Analysis Of Transfer Behaviour And Research On Transfer Facility Configuration In High-speed Railway Passenger Transport Hub

High-speed rail passenger hub, the core component of high-speed railway system,is an important node in comprehensive passenger transport network. designers andadministration of the high-speed rail passenger hubs are facing up with the problem thathow to guide passengers to complete the transfer efficiently through scientific andeffective transfer facilities configurations. However，due to the fact that high-speedrailway system is newly introduced to China and there is a lack of experience inplanning, design and management in high-speed rail passenger hub and relativetheoretical research，it is difficult to guide the construction of high-speed rail passengerhub in China effectively. In view of the contradiction mentioned above and based on the"eleven five" national technology support project—"Urban comprehensivetransportation system planning and evaluation of key technology research" this researchis aimed at reducing transfer delay in the high-speed rail passenger hub and improvingthe level of transfer facilities configurations. To realize the purpose above, passengers’transfer behaviors in the high-speed rail passenger hub are systematically analyzed,quantitative analysis technologies for passengers transfer delay are detailed studied andconfiguration of transfer facilities in the high-speed rail passenger hub is proposed.Thus, theoretical value and practical significance in planning, design, construction andevaluation of configurations for China’s high-speed rail passenger hub are provided..The high-speed rail passenger hub transfer facilities are reviewed and on the basisof the diversities of passengers’ transfer behaviors in the high-speed rail passenger hubthe measurement index system for passengers’ transfer behavior is established; dataacquisition scheme is developed and data of the characteristics of passengers’ walkingbehaviors, facilities selection behaviors, queuing and waiting behaviors are collected inBeijing South Railway Station and Harbin West Railway Station.Through statistical analysis, the expected walking speed in the high-speed railpassenger hub passenger is established; linear model for density and average walkingspeed for passengers in the stairs and one-way transfer channels is established thus thecongestion delay calculation formula of passengers checking in the transfer channel isderived; by analyzing the shortcomings of existing social force model, a walkingbehavior model for transfer passengers in the high-speed rail passenger hub isestablished based on the improved social force model and a corresponding simulationplatform is built to verify the applicability of the formula; last but not the least,influencing factors of transfer intersecting delay are analyzed and the nonlinear fittingintersection delay model is established by using the simulation data.The effects of passengers’ luggage, gender, age, staircase entrance queue numberand the height of the stairs on passengers’ choice behavior of choosing stairs or escalators are quantitative analyzed and the probability model for passengers’ choice ofescalators is established. And by means of numerical simulation, the mechanism ofproduction of transfer delay at the junction of stairs and escalators is expounded.Regular patterns of arriving and characteristics of service time for passengers in thequeuing system of high-speed rail passenger hub are analyzed. In the queuing systemfor tickets and the security, passengers’ arrival can be regarded as a Poisson processwhere the arrival rate keeps changing and the service time is subject to negativeexponential distribution; in a queuing system for checking out, the relation between thenumber of outbound passengers and the time that all the outbound passengers use toarrive at the ticket exit is logarithmic; the relation between the number of passengersand the standard deviation of passengers’arrival time is linear and the time for checkingout obey negative exponential distribution. By using multipath waiting queuing modelwhere arrival rate and service rate may change with time, the queuing behaviors ofpassengers are depicted and a recursive method to calculate the passengers’ queuingdelay is present.The waiting time for passengers who bought tickets in advance is fit by logarithmicnormal distribution and a BP neural network model to predict waiting delay ofpassengers who bought tickets in advance is established on the basis of screeningsignificant influencing factors of passengers waiting time. Flow of passengers arrivingat urban transit transfer point inside the city is regarded as the congregation of passengerflows which obey normal distribution and a calculation model of passengers’ averagewaiting time considering the capacity limit of transfer vehicles is founded. Andinfluences of vehicles’ arrival interval, number of transferring passengers, vehiclecapacity and punctuality rate on passengers’ waiting delay are analyzed throughnumerical simulation.Concept of transfer delay degree is defined and transfer delay evaluation data isobtained by research method based on passengers’ transfer―experience–response‖.The division standard of degree of travel delay is given using continuous classificationevaluation method and the passengers’ transfer time is regarded as the classificationindex.Connotation of transfer facilities configurations is clarified from four aspectsincluding the concept, the content, basic principles and procedures of transfer facilitiesconfigurations. Method to determine the scale of walking facilities, service facilities andwaiting facility is given by taking advantage of the transfer time analysis methodscombined with the classification standard of the transfer time degree. For the purpose ofminimizing the average expected walking time, the average crossed delay of passengersand the cost of high-speed rail project, a three-dimensional layout optimization modelfor passengers’ transfer facilities is constructed considering three aspects of restraintthat is area, shape and location of the high-speed rail passenger hub and the model is solved by genetic the improved algorithm and the organization of operation ofpassengers’ transfer facilities is discussed from the match of transport capacity and thecoordination of scheduling.Research on passengers’ transfer delay in the high-speed rail passenger hub is thebreakthrough point and the practicability of the theory is emphasized. There existsinnovation in several aspects such as the construction of the research framework，thedefinition of the concept, analysis method and the construction of the model, thusproviding a new way for the study of transfer facilities in high-speed railway passengerhub.