Research On Service Scope Identification And Connection Scheme Optimization Of Urban Rail Stations

As the backbone of the public transportation system,rail transit is an important means to relieve urban traffic congestion.It undertakes the task of urban transportation backbone and long-distance transportation and is a key link to ensure the efficient operation of the urban road network.However,due to the fixed nature of stations and low-density line layout,urban rail transit cannot provide door-to-door service for passengers directly.Therefore,the development of rail transportation needs to improve the efficiency of the "rail-transit-slow travel" integrated travel service system from the supply side.Accurate identification of the service area of rail transit stations is a key step in the optimization of the rail transit station connection scheme,which helps to connect rail transit with different modes of transportation,promote the integration of public transportation,improve the proportion of public transportation and the convenience of residents’ travel,thus alleviating urban traffic congestion and improving the efficiency of urban travel.Firstly,based on the "node-place" model and dual attributes,a composite analysis method of principal component analysis and hierarchical cluster analysis was proposed to analyze the node indexes and place indexes of each station of Nanning rail station line 5separately and to obtain the node and place principal components and principal component scores to calculate the node and place values of the station.The node and place values of the stations were analyzed from the quantitative perspective by using the hierarchical clustering method,and the classification results of rail stations based on the attributes of "node and place" were finally obtained.Secondly,by analyzing the selection behavior of the whole process of rail transportation travel,a rail transportation travel mode chain was constructed,and the possible paths of different transportation mode combinations under the mode chain were proposed.The travel time value concept is introduced to quantify the generalized travel cost,and a service scope analysis model based on the generalized travel cost of the travel chain is constructed with the objective of minimizing the generalized travel cost of passengers.In addition,from the perspective of travel chain,the results of service scope identification of rail stations are combined with the positioning study of different feeder modes and feeder demand analysis to explore the weak areas of feeder capacity around rail stations from both overall and individual levels and propose strategies for feeder optimization of rail stations.Finally,with the help of big data analysis techniques and the introduction of "path planning" data from the open platform of electronic map,the advantages of different feeder modes within the service area of rail stations are analyzed and identified by identifying and visualizing the service areas of different feeder modes at different types of stations,so as to propose corresponding feeder optimization strategies for rail stations.Optimization strategies are proposed.According to the service range identification method of rail stations based on travel chain,the service ranges of different feeder modes in the stations of Nanning Railway Line5,such as Beihunanlu Station,Guangxi University Station,Jiangnan Park Station,and Jinqiao Passenger Terminal,are identified respectively,and the comparison with the spatial distribution of station passenger flow data shows that the service range identification method proposed in this paper is effective,and the weak areas of different feeder modes around the stations are unearthed based on the comparison.The weak areas of different feeder modes around the stations are identified and the feeder optimization strategy is proposed,which provides good theoretical support for the integration of "rail-transit-slow travel".