Assessing the visualization of space and traffic volume using GIS-based processing and visibility parameters of space syntax

Abstract

Streets and physical layouts can be inherent in a sustainable city by emphasizing the use of space with planned strategies by promoting the movement of people and social behaviors for enhancing an economic structure. An analysis of the space layout is beneficial for defining the urban areas that can affect street behavior. A GIS incorporated with a space syntax can help to propagate the effectiveness of a spatial analysis in a study on urban spaces. The integration of the computational pieces of both a GIS analytical tool and space syntax parameters will stimulate research oriented urban systems and spatial morphologies combined with a spatial database. However, the development of livability can be affected by a set of parameters that define the used space. Thus, this paper was aimed at examining the space syntax parameters for space visualization to evaluate street behavior using the GIS processing and space syntax methods. In this study, a spatial analysis was used to generate spatial information on traffic volume, while a space syntax was used to test the street behavior. Also, a predictive analysis was conducted to identify the correlation between traffic behavior and a set of parameters. The results showed that integration and direct visibility were significant to the traffic volume. Most of the streets that were linked to the commercial area showed high integration and direct visibility, which increased by more than half, compared with the unlinked areas. Based on the statistical analysis, both parameters recorded aprobability of less than 5%. The results showed that any space designed with a continuous, direct and clear traffic volume will lead to increased integration and direct visibility, thus influencing a natural vehicle movement.

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