Evaluation of Guide Sign Layout in Rail Transit Hubs Based on Human Environment Interaction

In order to optimize the guide sign layout of rail transit hubs and improve their operation efficiency and service level, a simulation model of passenger way-finding behavior was established using the cellular automat based on the interactive features between passenger way-finding behaviors and guide signs, and an evaluation index system of guide sign layout was developed. Then, a quantitative evaluation method on the basis of the dynamic simulation model was proposed, in which the passenger way-finding effect is analyzed using the GSign system by inputting such parameters as passenger flow, facilities and equipment. Finally, a case study was conducted for some typical scenarios of Beijing South Station. The results show that passengers' average walking speeds in typical inflow route, outflow route and transfer route are respectively increased by 4.0%, 3.2% and 13.3% by optimizing their guide signs, and the average relative error between simulating results and actual results is about 7%.