Travel Chain Construction Method And Travel Characteristics Study Of High-speed Railway Complex Users

High-speed railway complex is a transportation complex with high-speed railway(or intercity railway,urban railway,etc.)as the main mode of external transportation.Its function is not only limited to multi-mode transportation transformation,but also to realize the integration of business,leisure,and other urban functional space.However,there has been a poor connection of high-speed railway complex with urban traffic,and the users’ needs for travel and activity cannot be guaranteed,making it difficult to well stimulate the correlation effect of high-speed railway complex and the city.In order to solve this problem,it is necessary to accurately grasp the travel characteristics of the users of the high-speed railway complex.Previous studies mainly used questionnaire survey,which were often limited by sample size.The rise of big data technology makes it possible to use mobile signaling data to refine the travel characteristics of high-speed railway complex users.This paper divides the users of high-speed railway complex into three categories: users transferring to high-speed railway,users whose destination is high-speed railway complex,and users completing urban transfer in the high-speed railway complex.Taking these three types of users of the high-speed railway complex as the research object,this paper aims to extract the users’ travel chain based on the mobile signaling data,analyze the travel characteristics of different types of users,find the existing problems combined with the current situation of traffic network,and then put forward an optimization strategy under the background of "station-city integration".In this paper,a proper classification index system is constructed to quantitatively classify high-speed railway complex using k-means clustering.High-speed railway complex is thus divided into three categories: hub type,center type and general type.The overall characteristics of each type are analyzed from the two aspects of user demand and connection mode,in order to guide the travel chain construction and optimization strategy.Subsequently,the basic situation and advantages of mobile signaling data are analyzed,and the method of identifying users of high-speed rail complex based on mobile signaling data is put forward.Then,the method for constructing the travel chain of different types of travel users of high-speed rail complex is proposed.After that,the extracted travel chain is used to study the travel characteristics of users from the aspects of overall,space,time,and connection.The whole paper takes Nanjing South Railway Station for instance to verify the feasibility of the proposed method,summarizing the main problems of Nanjing South Railway Station,and proposing the optimization strategy.The research results of this paper can provide a method for obtaining the travel characteristics of users of high-speed railway complex,and provide reference and policy support for accurately grasping the diversified travel needs of users and improving the efficiency of high-speed railway complex under the background of "station-city integration".