Nanxi Wang , Kum Fai Yuen , Xueyi Gao , Yinghui Nie
{"title":"Resilience assessment of global container shipping network via port communities","authors":"Nanxi Wang , Kum Fai Yuen , Xueyi Gao , Yinghui Nie","doi":"10.1016/j.trd.2025.104649","DOIUrl":null,"url":null,"abstract":"<div><div>The global container shipping network (GCSN) is vulnerable to disruptions. This study aims to enhance the GCSN resilience by proposing an enhanced disruption simulation model and introducing a novel research perspective: port communities. The simulation model integrates cascading failure and recovery mechanisms, incorporates ship behaviour during disruptions, and introduces a temporal dimension to track the network’s evolution. Port community-to- community connections provide a clearer and more holistic perspective. Using Infomap algorithm, port communities are identified based on transportation direction, capacity, and geographic proximity, resulting in a decentralized and balanced structure while preserving GCSN’s scale-free and small-world properties. Simulations of various disruption scenarios and recovery strategies yielded optimized key parameters and practical recommendations. For instance, the optimal distance threshold for detecting port communities is 300 km. Additionally, weak correlations between alternative port numbers and community size/throughput (0.17, 0.246) underscore the need for geographically balanced distribution and reduced reliance on single ports.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"141 ","pages":"Article 104649"},"PeriodicalIF":7.3000,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportation Research Part D-transport and Environment","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1361920925000598","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
引用次数: 0
Abstract
The global container shipping network (GCSN) is vulnerable to disruptions. This study aims to enhance the GCSN resilience by proposing an enhanced disruption simulation model and introducing a novel research perspective: port communities. The simulation model integrates cascading failure and recovery mechanisms, incorporates ship behaviour during disruptions, and introduces a temporal dimension to track the network’s evolution. Port community-to- community connections provide a clearer and more holistic perspective. Using Infomap algorithm, port communities are identified based on transportation direction, capacity, and geographic proximity, resulting in a decentralized and balanced structure while preserving GCSN’s scale-free and small-world properties. Simulations of various disruption scenarios and recovery strategies yielded optimized key parameters and practical recommendations. For instance, the optimal distance threshold for detecting port communities is 300 km. Additionally, weak correlations between alternative port numbers and community size/throughput (0.17, 0.246) underscore the need for geographically balanced distribution and reduced reliance on single ports.
期刊介绍:
Transportation Research Part D: Transport and Environment focuses on original research exploring the environmental impacts of transportation, policy responses to these impacts, and their implications for transportation system design, planning, and management. The journal comprehensively covers the interaction between transportation and the environment, ranging from local effects on specific geographical areas to global implications such as natural resource depletion and atmospheric pollution.
We welcome research papers across all transportation modes, including maritime, air, and land transportation, assessing their environmental impacts broadly. Papers addressing both mobile aspects and transportation infrastructure are considered. The journal prioritizes empirical findings and policy responses of regulatory, planning, technical, or fiscal nature. Articles are policy-driven, accessible, and applicable to readers from diverse disciplines, emphasizing relevance and practicality. We encourage interdisciplinary submissions and welcome contributions from economically developing and advanced countries alike, reflecting our international orientation.