1 Applicability of Centrality Measures to explain Vehicular flow in Colombo Municipal Council Area, Sri Lanka Chathura Gunawardana Department of Town & Country Planning University of Moratuwa chathurag88@gmail.com, chathura.jms@keells.com Amila Jayasinghe Department of Town & Country Planning, University of Moratuwa, Sri Lanka amilabjayasinghe@gmail.com, amilabj@uom.lk Abstract Traffic congestion has become a major issue for all of the cities in the world. Sri Lanka also incurs 1.5% of GDP due to massive financial and man-hour loss due to traffic congestion. Thus this sets the importance of understanding how development and design of future built environment influence travel demand and traffic flows. Traffic flow modeling enables us to envisage traffic flows in urban areas. But most of the current conventional models require the acquisition and analysis of large quantities of data such as the network topology, its traffic flow data, vehicle fleet composition, emission measurements and so on. Data acquisition is an expensive process that involves household surveys and automatic as well as semiautomatic measurements performed all over the network. Currently Sri Lanka and most of the Developing Countries follows these conventional Traffic Flow models, which identified as expensive affair and inefficient method. Therefore predicting or understanding traffic flow has become an emerging challenge for Sri Lanka in this context. Given this background this study focused on an emerging set of research literature those employed in transport planning applications in developed countries. Those researches have based on network centrality parameters that revealed successful results in measuring traffic flow. Yet, all above studies based on developed countries and there are none or very limited applications with referring to the emerging cities in developing world where such research need the most. Therefore, this study looks at the applicability of centrality measures to access the Traffic flows in Sri Lankan context. Accordingly the objective of this research is to study the applicability of centrality measures to explain vehicular flow in Colombo MC, Area. In this study we employed three centrality measures; (i.) Degree, (ii.) Betweenness and (iii.) Closeness, which is borrowed from the domain of complex network analysis, to calculate the network centrality of Colombo Municipal Council Area (CMC).Centrality values have been computed by axial map which was generated using motorable road network of the CMC. Then it calculated using UCL-Depth map and ArcGIS software applications. Generated Centrality values have been evaluated using actual traffic flow data along the CMC road network. Correlation analysis