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Research On Evacuation Effect Of Departure Passenger Flow Based On Big Data At Integrated Passenger Transport Hub

Posted on:2022-07-12Degree:MasterType:Thesis
Country:ChinaCandidate:Y WangFull Text:PDF
GTID:2492306566971409Subject:Master of Engineering
Abstract/Summary:PDF Full Text Request
With the popularity of high-speed rail travel in travel demands such as tourism,study and business,as well as the concept of "Station City Integration" and "TOD mode" are gradually popularized in hub planning,design and construction.As an important node in the urban transportation network,the integrated passenger transport hub with railway as the core gathers a large number of passenger flows from subway,bus,taxi,coach and other transportation modes.The evacuation effect of passenger flow directly affects the operation efficiency and service level of the whole hub,and then indirectly affects the operation of urban transportation.On the basis of the existing research results,aiming at the lack of quantitative research on departure passenger flow evacuation effect evaluation of integrated passenger transport hub,this paper carries out modeling analysis and evaluation research on departure passenger flow evacuation effect of the hub,and puts forward an evaluation model of departure passenger flow evacuation effect of integrated passenger transport hub based on big data,which provides effective support for scientific quantitative evaluation of departure passenger flow evacuation effect of integrated passenger transport hub.Based on the analysis of the current research status at home and abroad,this paper conducts the following research on the the quantitative evaluation of departure passenger flow evacuation effect of integrated passenger transport hub.First of all,the process of departure passenger flow evacuation in the integrated passenger transport hub is analyzed,and the hub direct evacuation function area and indirect evacuation function area are divided.Based on the evacuation mode,the direct evacuation function area is divided into subway,bus,taxi and coach evacuation function area,and the combined layout mode and evacuation function characteristics are analyzed.Secondly,the passenger flow data acquisition system which is based on the WIFI probe,introduces the principle of passenger flow data acquisition and proposes passenger data collection index and data processing algorithm.The data preprocessing methods such as abnormal MAC address,redundant terminal equipment,fixed terminal equipment and Wi Fi probe positioning and position correction are proposed,and the missing and abnormal data and data desensitization processing methods are proposed.Thirdly,according to the different evacuation modes in direct evacuation zone,the evaluation index system of departure passenger flow evacuation effect is constructed.Combined with the collected passenger flow data,based on k-means clustering algorithm to divide the evacuation state interval of passenger flow evacuation effect,put forward a departure passenger flow evacuation effect evaluation model based on AHP and EWM to calculate the two-level index weights.Finally,take the Chongqingbei railway station as an example,collect passenger flow data of the North Square,apply the departure passenger flow evacuation effect evaluation model,study the passenger flow evacuation effect under the condition of large passenger flow,and analyze the passenger flow characteristics of the North Square on working days,non working days and holidays.Based on the analysis results,put forward some suggestions to improve the passenger flow evacuation of the North Square.The results show that,based on the passenger flow data,the evaluation model of departure passenger flow evacuation effect of integrated passenger transport hub is established,which is helpful to solve the problem of lack of quantitative evaluation in the process of passenger flow evacuation of integrated passenger transport hub.Taking chongqingbei railway station as an example,the paper verifies the evaluation model of departure passenger flow evacuation effect of integrated passenger transport hub,makes quantitative evaluation of passenger flow evacuation effect,analyzes the passenger flow characteristics of North Square,and puts forward suggestions for improving passenger flow evacuation of North Square,so as to carry out safe operation management and provide quantitative capacity scheduling support for the management department of the hub.
Keywords/Search Tags:integrated passenger transport hub, passenger flow data, passenger flow evacuation, evaluation index, effect evaluation
PDF Full Text Request
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