IDEAS home Printed from https://ideas.repec.org/a/eee/transe/v154y2021ics1366554521002325.html
   My bibliography  Save this article

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

Author

Listed:
  • Zhou, Yaoming
  • Kundu, Tanmoy
  • Qin, Wei
  • Goh, Mark
  • Sheu, Jiuh-Biing

Abstract

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.

Suggested Citation

  • Zhou, Yaoming & Kundu, Tanmoy & Qin, Wei & Goh, Mark & Sheu, Jiuh-Biing, 2021. "Vulnerability of the worldwide air transportation network to global catastrophes such as COVID-19," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 154(C).
  • Handle: RePEc:eee:transe:v:154:y:2021:i:c:s1366554521002325
    DOI: 10.1016/j.tre.2021.102469
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1366554521002325
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.tre.2021.102469?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Chen, Bi Yu & Lam, William H.K. & Sumalee, Agachai & Li, Qingquan & Li, Zhi-Chun, 2012. "Vulnerability analysis for large-scale and congested road networks with demand uncertainty," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(3), pages 501-516.
    2. Sean Wilkinson & Sarah Dunn & Shu Ma, 2012. "The vulnerability of the European air traffic network to spatial hazards," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 60(3), pages 1027-1036, February.
    3. Li, Tao & Rong, Lili & Yan, Kesheng, 2019. "Vulnerability analysis and critical area identification of public transport system: A case of high-speed rail and air transport coupling system in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 127(C), pages 55-70.
    4. Paleari, Stefano & Redondi, Renato & Malighetti, Paolo, 2010. "A comparative study of airport connectivity in China, Europe and US: Which network provides the best service to passengers?," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(2), pages 198-210, March.
    5. David L. Alderson & Gerald G. Brown & W. Matthew Carlyle & R. Kevin Wood, 2018. "Assessing and Improving the Operational Resilience of a Large Highway Infrastructure System to Worst-Case Losses," Transportation Science, INFORMS, vol. 52(4), pages 1012-1034, August.
    6. Janić, Milan, 2015. "Reprint of “Modelling the resilience, friability and costs of an air transport network affected by a large-scale disruptive event”," Transportation Research Part A: Policy and Practice, Elsevier, vol. 81(C), pages 77-92.
    7. Zhang, Yahua & Zhang, Anming & Zhu, Zhenran & Wang, Kun, 2017. "Connectivity at Chinese airports: The evolution and drivers," Transportation Research Part A: Policy and Practice, Elsevier, vol. 103(C), pages 490-508.
    8. Valentina Cacchiani & Alberto Caprara & Laura Galli & Leo Kroon & Gábor Maróti & Paolo Toth, 2012. "Railway Rolling Stock Planning: Robustness Against Large Disruptions," Transportation Science, INFORMS, vol. 46(2), pages 217-232, May.
    9. Lichun Chen & Elise Miller-Hooks, 2012. "Resilience: An Indicator of Recovery Capability in Intermodal Freight Transport," Transportation Science, INFORMS, vol. 46(1), pages 109-123, February.
    10. Hsu, Chaug-Ing & Shih, Hsien-Hung, 2008. "Small-world network theory in the study of network connectivity and efficiency of complementary international airline alliances," Journal of Air Transport Management, Elsevier, vol. 14(3), pages 123-129.
    11. Dunn, Sarah & Wilkinson, Sean M., 2016. "Increasing the resilience of air traffic networks using a network graph theory approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 90(C), pages 39-50.
    12. H. Jeong & B. Tombor & R. Albert & Z. N. Oltvai & A.-L. Barabási, 2000. "The large-scale organization of metabolic networks," Nature, Nature, vol. 407(6804), pages 651-654, October.
    13. Zhou, Yaoming & Kundu, Tanmoy & Goh, Mark & Sheu, Jiuh-Biing, 2021. "Multimodal transportation network centrality analysis for Belt and Road Initiative," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 149(C).
    14. 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.
    15. Renato Redondi & Paolo Malighetti & Stefano Paleari, 2011. "New Routes and Airport Connectivity," Networks and Spatial Economics, Springer, vol. 11(4), pages 713-725, December.
    16. Cheung, Tommy K.Y. & Wong, Collin W.H. & Zhang, Anming, 2020. "The evolution of aviation network: Global airport connectivity index 2006–2016," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 133(C).
    17. Bombelli, Alessandro & Santos, Bruno F. & Tavasszy, Lóránt, 2020. "Analysis of the air cargo transport network using a complex network theory perspective," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 138(C).
