Analysis of Passenger Travel Choice Behavior Based on High-speed Railway Ticket Data

被引：0
|
作者：
Wang, Teng-long [1 ]
He, Zhen-huan [1 ]
Nie, Lei [1 ]
Wang, Xiu-cheng [1 ]
机构：
[1] Beijing Jiaotong Univ, Sch Traff & Transportat, Beijing, Peoples R China
来源：
INTERNATIONAL CONFERENCE ON SIMULATION, MODELLING AND MATHEMATICAL STATISTICS (SMMS 2015) | 2015年
基金：
美国国家科学基金会;
关键词：
Passenger travel choice behavior; High-speed railway; Passenger transportation;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
It analyzed the characteristics of passenger travel choice behavior and selected 5 main factors including travel distance, from/to node type, travel time, ticket price and departure time to describe the behavior. Then it constructed a model of effectiveness according to above factors and proposed a corresponding parameter calibration method. Based on ticket data of JG HSR, it got the parameter values of effectiveness for the passengers with different travel distance and in different periods. The parameter fitting was also done in the research and the result showed that the parameters can describe passenger travel choice behavior in a good precise.
引用
收藏
页码：122 / 128
页数：7
相关论文
共 50 条
  • [1] Research on Passenger's Choice Behavior Based on Beijing-Guangzhou High-Speed Railway Ticket Data
    Zou, Yuting
    Nie, Lei
    [J]. ADVANCES IN TRANSPORTATION, PTS 1 AND 2, 2014, 505-506 : 601 - 606
  • [2] Ticket Fare Optimization for China's High-Speed Railway Based on Passenger Choice Behavior
    Zheng, Jinzi
    Liu, Jun
    Clarke, David B.
    [J]. DISCRETE DYNAMICS IN NATURE AND SOCIETY, 2017, 2017
  • [3] A Research on Passenger's Travel Choice Behavior in High-speed Railway Based on Passenger Survey Questionnaire
    Qiu, Ying-hui
    He, Zhen-huan
    [J]. 2018 2ND INTERNATIONAL CONFERENCE ON APPLIED MATHEMATICS, MODELING AND SIMULATION (AMMS 2018), 2018, 305 : 277 - 283
  • [4] High-Speed Railway Transfer Network Ticket Allocation Considering Passenger Travel Time
    Wang, Yichen
    Wang, Zhimei
    [J]. CICTP 2020: ADVANCED TRANSPORTATION TECHNOLOGIES AND DEVELOPMENT-ENHANCING CONNECTIONS, 2020, : 2724 - 2735
  • [5] Prediction Based on Support Vector Machine for Travel Choice of High-Speed Railway Passenger in China
    Kang Shu
    Li Jing
    Liu Mei
    Zhu Xin
    [J]. 2011 INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE AND ENGINEERING - 18TH ANNUAL CONFERENCE PROCEEDINGS, VOLS I AND II, 2011, : 28 - +
  • [6] Travel Mode Choice Behavior for High-Speed Railway Stations Based on Multi-Source Data
    Deng, Yajuan
    Bai, Yu
    Cui, Liangbin
    He, Renjie
    [J]. TRANSPORTATION RESEARCH RECORD, 2023, 2677 (08) : 525 - 540
  • [7] On the Passenger Travel Behavior of High-Speed Railway in China-With Beijing-Shanghai High-Speed Railway Channel as an Example
    Zhou, Yin
    An, Zhong-Wen
    Wang, Huai-Xiang
    [J]. TRANSPORTATION RESEARCH CONGRESS 2017: SUSTAINABLE, SMART, AND RESILIENT TRANSPORTATION, 2019, : 282 - 291
  • [8] HIGH-SPEED RAILWAY BASED ON GENETIC ALGORITHM FOR PREDICTION OF TRAVEL CHOICE
    Long Chen-xu
    Li Jing
    Gao Yue
    [J]. ICEIS 2011: PROCEEDINGS OF THE 13TH INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS, VOL 2, 2011, : 26 - 31
  • [9] High-speed railway passenger flow equilibrium among trains of common lines based on travel behavior analysis under dynamic pricing
    Jin, Fang-Lei
    Tian, Wan-Qi
    Wang, Lin
    [J]. TRANSPORTATION LETTERS-THE INTERNATIONAL JOURNAL OF TRANSPORTATION RESEARCH, 2024, 16 (01): : 27 - 42
  • [10] MODELLING THE PASSENGER CHOICE BEHAVIOUR OF BUYING HIGH-SPEED RAILWAY TICKETS
    Yan, Zhenying
    Jian, Meiying
    Li, Xiaojuan
    Cao, Jinxin
    [J]. PROMET-TRAFFIC & TRANSPORTATION, 2022, 34 (03): : 455 - 465
12345