EXPLAINING TRAFFIC FLOW PATTERNS USING CENTRALITY MEASURES
Amila Buddhika Jayasinghe, Kazushi Sano, Hiroaki Nishiuchi · International Journal for Traffic and Transport Engineering · 2015
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.