The process of urbanization has accelerated economic growth while also presenting social challenges. Urban renewal is crucial for achieving sustainable urban development, especially by preserving traditional villages as cultural heritage sites within cities. This study employs Python algorithm programming and visual analysis functions to conduct a bibliometric analysis of 408 research papers on the preservation of traditional village cultural heritage in urban renewal from 1999 to 2023 in the Web of Science core database. The objective is to examine the historical background, current status, and future trends in this area. The analysis explores cooperation networks, co-citation relationships, co-occurrence patterns, and emerging characteristics of research on traditional village cultural heritage protection in urban renewal. It focuses on various aspects, such as authors, institutions, countries, journals, documents, and keywords. The results indicate that the study of traditional village cultural heritage protection in urban renewal can be divided into three developmental stages. “Sustainable development”, “cultural heritage”, “historic urban landscapes”, and “rural revitalization” are the research hotspots and future trends in this field. The results of this study provide a comprehensive overview of the evolution of research hotspots in this field and can help researchers willing to work in this research area quickly understand the research frontiers and the general situation.

The process of urbanization has spurred economic growth and social challenges, necessitating research on public spaces in urban renewal to optimize design, enhance functionality, promote sustainable urban development, and improve residents’ quality of life. However, existing studies lack in-depth discussions on development trends and research focal points. This study addresses the gap in existing literature, by conducting a bibliometric analysis using data from the Web of Science Core Collection database from 1 January 2000, to 1 April 2024. Using visualization tools such as VOSviewer and CiteSpace, the study examines publication trends, collaborative networks among countries, institutions, and authors, co-citation relationships among key journals and articles, and emerging research hotspots through keyword analysis. A total of 393 papers were analyzed, with China contributing the highest number (65), followed by the United States (51). Leading contributors include Zazzi Michele and Anguelovski Isabelle. The top three journals for publications are Sustainability, Cities, and Land. Key research trends highlight themes such as space syntax, nature-based solutions, and sustainable transportation. These findings have significant implications for urban planning and policy, suggesting that future urban development strategies should increasingly incorporate sustainable design practices and nature-based solutions to address both environmental and social challenges. By identifying global research trends and highlighting future challenges, this study provides a comprehensive overview that will help policymakers and practitioners in urban planning align their efforts with cutting-edge research and emerging best practices for more sustainable and resilient cities.

Although it has been shown that color can influence mental health and behavior, few studies have discussed the effects of cool and warm colors in classrooms on the perceived emotions of elementary school students. In this study, we investigated the emotional changes of elementary school students in Yinchuan City, Northwest China in classrooms with cool and warm color tones. By using the Positive and Negative Affect Scale for Children (PANAS-C), the emotions of 123 third- to sixth-grade students in classrooms with cool and warm color tones were measured. We found the following conclusions: (1) Overall, the emotional responses of the subjects in both the cool- and warm-colored classrooms showed a tendency for positive emotions to be higher than negative emotions. (2) There was no significant difference between the effects of cool and warm colors on the overall emotion of elementary school students, but there were significant differences in specific emotions; Compared to warm colors, cool colors had a more significant effect on increasing feelings of calm (β = −0.365, p = 0.041). Compared to cool colors, warm colors were more likely to cause participants to feel mad (β = 0.186, p = 0.099). (3) The effects of cool and warm colors on students’ emotions differed significantly by gender and grade level. Cool and warm color tones had a significantly greater positive impact on females. In contrast, cool and warm colors had a more pronounced effect on males’ negative emotions. In addition, we found that grade level was significantly negatively correlated with overall emotion (β = −0.696, p < 0.001), with lower grades perceiving emotion more positively than higher grades. These findings provide important insights into the spatial design of elementary school classrooms and provide valuable comparative data for studies in different regional and cultural contexts, further enriching the empirical support of color psychology theory.