[1]NOTTEBOOM T, HARALAMBIDES H, CULLINANE K,
et al. The red sea crisis: Ramifications for vessel
operations, shipping networks, and maritime supply
chains [J]. Maritime Economics & Logistics, 2024, 26(1):
1-20.
[2]SUN X, LIU C, CHEN X, et al. Modeling systemic risk of
crude oil imports: Case of China's global oil supply chain
[J]. Energy, 2017, 121: 449-465.
[3]CHEN S, DING Y, ZHANG Y, et al. Study on the
robustness of China's oil import network[J]. Energy,
2022, 239: 122139.
[4]WEI N, XIE W J, ZHOU W X. Robustness of the
international oil trade network under targeted attacks to
economies[J]. Energy, 2022, 251: 123939.
[5]WAN C, TAO J, YANG Z, et al. Evaluating recovery
strategies for the disruptions in liner shipping networks:
A resilience approach[J]. The International Journal of
Logistics Management, 2022, 33(2): 389-409.
[6]MATTSSON L G, JENELIUS E. Vulnerability and
resilience of transport systems: A discussion of recent
research[J]. Transportation Research Part A: Policy and
Practice, 2015, 81: 16-34.
[7]吕彪,管心怡,高自强.地铁网络服务韧性评估与最优恢复策略[J]. 交通运输系统工程与信息,2021,21(5):
198-205, 221. [LV B, GUAN X Y, GAO Z Q. Evaluation
and optimal recovery strategy of metro network service
resilience[J].Journal
of
Transportation
Systems
Engineering and Information Technology, 2021, 21(5):
198-205, 221.]
[8]毛新华,王建伟,袁长伟,等.基于韧性最优的灾后公路网修复调度研究[J]. 中国公路学报, 2022, 35(6):
289-298. [MAO X H, WANG J W, YUAN C W, et al.
Restoration scheduling for post-disaster road networks
based on resilience optimization[J]. China Journal of
Highway and Transport, 2022, 35(6): 289-298.]
[9]YAN Z, XIAO Y, CHENG L, et al. Analysis of global
marine oil trade based on automatic identification system
(AIS) data[J]. Journal of Transport Geography, 2020, 83:
102637.
[10] FANG C, CHU Y, FU H, et al. On the resilience
assessment of complementary transportation networks
under natural hazards[J]. Transportation Research Part
D: Transport and Environment, 2022, 109: 103331.
[11]邵斐, 张永锋,真虹.中国进口铁矿石海运网络抗毁性仿真[J]. 交通运输系统工程与信息,2022,22(1): 311321. [SHAO F, ZHANG Y F, ZHEN H. Evaluation and
optimal recovery strategy of metro network service
resilience[J].
Journal
of
Transportation
Systems
Engineering and Information Technology, 2022, 22(1):
311-321.]
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