全球海洋运输网络健壮性评估
发布时间：2018-08-05 16:25
【摘要】：海洋运输网络结构健壮性与运输效率密切相关,也是海洋运输系统抗干扰能力的具体表现。目前的海洋运输网络健壮性研究主要基于集装箱班轮运输网络开展,忽略了货运船舶的多态性。针对上述问题,本文利用2015年全球海洋货物运输船舶自动识别系统(Automatic Identification System,AIS)数据,构建了包含港口中转停留信息的全球海洋货物运输网络,然后从原油、集装箱、散货三种货物运输模式网络入手,证明其结构符合幂律分布,并采用随机性攻击和蓄意攻击策略,分析了三种网络在不同攻击策略下的破碎过程。结果表明:(1)与基于集装箱班轮起止港口信息构建的运输网络相比,利用货运船舶AIS数据构建的运输网络更完整地反映了全球海洋运输格局和过程;(2)不同货运网络结构健壮性存在巨大差异,散货运输网络最健壮,其次为原油运输网络,集装箱运输网络最脆弱;(3)小规模的蓄意攻击会对集装箱运输网络完整性产生较大的影响,而对散货运输网络和原油运输网络完整性影响较小。研究成果可为港口规划、航线设计与优化以及建立更可靠的海洋运输网络体系提供参考和决策支持。
[Abstract]:The robustness of ocean transport network structure is closely related to transport efficiency, and it is also the concrete performance of anti-jamming ability of ocean transportation system. The current research on the robustness of marine transport networks is mainly based on container liner transport networks, ignoring the polymorphism of freight vessels. In view of the above problems, this paper uses the data of (Automatic Identification system AIS, a global marine cargo ship identification system, to construct a global ocean freight transport network containing port transit information, and then from crude oil, containers, and so on. It is proved that the network of three modes of bulk cargo transportation conforms to the power law distribution, and the fragmentation process of the three networks under different attack strategies is analyzed by using random attack and deliberate attack strategy. The results show that: (1) compared with the transportation network based on container liner port information, The transportation network constructed by using the AIS data of freight ship reflects the global ocean transportation pattern and process more completely. (2) there are great differences in the robustness of different freight network structure, and the bulk transport network is the most robust, followed by the crude oil transport network. The container transport network is the most vulnerable; (3) the integrity of container transport network will be greatly affected by small scale deliberate attack, but the integrity of bulk cargo transport network and crude oil transport network will be less affected. The research results can provide reference and decision support for port planning, route design and optimization, as well as the establishment of a more reliable marine transportation network system.
【作者单位】： 中国科学院地理科学与资源研究所资源与环境信息系统国家重点实验室;中国科学院大学;集美大学航海学院;船舶辅助导航技术国家地方联合工程研究中心;
【基金】：中国科学院重点项目(ZDRW-ZS-2016-6-3)~~
【分类号】：F551
[Abstract]:The robustness of ocean transport network structure is closely related to transport efficiency, and it is also the concrete performance of anti-jamming ability of ocean transportation system. The current research on the robustness of marine transport networks is mainly based on container liner transport networks, ignoring the polymorphism of freight vessels. In view of the above problems, this paper uses the data of (Automatic Identification system AIS, a global marine cargo ship identification system, to construct a global ocean freight transport network containing port transit information, and then from crude oil, containers, and so on. It is proved that the network of three modes of bulk cargo transportation conforms to the power law distribution, and the fragmentation process of the three networks under different attack strategies is analyzed by using random attack and deliberate attack strategy. The results show that: (1) compared with the transportation network based on container liner port information, The transportation network constructed by using the AIS data of freight ship reflects the global ocean transportation pattern and process more completely. (2) there are great differences in the robustness of different freight network structure, and the bulk transport network is the most robust, followed by the crude oil transport network. The container transport network is the most vulnerable; (3) the integrity of container transport network will be greatly affected by small scale deliberate attack, but the integrity of bulk cargo transport network and crude oil transport network will be less affected. The research results can provide reference and decision support for port planning, route design and optimization, as well as the establishment of a more reliable marine transportation network system.
【作者单位】： 中国科学院地理科学与资源研究所资源与环境信息系统国家重点实验室;中国科学院大学;集美大学航海学院;船舶辅助导航技术国家地方联合工程研究中心;
【基金】：中国科学院重点项目(ZDRW-ZS-2016-6-3)~~
【分类号】：F551
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