    18. Lordan, Oriol & Sallan, Jose M. & Simo, Pep, 2014. "Study of the topology and robustness of airline route networks from the complex network approach: a survey and research agenda," Journal of Transport Geography, Elsevier, vol. 37(C), pages 112-120.
    19. Du, Wen-Bo & Zhou, Xing-Lian & Lordan, Oriol & Wang, Zhen & Zhao, Chen & Zhu, Yan-Bo, 2016. "Analysis of the Chinese Airline Network as multi-layer networks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 89(C), pages 108-116.
    20. Wandelt, Sebastian & Sun, Xiaoqian, 2015. "Evolution of the international air transportation country network from 2002 to 2013," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 82(C), pages 55-78.
    21. Malighetti, Paolo & Paleari, Stefano & Redondi, Renato, 2008. "Connectivity of the European airport network: “Self-help hubbing†and business implications," Journal of Air Transport Management, Elsevier, vol. 14(2), pages 53-65.
    22. Zhu, Zhenran & Zhang, Anming & Zhang, Yahua & Huang, Zhibin & Xu, Shiteng, 2019. "Measuring air connectivity between China and Australia," Journal of Transport Geography, Elsevier, vol. 74(C), pages 359-370.
    23. Arvis, Jean-François & Shepherd, Ben, 2011. "The air connectivity index : measuring integration in the global air transport network," Policy Research Working Paper Series 5722, The World Bank.
    24. Zhou, Yaoming & Wang, Junwei & Huang, George Q., 2019. "Efficiency and robustness of weighted air transport networks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 122(C), pages 14-26.
    25. Allroggen, Florian & Wittman, Michael D. & Malina, Robert, 2015. "How air transport connects the world – A new metric of air connectivity and its evolution between 1990 and 2012," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 80(C), pages 184-201.
    26. Voltes-Dorta, Augusto & Rodríguez-Déniz, Héctor & Suau-Sanchez, Pere, 2017. "Vulnerability of the European air transport network to major airport closures from the perspective of passenger delays: Ranking the most critical airports," Transportation Research Part A: Policy and Practice, Elsevier, vol. 96(C), pages 119-145.
    27. Janić, Milan, 2015. "Modelling the resilience, friability and costs of an air transport network affected by a large-scale disruptive event," Transportation Research Part A: Policy and Practice, Elsevier, vol. 71(C), pages 1-16.
    28. Wei, P. & Chen, L. & Sun, D., 2014. "Algebraic connectivity maximization of an air transportation network: The flight routes’ addition/deletion problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 61(C), pages 13-27.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Chen, Yenming J. & Chang, Kuo-Hao & Sheu, Jiuh-Biing & Liu, Chih-Hao & Chang, Chy-Chang & Chang, Chieh-Hsin & Wang, Guan-Xun, 2023. "Vulnerability-based regionalization for disaster management considering storms and earthquakes," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 169(C).
    2. Hongbin Liu & Guopeng Song & Tianyu Liu & Bo Guo, 2022. "Multitask Emergency Logistics Planning under Multimodal Transportation," Mathematics, MDPI, vol. 10(19), pages 1-25, October.
    3. Zhou, Yaoming & Kundu, Tanmoy & Goh, Mark & Chakraborty, Shankar & Bai, Xiwen, 2023. "A multi-stage multi-criteria data analytics approach to rank commercial service airports," Journal of Air Transport Management, Elsevier, vol. 111(C).
    4. Zhou, Yaoming & Kundu, Tanmoy & Goh, Mark & Sheu, Jiuh-Biing, 2023. "Beyond throughput: Incorporating air transport network topology in airport performance measurement," Journal of Air Transport Management, Elsevier, vol. 112(C).
    5. Liu, Jiaguo & Zhao, Aixiang & Kong, Yudan & Wang, Junjin, 2022. "Optimal subsidy policies of the Chinese cruise market under the impact of COVID-19," Transport Policy, Elsevier, vol. 126(C), pages 280-291.
    6. Timperio, Giuseppe & Kundu, Tanmoy & Klumpp, Matthias & de Souza, Robert & Loh, Xiu Hui & Goh, Kelvin, 2022. "Beneficiary-centric decision support framework for enhanced resource coordination in humanitarian logistics: A case study from ASEAN," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 167(C).
    7. Kundu, Tanmoy & Sheu, Jiuh-Biing & Kuo, Hsin-Tsz, 2022. "Emergency logistics management—Review and propositions for future research," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).
    8. Bai, Xiwen & Ma, Zhongjun & Zhou, Yaoming, 2023. "Data-driven static and dynamic resilience assessment of the global liner shipping network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 170(C).
    9. Abdelaty, Hatem & Mohamed, Moataz & Ezzeldin, Mohamed & El-Dakhakhni, Wael, 2022. "Temporal robustness assessment framework for city-scale bus transit networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 606(C).
