Cities in developing countries have recently witnessed a rapid economic growth and urban sprawl, which is resulting in an accelerated increase of vehicular movements in urban areas. This situation raises the immediate necessity of an effective public transport (PT) system in developing countries. However, while some cities have managed to shift a significant number of car journeys onto rail and buses, many are struggling despite the considerable effort to make PT systems more attractive [1]. In formulating strategies to develop PT systems, passenger attraction to the PT system has often taken a back seat; perhaps due to the lack of adequately robust methods and data availability. Thus there is a need to develop alternative methods of evaluate the passenger attraction to PT systems; methods that can be relied upon in the face of data, cost and technical know-how constraints experienced by many agencies in developing countries. In such a background, this study attempts to explore the potential of ‘Network Centrality Analysis’ as an alternative method to estimate transit volume in PT stations. The work of Hillier et al. on ‘Space Syntax’ has provided the initial development of the centrality analysis about road networks [2]. The analysis of centrality of transits networks, in order to capture accessibility and explain the passenger demand in cities, has received increasing attention in recent years [2],[3],[4],[5].