Abstract
ABSTRACTTaking 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.
Highlights
Besides street integration, this study includes five other variables and tries to build a multivariate model to investigate the relationship between street spatial characteristics and pedestrian density, including store density, height of buildings on both sides of the streets, density of building exits and entrances, overflow ratio of alleyways occupied, and the stores’ distance from block entrances
We present the quantification of the influence of structural characteristics of a neighborhood space on the distribution of pedestrian density using three variables: street integration, which is a structural characteristic of the invisible planar topological relationship of streets; the height and width of streets, which are scale features that are relatively intuitive to the human cognition; and the impact of city arteries connected to Tianzifang on its pedestrian density through mainly the influence of primary and secondary block exits and entrances
The results show that there is no significant correlation between pedestrian density and the overflow ratio of store-front space or between pedestrian density and the distance from block entrances
Summary
Compared to large-scale urban commercial complexes, traditional commercial blocks in a city center attract enormous crowds because of their own numerous features. This study separated the characteristics of a symbiotic old and new street space into two: commercial use, as represented by three variables, namely, store density, overflow ratio of store-front space, and density of building exits and entrances; and structural, as represented by another three variables, namely, height of buildings on both sides of the streets, street integration, and the stores’ distance from block entrances. New commercial features are ever-changing, the structural characteristics of street space, similar to genes, are relatively stable. Quantitatively each variable, and conducted a multivariate regression analysis of the quantified variables to explore patterns and relationships between the street spatial characteristics of lilong blocks and commercial pedestrian density. This study hopes to provide insights regarding the future development of similar open commercial blocks
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