Alongside modern urbanization, traditional Lilong housing structures have undergone tremendous changes in internal and external spatial form and usage status in order to adapt to the needs of modern, social life. In these spontaneous transformations, the street "publicness" and the residential privacy create a set of contradictory relationships that affect the overall morphology of the neighborhood. Taking the traditional lane residential area of Xing'anli, Dongtai Road, Shanghai, China as an example, we analyze the relationship between street "activeness" and the rate of residential remodeling. We attempt to clarify the characteristics of street publicness and housing "privateness" in the traditional Lilong neighborhoods and their mutual effects. This contributes to a comprehensive, workable knowledge of traditional cities and has reference significance for future urban transformation. We analyze the space utilization characteristics of Lilong neighborhoods from two perspectives here. First, with the overflow articles as a medium, we explore the activeness characteristics of different types of roads using the SD method. Second, based on field surveying and mapping, we assess the remodeling characteristics of buildings around different types of roads through remodeling volume and rate statistics. We draw conclusions through careful analysis of the relationship between the street activeness and residential remodeling rate information.

Shantang Street in Suzhou serves as the object of this study; field investigation, street mapping, data statistics, and other methods are utilized to observe spatial elements, tourist density, and the relationships among them. The spatial elements of Shantang Street are divided into basic elements (store density, facade opening, water proximity, D/H) and activity elements (upper shelter, commercial overflow, life overflow). These characteristics are also analyzed quantitatively. Next, tourists on Shantang Street are counted on-site to analyze their basic density. The SPSS software Canonical Correlation tool is utilized to establish a relationship between basic elements and activity elements; a set of canonical variates with a significant correlation between the two are obtained. The SPSS Multiple Regression tool is then used to observe the correlation between tourist density and street space elements. Store density, D/H, water proximity, commercial overflow, life overflow, and tourist density are found to be significantly correlated.

Suzhou, a Chinese "water town", has undergone an essential transformation in the spatial nature of its riverside area post-urbanization. This research focuses on the spatial characteristics and utilization patterns of the building boundary along the Shantang River in Suzhou through field investigation and correspondence analysis. The constituent elements are determined, and then spatial characteristics are analyzed in terms of space type, river encroachment, and urban connectivity. The relationships between these characteristics and four utilization patterns are discussed. The building boundaries along the river have undergone a fundamental change within the modern era. There are significant relationships between utilization patterns and space type, river encroachment, and urban connectivity. The results presented here can provide workable guidance for effective further development of riverside spaces in Suzhou and beyond.

Using a street in Shanghai as a case study, a strategy was developed to study an urban network space system by analyzing and interpreting street space from the microscopic perspective of urban composition elements. At the methodological level, this study, using research methods related to Space Syntax Theory, explored the process of establishing urban elements, element space, and a spatial network system for these elements. The analysis included the integration degree and its distribution (overall infiltration characteristics), the systematic degree, and an adjustment relationship graph for local typical areas. There are three conclusions drawn from the analysis: From the perspective of elements, the Tianzifang street space is annularly connected in circles on different scales and connected in parallel to form an overall spatial structure. At the global level, the distribution of integration degrees exhibits a dotted infiltration pattern from the street to the interior, with a local core. In terms of local and global correlations, spaces with higher traffic attributes tend to increase local and global integration, and spaces with stronger functional attributes tend to increase the separation of local from whole. The element space and its associated shallow space of buildings approximate the overall synergy degree.

Taking Shanghai Tianzifang as an example, this study attempted to utilize theories, such as the Space Syntax Theory, to build a multivariate model with street spatial characteristics as variables, and investigate the correlation between street spatial characteristics and pedestrian density in commercial blocks using multivariate regression analyses of the variables in this model. This study inspected two aspects of spatial characteristics of street space. First, in terms of commercial use characteristics, this study examined how pedestrian density is affected by three variables: store density, overflow ratio of store-front space. Density of building exits and entrances. Next, in terms of structural characteristics, this study probed the relationship between commercial pedestrian density and three other variables: street integration, height of buildings on both sides of the streets, and the stores' distance from block entrances. Last, a multivariate regression analysis was conducted on the research data of the six variables. The results validated that four of the variables are correlated with commercial pedestrian density, in the order of their degree of influence: street integration, store density, density of building exits and entrances, and height of buildings on both sides of the streets.[GRAPHICS]