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Article

EXPLAINING TRAFFIC FLOW PATTERNS USING CENTRALITY MEASURES

DOI: 10.7708/ijtte.2015.5(2).05


5 / 2 / 134-149 Pages

Author(s)

Amila Jayasinghe - Urban Transport Engineering and Planning Lab, Department of Civil and Environmental Engineering, Environment Systems Engineering, Graduate School of Engineering - Doctoral Program, Nagaoka University of Technology, Nagaoka, 940-2137, Japan -

Kazushi Sano - Urban Transport Engineering and Planning Lab, Department of Civil and Environmental Engineering, Environment Systems Engineering, Graduate School of Engineering - Doctoral Program, Nagaoka University of Technology, Nagaoka, 940-2137, Japan -

Hiroaki Nishiuchi - Urban Transport Engineering and Planning Lab, Department of Civil and Environmental Engineering, Environment Systems Engineering, Graduate School of Engineering - Doctoral Program, Nagaoka University of Technology, Nagaoka, 940-2137, Japan -


Abstract

This study examines the capability of centrality parameters of the road network to explain and predict traffic flow by types of vehicles. The case study was conducted in Colombo Metropolitan Area, Sri Lanka. Study used four centrality parameters i.e. connectivity, global integration, local integration and choice; and three analysis methods i.e. topological, metric and angular which introduced by space syntax analysis method to compute network centrality of the road network. Findings of this study stress that, (1) human beings perceive the space mostly from geometrical distance (topological and angular distance) in comparison to metric distance. Further to this, it was found that angular distance is more powerful in global level whereas topological distance is more powerful in local level; (2) it is more appropriate to consider the multiple influences from multiple centrality parameters rather being confined to a single best parameter and influence of each parameter varies based on type of vehicles.


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Keywords:
traffic volume by type of vehicles; network centrality; space syntax;


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