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Street-based topological representations and analyses for predicting traffic flow in GIS

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It is well received in the space syntax community that traffic flow is significantly correlated to a morphological property of streets, which are represented by axial lines, forming a so called axial map. The correlation co-efficient (R 2) approaches 0.8 and even a higher value according to the space syntax literature. In this paper, we study the same issue using the Hong Kong street network and the Hong Kong Annual Average Daily Traffic datasets, and find surprisingly that street-based topological representations (or street-street topologies) tend to be better representations than the axial map. In other words, vehicle flow is correlated to a morphological property of streets better than that of axial lines. Based on the finding, we suggest the street-based topological representations as an alternative GIS representation, and the topological analyses as a new analytical means for geographic knowledge discovery.
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Keywords: GIS; Space syntax; Street-based topological representation; Topological analysis; Traffic flow

Document Type: Research Article

Affiliations: 1: Division of Geomatics, Department of Technology and Built Environment, University of Gavle, SE-801 76 Gavle, Sweden 2: Ningbo Electric Power Bureau, China, Zhejiang

Publication date: 2009-09-01

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