基于人与环境交互作用的交通枢纽导向标识布局评估

为优化轨道交通枢纽的导向标识布局,提升运营效率与服务水平,分析了人与空间环境交互作用下旅客寻路行为与导向标识的交互特性,在此基础上,利用元胞自动机建模思想,构建了旅客寻路行为仿真模型,建立了标识布局评估指标体系,通过输入客流、设施设备等参数,应用GSign系统分析了标识引导下旅客寻路效果,提出了动态仿真定量评估方法.通过北京南站典型场景仿真试验进行了实证研究,结果表明:对典型进站、出站及换乘流线的标识优化后,旅客平均走行速度分别提高了4.0%、3.2%和13.3%;仿真模型输出结果与实际结果的平均相对误差约为7%. 

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%.