Zhangyuan He , Pengjun Zhao , Guangyu Huang , Zhaoxiang Li , Zhucheng Huang , Yingnan Niu , Caixia Zhang
{"title":"利用AIS轨迹数据揭示集装箱运输网络在中断事件中的适应性","authors":"Zhangyuan He , Pengjun Zhao , Guangyu Huang , Zhaoxiang Li , Zhucheng Huang , Yingnan Niu , Caixia Zhang","doi":"10.1016/j.ocecoaman.2025.107862","DOIUrl":null,"url":null,"abstract":"<div><div>The adaptivity of maritime systems can significantly mitigate the disruptions caused by global events. However, there is a lack of systematic methods to measure maritime system adaptivity under such events, especially given that most events have only localized impacts. This paper introduces a unique and systematic approach, utilizing AIS trajectory data from container ships in 2022 (over 4.5 billion trajectory signals) to assess the adaptivity of the global container shipping network during the Russia-Ukraine (RU) conflict. Results reveal that the RU conflict affected the vulnerability, freight volume distribution, and operational efficiency of the global container shipping network by 34 %–54 % between March and September 2022. Between June and September, the system's adaptivity was below the annual average, compounded by deteriorating external conditions, culminating in the peak impact of the RU conflict on the shipping network. With increasing adaptivity, the container shipping network achieved a new equilibrium phase post-September 2022. Moreover, we observe significant spatial heterogeneity in the impact of system adaptivity on congestion in relevant shipping routes and ports across different phases. This paper provides a systematic framework for quantifying the adaptivity of the container shipping network during disruption events, contributing to a deeper understanding of the vulnerability dynamics of the shipping system. This research has practical implications for the maritime industry, providing insights into how to better prepare for and respond to similar events in the future.</div></div>","PeriodicalId":54698,"journal":{"name":"Ocean & Coastal Management","volume":"270 ","pages":"Article 107862"},"PeriodicalIF":5.4000,"publicationDate":"2025-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Unrevealing the adaptivity of container shipping network during disruption events by AIS trajectory data\",\"authors\":\"Zhangyuan He , Pengjun Zhao , Guangyu Huang , Zhaoxiang Li , Zhucheng Huang , Yingnan Niu , Caixia Zhang\",\"doi\":\"10.1016/j.ocecoaman.2025.107862\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The adaptivity of maritime systems can significantly mitigate the disruptions caused by global events. However, there is a lack of systematic methods to measure maritime system adaptivity under such events, especially given that most events have only localized impacts. This paper introduces a unique and systematic approach, utilizing AIS trajectory data from container ships in 2022 (over 4.5 billion trajectory signals) to assess the adaptivity of the global container shipping network during the Russia-Ukraine (RU) conflict. Results reveal that the RU conflict affected the vulnerability, freight volume distribution, and operational efficiency of the global container shipping network by 34 %–54 % between March and September 2022. Between June and September, the system's adaptivity was below the annual average, compounded by deteriorating external conditions, culminating in the peak impact of the RU conflict on the shipping network. With increasing adaptivity, the container shipping network achieved a new equilibrium phase post-September 2022. Moreover, we observe significant spatial heterogeneity in the impact of system adaptivity on congestion in relevant shipping routes and ports across different phases. This paper provides a systematic framework for quantifying the adaptivity of the container shipping network during disruption events, contributing to a deeper understanding of the vulnerability dynamics of the shipping system. This research has practical implications for the maritime industry, providing insights into how to better prepare for and respond to similar events in the future.</div></div>\",\"PeriodicalId\":54698,\"journal\":{\"name\":\"Ocean & Coastal Management\",\"volume\":\"270 \",\"pages\":\"Article 107862\"},\"PeriodicalIF\":5.4000,\"publicationDate\":\"2025-07-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ocean & Coastal Management\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0964569125003242\",\"RegionNum\":2,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"OCEANOGRAPHY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ocean & Coastal Management","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0964569125003242","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"OCEANOGRAPHY","Score":null,"Total":0}
Unrevealing the adaptivity of container shipping network during disruption events by AIS trajectory data
The adaptivity of maritime systems can significantly mitigate the disruptions caused by global events. However, there is a lack of systematic methods to measure maritime system adaptivity under such events, especially given that most events have only localized impacts. This paper introduces a unique and systematic approach, utilizing AIS trajectory data from container ships in 2022 (over 4.5 billion trajectory signals) to assess the adaptivity of the global container shipping network during the Russia-Ukraine (RU) conflict. Results reveal that the RU conflict affected the vulnerability, freight volume distribution, and operational efficiency of the global container shipping network by 34 %–54 % between March and September 2022. Between June and September, the system's adaptivity was below the annual average, compounded by deteriorating external conditions, culminating in the peak impact of the RU conflict on the shipping network. With increasing adaptivity, the container shipping network achieved a new equilibrium phase post-September 2022. Moreover, we observe significant spatial heterogeneity in the impact of system adaptivity on congestion in relevant shipping routes and ports across different phases. This paper provides a systematic framework for quantifying the adaptivity of the container shipping network during disruption events, contributing to a deeper understanding of the vulnerability dynamics of the shipping system. This research has practical implications for the maritime industry, providing insights into how to better prepare for and respond to similar events in the future.
期刊介绍:
Ocean & Coastal Management is the leading international journal dedicated to the study of all aspects of ocean and coastal management from the global to local levels.
We publish rigorously peer-reviewed manuscripts from all disciplines, and inter-/trans-disciplinary and co-designed research, but all submissions must make clear the relevance to management and/or governance issues relevant to the sustainable development and conservation of oceans and coasts.
Comparative studies (from sub-national to trans-national cases, and other management / policy arenas) are encouraged, as are studies that critically assess current management practices and governance approaches. Submissions involving robust analysis, development of theory, and improvement of management practice are especially welcome.