Cluster and characteristic analysis of Shanghai metro stations based on metro card and land-use data

被引:12
|
作者
Shen, Ping [1 ]
Ouyang, Linxin [2 ]
Wang, Chong [3 ]
Shi, Yin [4 ]
Su, Yiheng [1 ]
机构
[1] Guangzhou Urban Planning & Design Survey Res Inst, Guangzhou, Peoples R China
[2] Shanghai Tongji Urban Planning & Design Inst Co L, Shanghai, Peoples R China
[3] Tongji Architectural Design Grp Co Ltd, Shanghai, Peoples R China
[4] Shanghai Urban Planning & Design Res Inst, Shanghai, Peoples R China
关键词
Metro stations; travel behavior pattern; metro card data; land use;
D O I
10.1080/10095020.2020.1846463
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
Metro is an important form of public transport in Shanghai. Based on the metro card data, we conduct the cluster analysis of Shanghai metro stations according to the pattern of passenger flow changing with time. Then the characteristics of travel time and surrounding land use are investigated for different types of stations to explore the relationship between urban land-use characteristics and travel activities reflected by passenger flow at metro stations. It is found that the passenger flow pattern of metro stations is closely related to the location conditions of stations and its surrounding land-use patterns. Based on various characteristics, 285 metro stations are classified into four types, including residential-oriented stations, employment-oriented stations, employment-residence-oriented stations, and integrated functional-oriented stations, reflecting the interaction between spontaneous travel behavior and urban land-use characteristics and providing a reference for optimizing the urban functional structure and the spatial allocation of facilities.
引用
收藏
页码:352 / 361
页数:10
相关论文
共 50 条
  • [1] The temporal distribution of ridership in metro stations from land-use perspective
    Dai, Shian
    Yu, Liqiang
    Song, Lang
    Li, Ying
    Fan, Xuze
    [J]. PLOS ONE, 2024, 19 (09):
  • [2] A metro smart card data-based analysis of group travel behaviour in Shanghai, China
    Zhang, Yongping
    Manley, Ed
    Martens, Karel
    Batty, Michael
    [J]. JOURNAL OF TRANSPORT GEOGRAPHY, 2024, 114
  • [3] The Analysis of Space Use around Shanghai Metro Stations Using Dynamic Data from Mobile Applications
    Ye, Zhongnan
    Chen, Yihui
    Zhang, Li
    [J]. WORLD CONFERENCE ON TRANSPORT RESEARCH - WCTR 2016, 2017, 25 : 3151 - 3164
  • [4] Site selection model for new metro stations based on land use
    Zhang, Nan
    Chen, Xuewu
    [J]. SIXTH INTERNATIONAL CONFERENCE ON ELECTRONICS AND INFORMATION ENGINEERING, 2015, 9794
  • [5] Evolution and prediction of land use around metro stations
    Fu, Fei
    Jia, Xia
    Wu, Dan
    Zhao, Qiuji
    Fang, Han
    Lin, Liwei
    Aye, Lu
    [J]. FRONTIERS IN ENVIRONMENTAL SCIENCE, 2023, 11
  • [6] Concordance between Regional Functions and Mobility Features Using Bike-sharing and Land-use Data near Metro Stations
    Liu, Siyang
    Zhou, Chenjing
    Rong, Jian
    Bian, Yang
    Wang, Yi
    [J]. SUSTAINABLE CITIES AND SOCIETY, 2022, 84
  • [7] OD Matching of Metro IC Card Data Based on Analysis Function
    Ding, Cheng
    Wang, Cheng
    Wang, Xinyi
    Gao, Yueer
    Liao, Yongxin
    Chen, Jianwei
    [J]. MATHEMATICAL PROBLEMS IN ENGINEERING, 2021, 2021
  • [8] Impact of a New Metro Line: Analysis of Metro Passenger Flow and Travel Time Based on Smart Card Data
    Fu, Xiao
    Gu, Yu
    [J]. JOURNAL OF ADVANCED TRANSPORTATION, 2018,
  • [9] Passenger Flow Prediction Based on Land Use around Metro Stations: A Case Study
    Lin, Ciyun
    Wang, Kang
    Wu, Dayong
    Gong, Bowen
    [J]. SUSTAINABILITY, 2020, 12 (17)
  • [10] Metro Stations Classification Based on Clustering Analysis-A Case Study of Beijing Metro
    Lu, Dongliang
    He, Min
    Shuai, Chunyan
    [J]. CICTP 2019: TRANSPORTATION IN CHINA-CONNECTING THE WORLD, 2019, : 1707 - 1717