Harbin, as a popular tourist city in China, and the host of the 2025 Asian Winter Games, boasts rich tourism resources and significant potential for further development. The structure of the urban road network is a crucial factor influencing the spatial distribution of tourism service facilities. However, the current research on the correlation between the two, analyzed at multiple scales based on tourists’ travel preferences, is not sufficient. First, utilizing the questionnaire survey method to analyze tourists’ travel preferences and combining it with the theory of 15-min life circle, we determine the study scales at 500 m, 1000 m, 3000 m, and 5000 m. Secondly, the integration value and choice value of roads in the main urban area of Harbin are analyzed based on the theory of spatial syntax. The spatial distribution characteristics of tourism service facilities are then revealed through kernel density analysis. Finally, the correlation between the road network structure and the distribution of various types of tourism service facilities in Harbin at different scales is determined through buffer analysis and Pearson bivariate correlation analysis. The results show that: (1) Integration value plays a significant positive role in promoting the clustering of tourism service facilities, especially tending to cluster in areas with high integration value formed at a scale of 500 m; (2) At the scale of 3000 m, the distribution of tourism service facilities exhibits a significant correlation with the choice value; (3) The correlation between dining, shopping, and entertainment facilities and the integration value decreases with the increase in scale, whereas the spatial distribution of accommodation and attraction facilities does not exhibit a regular pattern with changes in integration value. In addition, this paper also puts forward targeted suggestions for optimizing the urban road network structure, reasonably locating tourism service facilities, and implementing balanced regional development. The contribution of this study is that it will help improve tourists’ travel experience in the city and provide scientific support for promoting the overall sustainable development of tourism in Harbin.

In the context of people-centered and sustainable urban policies, identifying renewal potential based on vitality enhancement is crucial for urban regeneration efforts. This article collected population density data, house price data, and built environment data to examine the spatial pattern characteristics of Harbin’s core area using spatial autocorrelation analysis. Building on these findings, a geographically weighted regression (GWR) model was constructed to further analyze the influencing mechanisms of the relevant factors. The analysis revealed significant spatial development imbalances within Harbin’s core area, characterized by differentiated and uneven development of social and economic vitality between the old city and newly constructed areas. Notably, in certain regions, the construction intensity does not align with the levels of social and economic vitality, indicating potential opportunities for urban renewal. Furthermore, the examination of key influencing factors highlighted that the accessibility of commercial facilities and development intensity had the most substantial positive impact on social vitality. In contrast, the age of construction and the distribution of educational facilities demonstrated a strong positive correlation with economic vitality. By clearly delineating specific areas with urban renewal potential, this study provided a detailed characterization of the urban development pattern in Harbin. Additionally, by depicting the local variations in influencing factors, it established analytical foundations and objective references for urban planning in targeted locations. Ultimately, this research contributes new insights and frameworks for urban renewal analyses applicable to other regions.

Currently, university students are facing high levels of stress and negativity. Creating a campus learning environment that promotes students’ physical and mental health and well-being has become a key focus of current research. There is now a wealth of research proving that the natural attributes of learning spaces are highly restorative for university students, both physically and mentally. In order to comprehensively clarify the characteristics of the library spatial environment that has a restorative effect on university students, this paper conducted semi-structured interviews with 50 university students and thematically analyzed the data obtained from these interviews. Ultimately, we identified five key themes: (1) Being away: students believe that studying alone is a way to escape social pressures, immersing themselves in their studies helps them forget everything around them, and the view from the window creates a sense of detachment; (2) Extent: students perceive the design of the library space as rich and orderly; (3) Fascination: many elements of the library spatial environment appeal to them and make them feel energized. The overall atmosphere motivates them to engage more actively in their learning; (4) Compatibility: the library spatial environment provides a variety of facilities that meet their learning needs, along with various types of spaces catering for different behaviors; and (5) Biophilia: Many interviewees mentioned the benefits of natural environments and timber, as well as their preference for spaces with a sufficient sense of enclosure and the ability to observe others. The first four themes were found to be closely related to the Attention Restorative Theory during the course of the study, while the last theme was mentioned by most of the students. The results of this study prove that library spaces can be described as restorative environments in the same way as natural environments, with both physical and mental restorative effects. Furthermore, the results of this study can also provide certain ideas for the design and renovation of the internal spatial environment of university libraries.