International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Volume XLII-3/W10
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3/W10, 159–165, 2020
https://doi.org/10.5194/isprs-archives-XLII-3-W10-159-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3/W10, 159–165, 2020
https://doi.org/10.5194/isprs-archives-XLII-3-W10-159-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

  07 Feb 2020

07 Feb 2020

ANALYSIS OF ACCESSIBILITY OF URBAN ROADS BASED ON SPACE SYNTAX AND DISTANCE MEASUREMENT

Z. G. Pan1,2, G. W. Lan1,2, D. L. Fan1,2, Y. L. Du1,2, and Y. Zeng1,2 Z. G. Pan et al.
  • 1Guangxi Key Laboratory of Spatial Information and Geomatics, Guilin University of Technology, Jiangan Road, Guilin, China
  • 2College of Geomatics and Geoinformation, Guilin University of Technology, Jiangan Road, Guilin, China

Keywords: Space Syntax, Accessibility Analysis, Axis Line, Distance Measurement Method

Abstract. Space syntax and distance measurement are significant theoretical methods for studying road accessibility. Space syntax deals with the topological relationship between road networks, but the length of the road is ignored. While distance measurement method only takes into account the factors such as distance, time, and economic costs when studying road accessibility. Both of them are defective in evaluating the accessibility of transportation networks, and there are a few of researches that consider the interaction between road axes lines. In this paper a method for traffic network accessibility evaluation is proposed by combining the space syntax theory and the distance measurement method, and considering the influence of the interaction between road axes lines at the same time. The method is successfully applied for evaluating the traffic network accessibility of Nanning in Guangxi. The research shows that: (1) the results of the analysis are compared horizontally with traffic conditions at different times in Nanning City, and the experimental results are nearly in line with the actual road conditions. (2) The areas with high road density are Liangfeng District, Qingxiu District and Xixiangtang District. (3) Nanning City's road network center is located at the intersection of Xixiangtang District, Xingning District, Qingxiu District and Jiangnan District; its traffic network distribution is the densest and the overall level of urban road accessibility is higher. This study provides a theoretical basis for the development of Nanning's transportation network and has the reference significance for further optimizing the transportation planning in Nanning.