    10. Jayles, Bertrand & Cheong, Siew Ann & Herrmann, Hans J., 2022. "Modeling the resilience of social networks to lockdowns regarding the dynamics of meetings," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 602(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Li, Siping & Zhou, Yaoming & Kundu, Tanmoy & Zhang, Fangni, 2021. "Impact of entry restriction policies on international air transport connectivity during COVID-19 pandemic," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).
    2. Wang, Junwei & Zhou, Yaoming & Huang, George Q., 2019. "Alternative pair in the airport network," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 408-418.
    3. Cheung, Tommy K.Y. & Wong, Collin W.H. & Zhang, Anming, 2020. "The evolution of aviation network: Global airport connectivity index 2006–2016," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 133(C).
    4. Li, Tao & Rong, Lili, 2020. "A comprehensive method for the robustness assessment of high-speed rail network with operation data: A case in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 666-681.
    5. Wang, Xinglong & Peng, Jinhan & Tang, Junqing & Lu, Qiuchen & Li, Xiaowei, 2022. "Investigating the impact of adding new airline routes on air transportation resilience in China," Transport Policy, Elsevier, vol. 125(C), pages 79-95.
    6. Li, Siping & Zhou, Yaoming & Kundu, Tanmoy & Sheu, Jiuh-Biing, 2021. "Spatiotemporal variation of the worldwide air transportation network induced by COVID-19 pandemic in 2020," Transport Policy, Elsevier, vol. 111(C), pages 168-184.
    7. Wandelt, Sebastian & Sun, Xiaoqian, 2015. "Evolution of the international air transportation country network from 2002 to 2013," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 82(C), pages 55-78.
    8. Li, Tao & Rong, Lili, 2022. "Spatiotemporally complementary effect of high-speed rail network on robustness of aviation network," Transportation Research Part A: Policy and Practice, Elsevier, vol. 155(C), pages 95-114.
    9. Leonidas Siozos-Rousoulis & Dimitri Robert & Wouter Verbeke, 2021. "A study of the U.S. domestic air transportation network: temporal evolution of network topology and robustness from 2001 to 2016," Journal of Transportation Security, Springer, vol. 14(1), pages 55-78, June.
    10. Pan, Shouzheng & Yan, Hai & He, Jia & He, Zhengbing, 2021. "Vulnerability and resilience of transportation systems: A recent literature review," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 581(C).
    11. Wong, Allen & Tan, Sijian & Chandramouleeswaran, Keshav Ram & Tran, Huy T., 2020. "Data-driven analysis of resilience in airline networks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 143(C).
    12. Zhang, Linfeng & Hou, Meng & Liu, Yichen & Wang, Kun & Yang, Hangjun, 2022. "Measuring Beijing's international air connectivity and suggestions for improvement post COVID-19," Transport Policy, Elsevier, vol. 116(C), pages 132-143.
    13. Redondi, Renato & Birolini, Sebastian & Morlotti, Chiara & Paleari, Stefano, 2021. "Connectivity measures and passengers’ behavior: Comparing conventional connectivity models to predict itinerary market shares," Journal of Air Transport Management, Elsevier, vol. 90(C).
    14. Lawford, Steve & Mehmeti, Yll, 2020. "Cliques and a new measure of clustering: With application to U.S. domestic airlines," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 560(C).
    15. Jakšić, Zoran & Janić, Milan, 2020. "Modeling resilience of the ATC (Air Traffic Control) sectors," Journal of Air Transport Management, Elsevier, vol. 89(C).
    16. Xiaoqian Sun & Sebastian Wandelt, 2021. "Robustness of Air Transportation as Complex Networks:Systematic Review of 15 Years of Research and Outlook into the Future," Sustainability, MDPI, vol. 13(11), pages 1-19, June.
    17. Zhou, Yaoming & Wang, Junwei & Huang, George Q., 2019. "Efficiency and robustness of weighted air transport networks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 122(C), pages 14-26.
    18. Li, Tao & Rong, Lili & Yan, Kesheng, 2019. "Vulnerability analysis and critical area identification of public transport system: A case of high-speed rail and air transport coupling system in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 127(C), pages 55-70.
    19. Jiang, Yonglei & Yao, Baozhen & Wang, Lu & Feng, Tao & Kong, Lu, 2017. "Evolution trends of the network structure of Spring Airlines in China: A temporal and spatial analysis," Journal of Air Transport Management, Elsevier, vol. 60(C), pages 18-30.
    20. Bingxue Qian & Ning Zhang, 2022. "Topology and Robustness of Weighted Air Transport Networks in Multi-Airport Region," Sustainability, MDPI, vol. 14(11), pages 1-15, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:transe:v:154:y:2021:i:c:s1366554521002325. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/600244/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.