A New Urban Space Analysis Method Based on Space Syntax and Geographic Information System Using Multisource Data

Abstract

With large-scale urban demolition, the spatial pattern of the urban area in many cities has been destroyed, leading to the loss of urban regional identity; therefore, these urban spaces need to be urgently studied and protected. Previous studies on the spatial pattern of urban areas focused on spatial morphology or urban texture. However, due to difficulties in obtaining field survey data, such studies cannot comprehensively analyze the space; thus, the proposed conservation strategies are also more one-sided. In order to study the urban space more scientifically and systematically, and to propose a more operable spatial conservation strategy, this paper conducts a new urban space analysis method based on space syntax and the geographic information system using multisource data. With the help of software such as Depthmap and ArcGIS, as well as theories and methods such as space syntax and regression analysis, this article conducted a visual and quantitative analysis of the spatial information data such as integration of urban road networks, building height, architectural style, points of interest, number of lanes, and maximum road speed. Taking the old city of Wuxi as an example, the method’s feasibility was verified. The regression model analysis revealed that, when the integration of the area was higher, the buildings distributed around were multilane, fast lane, modern buildings, taller buildings, commercial buildings, and vice versa, which gives a scientific basis for the proposed strategy of creating regional characteristics of urban space. This new analysis method of urban space is of great significance for the study of urban problems, the exploration of urban characteristics, and the proposal of urban strategies.