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Public Transit Hubs Identification Based on Complex Networks Theory

ABSTRACT Hubs identification is important for the stability and attack tolerance of complex networks. This paper focuses on public transit hubs identification, and it is useful for the optimization, design, and evaluation of public transit systems. Three public transit hubs identification methods are proposed in this paper. The first one is based on comprehensive effects of stations on the distance and the transfer, and the second one is based on preferences of passengers Transfer – Shortest Path, and the third one is based on preferences of passengers Shortest Path – Transfer. Three employed methods are applied in the Shenyang (the capital of Liaoning province of China) bus transit system, and experimental results show that they are available and especially feasible for finding those potential nodes who play key roles in the network but are not commonly regarded as important nodes in practice, and it is beneficial for traffic policy making.