{"title":"全球航运网络弹性演化与动态过程识别","authors":"Yafeng Qin , Jianke Guo , Shasha Wu","doi":"10.1016/j.tranpol.2025.103851","DOIUrl":null,"url":null,"abstract":"<div><div>The port and shipping industry has experienced unprecedented market fluctuations, resulting in a volatile environment characterized by congestion, soaring freight rates, loading delays, and disruptions in maritime supply chains. Therefore, ensuring the stability and resilience of shipping networks is crucial for ensuring industrial and supply chain security. This study adopts an interdisciplinary approach, integrating geography transportation engineering perspectives, to develop a theoretical framework and identification model combining static indicators and dynamic scenarios to assess shipping network resilience. Using global shipping data from 2018 to 2022, the model's feasibility was verified, revealing patterns in the evolution and dynamic processes of global shipping network resilience. The resilience index—0.620, 0.612, 0.587, 0.576, and 0.597—showed an initial decline followed by recovery. Port resilience exhibited spatial imbalance and regional clustering, with high-resilience ports such as Singapore, Port Kelang, Shanghai, and Hong Kong. Compared to previous studies, the proposed framework better captures the complexity and dynamic nature of resilience. Notably, resilience under specific strategies (node degree and risk probability) was generally lower than that in random node strategies. In 2020, the rate of decline was relatively high, while the recovery rate remained low. These findings offer insights and theoretical guidance for maritime supply chain security and sustainable development.</div></div>","PeriodicalId":48378,"journal":{"name":"Transport Policy","volume":"174 ","pages":"Article 103851"},"PeriodicalIF":6.3000,"publicationDate":"2025-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The resilience evolution and dynamic process identification of the global shipping network\",\"authors\":\"Yafeng Qin , Jianke Guo , Shasha Wu\",\"doi\":\"10.1016/j.tranpol.2025.103851\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The port and shipping industry has experienced unprecedented market fluctuations, resulting in a volatile environment characterized by congestion, soaring freight rates, loading delays, and disruptions in maritime supply chains. Therefore, ensuring the stability and resilience of shipping networks is crucial for ensuring industrial and supply chain security. This study adopts an interdisciplinary approach, integrating geography transportation engineering perspectives, to develop a theoretical framework and identification model combining static indicators and dynamic scenarios to assess shipping network resilience. Using global shipping data from 2018 to 2022, the model's feasibility was verified, revealing patterns in the evolution and dynamic processes of global shipping network resilience. The resilience index—0.620, 0.612, 0.587, 0.576, and 0.597—showed an initial decline followed by recovery. Port resilience exhibited spatial imbalance and regional clustering, with high-resilience ports such as Singapore, Port Kelang, Shanghai, and Hong Kong. Compared to previous studies, the proposed framework better captures the complexity and dynamic nature of resilience. Notably, resilience under specific strategies (node degree and risk probability) was generally lower than that in random node strategies. In 2020, the rate of decline was relatively high, while the recovery rate remained low. These findings offer insights and theoretical guidance for maritime supply chain security and sustainable development.</div></div>\",\"PeriodicalId\":48378,\"journal\":{\"name\":\"Transport Policy\",\"volume\":\"174 \",\"pages\":\"Article 103851\"},\"PeriodicalIF\":6.3000,\"publicationDate\":\"2025-10-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Transport Policy\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0967070X25003944\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transport Policy","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0967070X25003944","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
The resilience evolution and dynamic process identification of the global shipping network
The port and shipping industry has experienced unprecedented market fluctuations, resulting in a volatile environment characterized by congestion, soaring freight rates, loading delays, and disruptions in maritime supply chains. Therefore, ensuring the stability and resilience of shipping networks is crucial for ensuring industrial and supply chain security. This study adopts an interdisciplinary approach, integrating geography transportation engineering perspectives, to develop a theoretical framework and identification model combining static indicators and dynamic scenarios to assess shipping network resilience. Using global shipping data from 2018 to 2022, the model's feasibility was verified, revealing patterns in the evolution and dynamic processes of global shipping network resilience. The resilience index—0.620, 0.612, 0.587, 0.576, and 0.597—showed an initial decline followed by recovery. Port resilience exhibited spatial imbalance and regional clustering, with high-resilience ports such as Singapore, Port Kelang, Shanghai, and Hong Kong. Compared to previous studies, the proposed framework better captures the complexity and dynamic nature of resilience. Notably, resilience under specific strategies (node degree and risk probability) was generally lower than that in random node strategies. In 2020, the rate of decline was relatively high, while the recovery rate remained low. These findings offer insights and theoretical guidance for maritime supply chain security and sustainable development.
期刊介绍:
Transport Policy is an international journal aimed at bridging the gap between theory and practice in transport. Its subject areas reflect the concerns of policymakers in government, industry, voluntary organisations and the public at large, providing independent, original and rigorous analysis to understand how policy decisions have been taken, monitor their effects, and suggest how they may be improved. The journal treats the transport sector comprehensively, and in the context of other sectors including energy, housing, industry and planning. All modes are covered: land, sea and air; road and rail; public and private; motorised and non-motorised; passenger and freight.