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Spatiotemporally complementary effect of high-speed rail network on robustness of aviation network

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  • Li, Tao
  • Rong, Lili

Abstract

Although previous studies explored the relationship between high-speed rail (HSR) and civil aviation, most of them focus on the negative effects of HSR on civil aviation, including the competition between them. However, studies exploring the positive effects of HSR on civil aviation remain limited. This study demonstrates that a high-speed rail network (HSRN) has a spatiotemporally complementary effect (CE) on the robustness of aviation networks (ANs) against different types of hazards. First, we describe the AN as a multiple weighted network with the CE of HSRN based on the operating routes of flights and trains, instead of an independent network. Then, a novel framework for assessing the robustness of AN is developed considering travel time and service frequency as its metrics and considering the coverage distance of the CE. We find that the CE can obviously reduce the loss of the AN’s performance under various disaster scenarios by analyzing the robustness of the AN of Mainland China complemented by HSRN; different levels of CE have different effects on the robustness of AN. Besides the airports located in Eastern China, some non-hub airports such as Changzhou, Wuxi, and Shaorao, are easily complemented by the HSRN. Further, the CE at different times exerts different effects on the robustness of AN, which reach a peak at 16:00 and 07:00. These findings can help broaden the ideas and approaches for enhancing the robustness of the AN.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:transa:v:155:y:2022:i:c:p:95-114
    DOI: 10.1016/j.tra.2021.10.020
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    as
    1. WorldFish, 2020. "Annual Report 2019," Monographs, The WorldFish Center, number 40875, April.
    2. Bruegel, . "Bruegel annual report 2019," Books, Bruegel, number 36773.
    3. Wan, Yulai & Ha, Hun-Koo & Yoshida, Yuichiro & Zhang, Anming, 2016. "Airlines’ reaction to high-speed rail entries: Empirical study of the Northeast Asian market," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 532-557.
    4. 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.
    5. Sun, Xiaoqian & Wandelt, Sebastian & Zhang, Anming, 2021. "Comparative accessibility of Chinese airports and high-speed railway stations: A high-resolution, yet scalable framework based on open data," Journal of Air Transport Management, Elsevier, vol. 92(C).
    6. 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.
    7. Wang, Lvhua & Liu, Yongxue & Sun, Chao & Liu, Yahui, 2016. "Accessibility impact of the present and future high-speed rail network: A case study of Jiangsu Province, China," Journal of Transport Geography, Elsevier, vol. 54(C), pages 161-172.
    8. Zhu, Zhenran & Zhang, Anming & Zhang, Yahua, 2018. "Connectivity of intercity passenger transportation in China: A multi-modal and network approach," Journal of Transport Geography, Elsevier, vol. 71(C), pages 263-276.
    9. Zhang, Anming & Wan, Yulai & Yang, Hangjun, 2019. "Impacts of high-speed rail on airlines, airports and regional economies: A survey of recent research," Transport Policy, Elsevier, vol. 81(C), pages 1-19.
    10. 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.
    11. A. A. De Bona & K. V. O. Fonseca & M. O. Rosa & R. Lüders & M. R. B. S. Delgado, 2016. "Analysis of Public Bus Transportation of a Brazilian City Based on the Theory of Complex Networks Using the P-Space," Mathematical Problems in Engineering, Hindawi, vol. 2016, pages 1-12, June.
    12. Yang, Hangjun & Zhang, Anming, 2012. "Effects of high-speed rail and air transport competition on prices, profits and welfare," Transportation Research Part B: Methodological, Elsevier, vol. 46(10), pages 1322-1333.
    13. 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.
    14. Wang, Kun & Jiang, Changmin & Ng, Adolf K.Y. & Zhu, Zhenran, 2020. "Air and rail connectivity patterns of major city clusters in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 139(C), pages 35-53.
    15. Corman, Francesco & D’Ariano, Andrea & Marra, Alessio D. & Pacciarelli, Dario & Samà, Marcella, 2017. "Integrating train scheduling and delay management in real-time railway traffic control," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 105(C), pages 213-239.
    16. Yang, Hangjun & Ma, Wenliang & Wang, Qiang & Wang, Kun & Zhang, Yahua, 2020. "Welfare implications for air passengers in China in the era of high-speed rail," Transport Policy, Elsevier, vol. 95(C), pages 1-13.
    17. Wang, Jiaoe & Huang, Jie & Jing, Yue, 2020. "Competition between high-speed trains and air travel in China: From a spatial to spatiotemporal perspective," Transportation Research Part A: Policy and Practice, Elsevier, vol. 133(C), pages 62-78.
