Graph theoretical analysis of the Chinese high-speed rail network over time

被引:26
作者
Chen, Cheng [1 ]
D'Alfonso, Tiziana [2 ]
Guo, Huanxiu [3 ]
Jiang, Changmin [4 ]
机构
[1] Univ British Columbia, Sauder Sch Business, Vancouver, BC, Canada
[2] Sapienza Univ Roma, Dept Comp Control & Management Engn, Rome, Italy
[3] Nanjing Univ, Sch Environm, Ctr Environm Management & Policy Anal, Nanjing, Jiangsu, Peoples R China
[4] Univ Manitoba, Asper Sch Business, Winnipeg, MB, Canada
关键词
Graph theory; High-speed rail; China; Centralities; AIR TRANSPORT COMPETITION; LOW-COST CARRIER; ACCESSIBILITY IMPACTS; CENTRALITY; COOPERATION; DEMAND; JAPAN;
D O I
10.1016/j.retrec.2018.07.030
中图分类号
F [经济];
学科分类号
02 ;
摘要
In this paper, we examine the development of the Chinese high-speed rail (HSR) network over the period 2003-2014. Our methodology relies on network analysis to identify changes over time in HSR network accessibility measured by node degree, strength, closeness, and betweenness. We show that sub-networks connecting regional centres with second-tier cities are fast built. Once such sub-networks are mostly established, they are also connected with each other. Moreover, a simultaneous rather than a sequential schedule for multiple HSR segments is at place at any particular time. Finally, we show that the HSR network expands all the lower-elevation, more populous and prosperous regions. Although some clusters are critical politically, HSR network development is still mainly driven by economic factors, which is reflected from the fact that nodes in the more economically vibrant regions present a higher number of routes passing through and higher service quality (i.e., lower travel time). Finally, in order to illustrate the uniqueness of the Chinese HSR development pattern, we briefly discuss and compare the HSR development in other Asian markets, notably Taiwan, South Korea and Japan.
引用
收藏
页码:3 / 14
页数:12
相关论文
共 49 条
  • [1] [Anonymous], 2018, Chinadaily
  • [2] [Anonymous], 2001, J Transp Geogr, DOI DOI 10.1016/S0966-6923(01)00017-5
  • [3] [Anonymous], 2010, NETWORKS INTRO, DOI DOI 10.1093/ACPROF:OSO/9780199206650.001.0001
  • [4] Avenali A, 2018, STRATEGIC FORM UNPUB
  • [5] Validation of Land Cover Maps in China Using a Sampling-Based Labeling Approach
    Bai, Yan
    Feng, Min
    Jiang, Hao
    Wang, Juanle
    Liu, Yingzhen
    [J]. REMOTE SENSING, 2015, 7 (08) : 10589 - 10606
  • [6] The architecture of complex weighted networks
    Barrat, A
    Barthélemy, M
    Pastor-Satorras, R
    Vespignani, A
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2004, 101 (11) : 3747 - 3752
  • [7] Some stylized facts about high-speed rail: A review of HSR experiences around the world
    Campos, Javier
    de Rus, Gines
    [J]. TRANSPORT POLICY, 2009, 16 (01) : 19 - 28
  • [8] Accessibility impacts of China's high-speed rail network
    Cao, Jing
    Liu, Xiaoyue Cathy
    Wang, Yinhai
    Li, Qingquan
    [J]. JOURNAL OF TRANSPORT GEOGRAPHY, 2013, 28 : 12 - 21
  • [9] High-speed rail in Taiwan: New experience and issues for future development
    Cheng, Yung-Hsiang
    [J]. TRANSPORT POLICY, 2010, 17 (02) : 51 - 63
  • [10] Chinacom, 2016, CHINA HSR LUCRATIVE