Vulnerability of the worldwide air transportation network to global catastrophes such as COVID-19

被引:54
作者
Zhou, Yaoming [1 ]
Kundu, Tanmoy [2 ]
Qin, Wei [3 ]
Goh, Mark [4 ]
Sheu, Jiuh-Biing [5 ]
机构
[1] Shanghai Jiao Tong Univ, Dept Ind Engn & Management, Shanghai, Peoples R China
[2] Natl Univ Singapore, Logist Inst Asia Pacific, Singapore, Singapore
[3] Shanghai Jiao Tong Univ, Dept Ind Engn Management, Shanghai, Peoples R China
[4] Natl Univ Singapore, Logist Inst Asia Pacific, NUS Business Sch, Dept Analyt & Operat, Singapore, Singapore
[5] Natl Taiwan Univ, Dept Business Adm, Taipei, Taiwan
基金
中国国家自然科学基金;
关键词
Air transportation; Connectivity; Network disruption; Vulnerability; COVID-19; ALGEBRAIC CONNECTIVITY MAXIMIZATION; LARGE-SCALE; ROBUSTNESS; RESILIENCE; EVOLUTION; EFFICIENCY; SYSTEM; CHINA;
D O I
10.1016/j.tre.2021.102469
中图分类号
F [经济];
学科分类号
02 ;
摘要
This paper studies the vulnerability of the worldwide air transportation network (WATN) during a global catastrophe such as COVID-19. Considering the WATN as a weighted network, many airport connections could be completely or partially disrupted during such extreme events. However, it is found that existing weighted metrics cannot reflect the impact of connection capacity reduction on network connectivity. Therein, this work proposes a novel network efficiency metric termed as layered weighted network efficiency (LWNE) metric to measure the connectivity of the air transportation networks (ATNs) and study their vulnerability in response to different levels of disruptions, including airport level, country level, and global level. The most critical airport connections and their impact on network connectivity are identified. It is found that the critical connections are mostly between so-called bridge airports but not core airports in the WATN. By examining the impact of partial link disruptions, it is found that some connections mainly serve local travel demand and are very robust to partial disruptions, while the others connecting global hubs are sensitive to partial disruptions. Further, the WATN is robust to the individual disconnection of most countries; however, it is vulnerable to the simultaneous disconnection of countries that serve international transfers. Interestingly, the WATN is insensitive to the disconnection between any two countries, even those with sizeable domestic ATNs. Concerning global disconnections, as long as all the international connections hold 10% of their original flights, the WATN can still expect 40% of its pre-disruption performance. This paper deepens the understanding of ATNs under extreme events and provides a method for studying transportation networks' vulnerability facing global disruptions.
引用
收藏
页数:17
相关论文
共 46 条
  • [1] Assessing and Improving the Operational Resilience of a Large Highway Infrastructure System to Worst-Case Losses
    Alderson, David L.
    Brown, Gerald G.
    Carlyle, W. Matthew
    Wood, R. Kevin
    [J]. TRANSPORTATION SCIENCE, 2018, 52 (04) : 1012 - 1034
  • [2] How air transport connects the world - A new metric of air connectivity and its evolution between 1990 and 2012
    Allroggen, Florian
    Wittman, Michael D.
    Malina, Robert
    [J]. TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2015, 80 : 184 - 201
  • [3] Arvis J.-F., 2011, World Bank's Policy Research Working Papers, V5722, DOI [10.1596/1813-9450-5722, DOI 10.1596/1813-9450-5722]
  • [4] Analysis of the air cargo transport network using a complex network theory perspective
    Bombelli, Alessandro
    Santos, Bruno F.
    Tavasszy, Lorant
    [J]. TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2020, 138 (138)
  • [5] Railway Rolling Stock Planning: Robustness Against Large Disruptions
    Cacchiani, Valentina
    Caprara, Alberto
    Galli, Laura
    Kroon, Leo
    Maroti, Gabor
    Toth, Paolo
    [J]. TRANSPORTATION SCIENCE, 2012, 46 (02) : 217 - 232
  • [6] Modeling the multi-layer nature of the European Air Transport Network: Resilience and passengers re-scheduling under random failures
    Cardillo, Alessio
    Zanin, Massimiliano
    Gomez-Gardenes, Jesus
    Romance, Miguel
    Garcia del Amo, Alejandro J.
    Boccaletti, Stefano
    [J]. EUROPEAN PHYSICAL JOURNAL-SPECIAL TOPICS, 2013, 215 (01) : 23 - 33
  • [7] Vulnerability analysis for large-scale and congested road networks with demand uncertainty
    Chen, Bi Yu
    Lam, William H. K.
    Sumalee, Agachai
    Li, Qingquan
    Li, Zhi-Chun
    [J]. TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 2012, 46 (03) : 501 - 516
  • [8] Resilience: An Indicator of Recovery Capability in Intermodal Freight Transport
    Chen, Lichun
    Miller-Hooks, Elise
    [J]. TRANSPORTATION SCIENCE, 2012, 46 (01) : 109 - 123
  • [9] The evolution of aviation network: Global airport connectivity index 2006-2016
    Cheung, Tommy K. Y.
    Wong, Collin W. H.
    Zhang, Anming
    [J]. TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2020, 133
  • [10] Resilience of the US National Airspace System Airport Network
    Clark, Kevin L.
    Bhatia, Udit
    Kodra, Evan A.
    Ganguly, Auroop R.
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2018, 19 (12) : 3785 - 3794