    18. Faturechi, Reza & Miller-Hooks, Elise, 2014. "Travel time resilience of roadway networks under disaster," Transportation Research Part B: Methodological, Elsevier, vol. 70(C), pages 47-64.
    19. 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.
    20. Liu, Shuli & Wan, Yulai & Zhang, Anming, 2020. "Does China’s high-speed rail development lead to regional disparities? A network perspective," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 299-321.
    21. Wang, Kun & Xia, Wenyi & Zhang, Anming & Zhang, Qiong, 2018. "Effects of train speed on airline demand and price: Theory and empirical evidence from a natural experiment," Transportation Research Part B: Methodological, Elsevier, vol. 114(C), pages 99-130.
    22. E. E. Koks & J. Rozenberg & C. Zorn & M. Tariverdi & M. Vousdoukas & S. A. Fraser & J. W. Hall & S. Hallegatte, 2019. "A global multi-hazard risk analysis of road and railway infrastructure assets," Nature Communications, Nature, vol. 10(1), pages 1-11, December.
    23. Jia, Tao & Jiang, Bin, 2012. "Building and analyzing the US airport network based on en-route location information," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(15), pages 4031-4042.
    24. Min Ouyang & Hui Tian & Zhenghua Wang & Liu Hong & Zijun Mao, 2019. "Critical Infrastructure Vulnerability to Spatially Localized Failures with Applications to Chinese Railway System," Risk Analysis, John Wiley & Sons, vol. 39(1), pages 180-194, January.
    25. Sun, Xiaoqian & Wandelt, Sebastian & Zheng, Changhong & Zhang, Anming, 2021. "COVID-19 pandemic and air transportation: Successfully navigating the paper hurricane," Journal of Air Transport Management, Elsevier, vol. 94(C).
    26. Jenelius, Erik & Mattsson, Lars-Göran, 2012. "Road network vulnerability analysis of area-covering disruptions: A grid-based approach with case study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(5), pages 746-760.
    27. Zhang, Fangni & Graham, Daniel J. & Wong, Mark Siu Chun, 2018. "Quantifying the substitutability and complementarity between high-speed rail and air transport," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 191-215.
    28. Liu, Shuli & Wan, Yulai & Ha, Hun-Koo & Yoshida, Yuichiro & Zhang, Anming, 2019. "Impact of high-speed rail network development on airport traffic and traffic distribution: Evidence from China and Japan," Transportation Research Part A: Policy and Practice, Elsevier, vol. 127(C), pages 115-135.
    29. Zhang, Wenxin & Nian, Peihao & Lyu, Guowei, 2016. "A multimodal approach to assessing accessibility of a high-speed railway station," Journal of Transport Geography, Elsevier, vol. 54(C), pages 91-101.
    30. 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.
    31. Wang, Jiaoe & Mo, Huihui & Wang, Fahui & Jin, Fengjun, 2011. "Exploring the network structure and nodal centrality of China’s air transport network: A complex network approach," Journal of Transport Geography, Elsevier, vol. 19(4), pages 712-721.
    32. Li, Hongchang & Strauss, Jack & Lu, Liu, 2019. "The impact of high-speed rail on civil aviation in China," Transport Policy, Elsevier, vol. 74(C), pages 187-200.
    33. Sun, Xiaoqian & Wandelt, Sebastian & Hansen, Mark & Li, Ang, 2017. "Multiple airport regions based on inter-airport temporal distances," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 101(C), pages 84-98.
    34. 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.
    35. Li, Tao & Rong, Lili & Zhang, Anming, 2021. "Assessing regional risk of COVID-19 infection from Wuhan via high-speed rail," Transport Policy, Elsevier, vol. 106(C), pages 226-238.
    36. Zhou, Zhengyi & Zhang, Anming, 2021. "High-speed rail and industrial developments: Evidence from house prices and city-level GDP in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 149(C), pages 98-113.
    37. Wang, Kun & Fu, Xiaowen & Czerny, Achim I. & Hua, Guowei & Lei, Zheng, 2020. "Modeling the potential for aviation liberalization in Central Asia – Market analysis and implications for the Belt and Road Initiative," Transportation Research Part A: Policy and Practice, Elsevier, vol. 134(C), pages 184-210.
    38. Ouyang, Min & Pan, ZheZhe & Hong, Liu & He, Yue, 2015. "Vulnerability analysis of complementary transportation systems with applications to railway and airline systems in China," Reliability Engineering and System Safety, Elsevier, vol. 142(C), pages 248-257.
    39. Dewilde, Thijs & Sels, Peter & Cattrysse, Dirk & Vansteenwegen, Pieter, 2014. "Improving the robustness in railway station areas," European Journal of Operational Research, Elsevier, vol. 235(1), pages 276-286.
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    1. Gao, Yanli & Liang, Chongsheng & Zhou, Jie & Chen, Shiming, 2023. "Robustness optimization of aviation-high-speed rail coupling network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 610(C).

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