Historical blocks are a vital component of urban cultural heritage, serving as a link for regional cultural inheritance and a carrier for showcasing urban charm. Enhancing the quality of cultural tourism experiences in these areas can activate the endogenous momentum of cultural tourism industries and foster a virtuous cycle of cultural heritage conservation and utilization. Currently, research on the relationship between historical block spaces and cultural tourism experiences remains deep, and related theoretical gaps also constrain sustainable revitalization practices. Therefore, in this study, 20 representative historic districts with distinct regional cultural characteristics and well-developed cultural tourism in the Huizhou area were selected as research objects. By integrating multi-source data such as geographic information and Dianping reviews and applying the Partial Least Squares Regression (PLSR) statistical method, this study measures the correlation between the spatial morphology of Huizhou historic districts and cultural tourism experience indicators, identifying spatial influencing factors affecting cultural tourism experiences. The results show a significant correlation between the spatial form characteristics of historic districts and the quality of tourists’ cultural tourism experiences. Specifically, the regression coefficients of architectural space, transportation space, landscape space, and facility space in relation to the quality of cultural tourism experiences are significant at the p < 0.01 level. This paper innovatively conducts research from the perspective of urban design, employing a combined quantitative and qualitative analytical approach. The study fills existing gaps in quantitative analysis and empirical research on the spatial forms of historic districts and cultural tourism experiences and breaks through the limitations of qualitative research on traditional cultural tourism. It provides practical references for the organic protection of historical district buildings in the context of sustainable urban renewal.

Single-function industrial parks are transforming into innovation districts which combine innovation elements with urban elements. As one of the urban elements, the urban commercial nodes (UCNs) have exhibited a co-evolution phenomenon with sci-tech enterprises (STEs) in innovation districts. However, the urban planning practice of many innovation districts still falls behind in converting industrial land to commercial land use after construction, and the problem of mismatching commercial resources with consumer demand persists. This study aimed to explore how to rationalize the planning of UCNs to make them better fulfill the mission of serving economic growth by analyzing the correlation between UCNs and the development of STEs. The Hangzhou West High-Tech Corridor was adopted as a typical research sample which represents the latest development trend occurring in China’s most innovative districts and leads China in the coordinated development of sci-tech industries and urban life. Using point-of-interest data, Internet assessment data, and corporate business information data, a spatial correlation test and partial least squares regression analysis were performed. The results show that there was a significant spatial correlation between UCNs and STEs. The scale of UCNs had a significant positive correlation with the degree of agglomeration, development scale, and comprehensive development level of the STEs. The catering; hotel; and culture, sports, and entertainment industries correlated the most with STE development. The commercial complex was one of the physical forms that were conducive to the development of surrounding STEs. This study provides references for rational planning of UCNs and STE clusters, and for optimizing the allocation of commercial resources and physical commercial forms in the urban planning process of innovation districts.

The development of sci-tech parks (STPs), as the spatial carrier of urbanization and the growth pole of the innovation economy, cannot be separated from the integration of the three key elements of “industry”, “city”, and “innovation”. This study selects the Hangzhou West Hi-Tech Corridor, which represents the forefront of development practice of China’s STPs and which is a high-quality model with highly integrated “industry–city–innovation” functions, as a case. By using multi-source data, such as geographic information and the point of interest (POI), and research methods, such as the Shannon entropy index and quadratic curve regression, this study examines the influence of “industry–city–innovation” functional mixing on the innovative development of STPs, and explores the optimal mixing degree interval. The results show that the mixing of “industry–city–innovation” functions can promote the STPs’ innovative development, to a certain extent, in the spatial design of urban planning. However, higher mixing is not always better, and excessively high mixing may inhibit innovative development. The optimal functional mixing degree conducive to the STPs’ innovative development is in the range of 0.14 to 0.16. This study is an effective application of the “industry¬–city–innovation” integration theory, provides a constant source of power for urban innovative development, and acts as a reference for future new cities and STPs.