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Macro Perspective Research on Transportation Safety: An Empirical Analysis of Network Characteristics and Vulnerability

Author

Listed:
  • Jing Liu

    (Institute of Transportation Engineering, Tsinghua University, Beijing 100084, China
    National Defense University, Beijing 100858, China)

  • Huapu Lu

    (Institute of Transportation Engineering, Tsinghua University, Beijing 100084, China)

  • Mingyu Chen

    (Institute of Transportation Engineering, Tsinghua University, Beijing 100084, China)

  • Jianyu Wang

    (Institute of Transportation Engineering, Tsinghua University, Beijing 100084, China)

  • Ying Zhang

    (lnstitute of system engineering and information control, Beijing 100072, China)

Abstract

The layout of the China Comprehensive Transportation Corridors and Hubs (CCTCH), depicted in the 13th Five Year Plan of Transportation, revolves around transport integration and economic globalization. With the aim of improving the sustainability of the entire national transportation system, this paper studies the sustainability of the CCTCH from the perspective of network characteristics and network invulnerability. The topological properties of the CCTCH were quantitatively analyzed, based on graph theory and complex network theory. The relationship between the node degree, betweenness, socioeconomic factors (i.e., GDP, population, GDP per capita) and hub type was explored using correlation analysis. A vulnerability assessment model was developed to investigate the influence of node disruption on the whole network, as well as specific origin–destination paths, and a simulation analysis was conducted to examine the variations in the network performances faced with different attack scenarios. The results show that, among several factors, the hub type has a strong relationship with the node degree and a moderate correlation with GDP. We conclude that the CCTCH is relatively fragile from the viewpoint of network efficiency, and for the purpose of international transportation from the domestic border hubs to the economically developed cities.

Suggested Citation

  • Jing Liu & Huapu Lu & Mingyu Chen & Jianyu Wang & Ying Zhang, 2020. "Macro Perspective Research on Transportation Safety: An Empirical Analysis of Network Characteristics and Vulnerability," Sustainability, MDPI, vol. 12(15), pages 1-18, August.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:15:p:6267-:d:394206
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    References listed on IDEAS

    as
    1. Hong, Junjie, 2007. "Transport and the location of foreign logistics firms: The Chinese experience," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(6), pages 597-609, July.
    2. Xueliang Zhang, 2008. "Transport infrastructure, spatial spillover and economic growth: Evidence from China," Psychometrika, Springer;The Psychometric Society, vol. 3(4), pages 585-597, December.
    3. Du, Yuxian & Gao, Cai & Hu, Yong & Mahadevan, Sankaran & Deng, Yong, 2014. "A new method of identifying influential nodes in complex networks based on TOPSIS," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 399(C), pages 57-69.
    4. Hui Xu & Liudan Jiao & Shulin Chen & Milan Deng & Ningxin Shen, 2018. "An Innovative Approach to Determining High-Risk Nodes in a Complex Urban Rail Transit Station: A Perspective of Promoting Urban Sustainability," Sustainability, MDPI, vol. 10(7), pages 1-17, July.
    5. Klophaus, Richard & Lordan, Oriol, 2018. "Codesharing network vulnerability of global airline alliances," Transportation Research Part A: Policy and Practice, Elsevier, vol. 111(C), pages 1-10.
    6. Berdica, Katja, 2002. "An introduction to road vulnerability: what has been done, is done and should be done," Transport Policy, Elsevier, vol. 9(2), pages 117-127, April.
    7. Yingying Xing & Jian Lu & Shengdi Chen & Sunanda Dissanayake, 2017. "Vulnerability analysis of urban rail transit based on complex network theory: a case study of Shanghai Metro," Public Transport, Springer, vol. 9(3), pages 501-525, October.
    8. Jing Liu & Huapu Lu & He Ma & Wenzhi Liu, 2017. "Network Vulnerability Analysis of Rail Transit Plans in Beijng-Tianjin-Hebei Region Considering Connectivity Reliability," Sustainability, MDPI, vol. 9(8), pages 1-17, August.
    9. Wang, Jianwei & Rong, Lili & Zhang, Liang & Zhang, Zhongzhi, 2008. "Attack vulnerability of scale-free networks due to cascading failures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(26), pages 6671-6678.
    10. Jiangang Shi & Shiping Wen & Xianbo Zhao & Guangdong Wu, 2019. "Sustainable Development of Urban Rail Transit Networks: A Vulnerability Perspective," Sustainability, MDPI, vol. 11(5), pages 1-24, March.
    11. Wei, Daijun & Zhang, Xiaoge & Mahadevan, Sankaran, 2018. "Measuring the vulnerability of community structure in complex networks," Reliability Engineering and System Safety, Elsevier, vol. 174(C), pages 41-52.
    12. Kim, Seyun & Yoon, Yoonjin, 2019. "On node criticality of the Northeast Asian air route network," Journal of Air Transport Management, Elsevier, vol. 80(C), pages 1-1.
    13. Alumur, Sibel & Kara, Bahar Y., 2008. "Network hub location problems: The state of the art," European Journal of Operational Research, Elsevier, vol. 190(1), pages 1-21, October.
    14. Junjie Hong & Zhaofang Chu & Qiang Wang, 2011. "Transport infrastructure and regional economic growth: evidence from China," Transportation, Springer, vol. 38(5), pages 737-752, September.
    15. Rattanachot, Wit & Wang, Yuhong & Chong, Dan & Suwansawas, Suchatvee, 2015. "Adaptation strategies of transport infrastructures to global climate change," Transport Policy, Elsevier, vol. 41(C), pages 159-166.
    16. Borja Alonso & Vittorio Astarita & Luigi Dell’Olio & Vincenzo Pasquale Giofrè & Giuseppe Guido & Marcella Marino & William Sommario & Alessandro Vitale, 2020. "Validation of Simulated Safety Indicators with Traffic Crash Data," Sustainability, MDPI, vol. 12(3), pages 1-22, January.
    17. Yi Ge & Wen Dou & Haibo Zhang, 2017. "A New Framework for Understanding Urban Social Vulnerability from a Network Perspective," Sustainability, MDPI, vol. 9(10), pages 1-16, September.
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