考虑多方式接驳的铁路客运枢纽诱导标识布设优化

Layout optimization of Guiding Signs for Railway Passenger Transport Hub Considering Multi-Mode Connection

铁路客运枢纽是对外交通与城市交通的客流转换节点,客流诱导标识的布设情况,将影响客运枢纽的客流转换的效率。建立迷路程度评价体系,引入迷路指数的概念,用于量化节点的客流诱导能力;将多方式的客流接驳考虑其中,建立客运枢纽诱导标识布设优化模型,并以哈尔滨站北广场为研究对象,针对其建成初期的客流疏导问题,进行标识布设优化,并以lingo工具对模型进行求解。研究得出,节点17、19、24、25、2为迷路指数最高的5个点;公交车、出租车以及社会车辆的客流引导布设节点个数分别在8、8、7后信息诱导量均值斜率变化幅度趋于平稳,为最优布设个数;公交车客流引导布设节点分别为1、2、3、11、17、19、20、25,出租车的分别为1、2,3、5,7、17、19、24,社会车辆的分别为1、2、8、17、19、24、25。

Railway passenger transport hub is the passenger flow conversion node between external traffic and urban traffic.The layout of passenger flow guidance signs will affect the efficiency of passenger flow conversion of passenger transport hub.The evaluation system of the degree of getting lost was established,and the concept of getting lost index was introduced to quantify the passenger flow inducing ability of nodes.Considering the multi-mode passenger flow connection,an optimization model for the layout of guiding signs of passenger transport hub is established.Taking North Square of Harbin Station as the research object,sign layout optimization is carried out according to the passenger flow routing problem in the early stage of its completion,and the model is solved with LINGO tool Solution.The results show that nodes 17,19,24,25 and 2 are the five points with the highest labyrinth index.The number of nodes deployed under passenger flow guidance of buses,taxis and social vehicles tends to be stable after 8,8 and 7,respectively,which is the optimal number of nodes deployed.The nodes of bus passenger flow guidance are 1,2,3,11,17,19,20,25,1,2,3,5,7,17,19,24 for taxis,and 1,2,8,17,19,24 for social vehicles.