Modeling Influencing Factors for Passenger Flow Growth of Modern Trams Using System Dynamics Method

被引:1
|
作者
Ye, Mae [1 ]
Yang, Ninghui [2 ]
Li, Zhibin [3 ]
Ma, Lingling [1 ]
Chen, Yajing [1 ]
机构
[1] Nanjing Univ Sci & Technol, Sch Automat, Dept Traff & Transportat Engn, 200 Xiao Ling Wei, Nanjing 210094, Jiangsu, Peoples R China
[2] Yancheng Inst Technol, Sch Mat & Engn, Yancheng 224051, Jiangsu, Peoples R China
[3] Southeast Univ, Sch Transportat, 2 Si Pai Lou, Nanjing 210096, Jiangsu, Peoples R China
基金
国家重点研发计划; 中国国家自然科学基金;
关键词
PUBLIC TRANSPORT; RAIL TRANSIT; TRAVEL-TIME; SERVICE; INCOME; CHINA;
D O I
10.1155/2019/8475937
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Modern trams have been widely used around the world, especially in China. This paper explores the main influencing factors of modern trams' passenger flow at the early operational stage. The system dynamics model is adopted for dealing with the problem on hand. Tram Line 1 in Huai'an, Jiangsu Province, China is selected as the case study. Data are collected using the RP and SP survey. The sensitivity test and extreme condition test are performed. The simulation results demonstrate that four variables (i.e., land development intensity, fares, service level, and transfer efficiency) significantly affect passenger flow. Land development intensity is the most significant factor, and the effect of service level on passenger flow is higher than that of the fares. The departure interval of 10 minutes is the maximum psychological limit that passengers can bear, and 2 RMB is a reasonable price. Such conclusions can provide guidance for the planning and design of modern trams and address the problem of shortage of passengers at an early stage.
引用
收藏
页数:14
相关论文
共 50 条
  • [21] Understanding US biodiesel industry growth using system dynamics modeling
    Bantz, Steven G.
    Deaton, Michael L.
    2006 IEEE SYSTEMS AND INFORMATION ENGINEERING DESIGN SYMPOSIUM, 2006, : 156 - +
  • [22] SYSTEM DYNAMICS: A BEHAVIORAL MODELING METHOD
    Kunc, Martin
    2016 WINTER SIMULATION CONFERENCE (WSC), 2016, : 53 - 64
  • [23] Analysis method of influencing factors of modern tram operation energy consumption
    Chen Lin
    Wang Dong-ping
    2019 4TH INTERNATIONAL CONFERENCE ON MECHANICAL, CONTROL AND COMPUTER ENGINEERING (ICMCCE 2019), 2019, : 236 - 243
  • [24] Analyzing the productivity of maintenance systems using system dynamics modeling method
    Esmaeili, Esmaeil
    Karimian, Hasan
    Bisheh, Mohammad Najjartabar
    INTERNATIONAL JOURNAL OF SYSTEM ASSURANCE ENGINEERING AND MANAGEMENT, 2019, 10 (02) : 201 - 211
  • [25] Mathematical modeling of cardiovascular system dynamics using a lumped parameter method
    Shim, EB
    Sah, JY
    Youn, CH
    JAPANESE JOURNAL OF PHYSIOLOGY, 2004, 54 (06): : 545 - 553
  • [26] Analyzing the productivity of maintenance systems using system dynamics modeling method
    Esmaeil Esmaeili
    Hasan Karimian
    Mohammad Najjartabar Bisheh
    International Journal of System Assurance Engineering and Management, 2019, 10 : 201 - 211
  • [27] Crowd Density Estimation Method Using Deep Learning for Passenger Flow Detection System in Exhibition Center
    Xiang, Jun
    Liu, Na
    SCIENTIFIC PROGRAMMING, 2022, 2022
  • [28] Passenger Flow Prediction Based on a Hybrid Method in the Nanjing Metro System
    Feng, Jiaxiao
    Chang, Xiangyu
    Tu, Qiang
    Li, Zimu
    Zhou, Leyu
    Cai, Xiaoyu
    JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS, 2025, 151 (05)
  • [29] Passenger Flow Simulation of Airport Terminal Subway Station Based on System Dynamics
    Chen, Wei
    Ai, Yi
    SYSTEMS, 2025, 13 (02):
  • [30] Rail transit station passenger flow evolution algorithm based on system dynamics
    Xue, Fei
    Fang, Wei-Ning
    Guo, Bei-Yuan
    Tiedao Xuebao/Journal of the China Railway Society, 2014, 36 (02): : 1 - 10