RETRACTED: Analysis of Passenger Flow Characteristics of Urban Rail Transit Based on Spatial Data Dynamic Analysis Technology (Retracted Article)

被引:0
|
作者
Zhang, Yan [1 ]
Li, Ningchuan [1 ]
机构
[1] Chengdu Vocational& Tech Coll Ind, Sch Rail Transit, Chengdu 610218, Peoples R China
关键词
NETWORK;
D O I
10.1155/2022/1601169
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Based on spatial data dynamic analysis technology, the characteristics of urban rail transit passenger flow are analyzed. This study analyzes the passenger flow characteristics of urban rail transit from the perspective of operation and planning by using the dynamic analysis technology of spatial data, combined with social and economic development. Based on the analysis of research data from the study of passenger traffic and passenger traffic data measurement, the characteristics of passenger traffic from urban railways are derived from the time distribution, spatial distribution, and transfer of passengers waiting on the platform. The final length of line 3 is 39.7 m, the passenger volume is 102, with 11 people/day, the passenger flow density is 1.8/2.3, and the high section in peak hours is 2.4/3.2. By considering the various influencing factors, efforts should be made to develop urban rail transit projects to promote the growth of social and economic benefits.
引用
收藏
页数:9
相关论文
共 50 条
  • [1] RETRACTED: Evaluation of Social and Economic Benefit of Urban Rail Transit Project Based on Spatial Econometric Model (Retracted Article)
    Zhang, Sanbao
    [J]. WIRELESS COMMUNICATIONS & MOBILE COMPUTING, 2022, 2022
  • [2] Big Data Analysis of Beijing Urban Rail Transit Fares Based on Passenger Flow
    Gao, Honghu
    Liu, Shifeng
    Cao, Guangmei
    Zhao, Pengfei
    Zhang, Jianhai
    Zhang, Peng
    [J]. IEEE ACCESS, 2020, 8 : 80049 - 80062
  • [3] Analysis Method for Passenger Flow Characteristics of Urban Rail Transit under Emergent Events Based on AFC Data
    Li, Chen
    Chen, Yanyan
    Wang, Bo
    Bai, Yunyun
    Huang, Jianling
    [J]. CICTP 2019: TRANSPORTATION IN CHINA-CONNECTING THE WORLD, 2019, : 2051 - 2063
  • [4] Spatial characteristics of land use based on POI and urban rail transit passenger flow
    Peng, Shiyao
    Chen, Shaokuan
    Xu, Qi
    Niu, Jiaqi
    [J]. Dili Xuebao/Acta Geographica Sinica, 2021, 76 (02): : 459 - 470
  • [5] Prediction of Passenger Flow in Urban Rail Transit Based on Big Data Analysis and Deep Learning
    Zhu, Kaer
    Xun, Ping
    Li, Wei
    Li, Zhen
    Zhou, Ruochong
    [J]. IEEE ACCESS, 2019, 7 : 142272 - 142279
  • [6] RETRACTED: Analysis and Research of Psychological Education Based on Data Mining Technology (Retracted Article)
    Sang, Haiyun
    [J]. SECURITY AND COMMUNICATION NETWORKS, 2021, 2021
  • [7] RETRACTED: Intelligent Analysis of Logistics Information Based on Network Dynamic Data (Retracted Article)
    Yan, Honglin
    [J]. JOURNAL OF CONTROL SCIENCE AND ENGINEERING, 2022, 2022
  • [8] RETRACTED: Quantitative Analysis of Impact of External Cost on Urban Passenger Transport Structure (Retracted Article)
    Li Zhibin
    Wang Wei
    Hua Xuedong
    Yang Chen
    Zou Yaotian
    [J]. 2ND IEEE INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER CONTROL (ICACC 2010), VOL. 2, 2010, : 325 - 329
  • [9] Research and Analysis of Passenger Flow Constraints in Urban Rail Transit
    Teng, Ziyuan
    Wang, Chao
    [J]. PROCEEDINGS OF THE 2018 INTERNATIONAL SYMPOSIUM ON SOCIAL SCIENCE AND MANAGEMENT INNOVATION (SSMI 2018), 2018, 68 : 136 - 143
  • [10] Passenger Flow Estimation of Urban Rail Transit Section Based on Cluster Analysis
    Ren, Gang
    Zhu, Xing
    Cao, Qi
    [J]. CICTP 2020: ADVANCED TRANSPORTATION TECHNOLOGIES AND DEVELOPMENT-ENHANCING CONNECTIONS, 2020, : 110 - 121