAE of 1.02, representing 58.5–76.1% error reduction compared to conventional machine learning algorithms. This reveals that implicitly classifying typhoon disaster loss types through prototype learning can significantly improve assessment accuracy in data-scarce scenarios. (2) By designing a dual-path uncertainty quantification mechanism, we realized high-reliability risk assessment, with 95.45% of actual loss values falling within predicted confidence intervals (theoretical expectation: 95%). This demonstrates that the dual-path uncertainty quantification mechanism can provide statistically credible risk boundaries for disaster prevention decisions, significantly enhancing the practical utility of assessment results. (3) Further investigation through controlling dynamic assessment factors revealed significant regional heterogeneity in the relationship between SEURC and directed economic losses. Furthermore, the study found that when typhoon intensity reaches a critical value, the relationship shifts from negative to positive correlation. This indicates that typhoon disaster loss assessment should consider the interaction between urban resilience and typhoon intensity, providing important implications for disaster prevention and mitigation decisions. This paper provides a more comprehensive and accurate assessment method for evaluating typhoon disaster-directed economic losses and offers a scientific reference for determining the influencing factors of typhoon-directed economic loss assessments.

Against the background of urban stock renewal, new public cultural facilities are important carriers for improving the public cultural service system, and their spatial configuration is closely related to the equity and efficiency of public cultural resource allocation. The spatio-temporal distribution patterns of public cultural facilities and the factors influencing them have important implications for optimizing the allocation of public cultural facilities and advancing the equalization and sustainable development of public cultural services. Using urban reading rooms (URRs) in Luoyang’s central urban area as a case study, this study employed kernel density estimation, standard deviational ellipse analysis, exploratory space–time data analysis (ESTDA), and the Optimal Parameters-based Geographical Detector (OPGD) to systematically reveal the evolutionary characteristics of their spatio-temporal patterns and driving mechanisms. The results show that (1) the agglomeration pattern evolved from “two primary cores, four secondary cores, and multiple nodes” to “one primary core, one secondary core, and multiple nodes,” and finally to “one primary core and multiple nodes.” The spatial extent first contracted and then expanded, the overall distribution exhibited a northeast–southwest orientation, and the center of gravity shifted from the northeast to the southwest and then to the southeast. (2) The spatial distribution of URRs exhibited significant positive spatial autocorrelation, although the strength of positive spatial autocorrelation gradually weakened. High–high clusters showed a contracting trend, whereas low–high spatial outliers showed an expanding trend and were the most numerous. (3) A total of 79.74% of the grid cells exhibited relatively stable local spatial patterns; the directions of local spatial dependence exhibited pronounced spatial volatility; and 81.39% of the grid cells showed coordinated growth, indicating a high degree of spatial integration. The spatio-temporal mobility and cohesion coefficients indicated that the local spatial association structure of URRs exhibited strong stability and path dependence. (4) Public service facilities, bus stops, shopping facilities, food and beverage facilities, and population are the major factors influencing the spatial distribution of URRs. The vast majority of interactions among the influencing factors exhibit bivariate enhancement or nonlinear enhancement, indicating that the spatial distribution of URRs is characterized by pronounced multi-factor coupled driving effects. (5) The spatio-temporal pattern evolution of URRs results from the combined effects of multiple factors. Road and transport factors enhance connectivity, educational resources exert an attracting effect, socioeconomic factors provide support, public cultural resource factors produce synergistic effects, and everyday service factors play a dominant role. Together, these five categories of factors form a coupled driving mechanism involving multiple factors: connectivity–attraction–support–synergy–dominance. The findings provide a scientific basis for optimizing the spatial configuration of new public cultural facilities and promoting the equalization and sustainable provision of public cultural services in the context of urban renewal.