An Emergency Port Decision-Making Method for Maritime Accidents in Arctic Waters

The complex and variable hydro-meteorological conditions in Arctic waters and scattered and limited port infrastructures pose a great threat and challenge to Arctic emergency search and rescue. It is crucial to determine an available and effective emergency port for rescue in the event of a maritime...

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Bibliographic Details
Published in:Journal of Marine Science and Engineering
Main Authors: Ting Wang, Xiaoxue Ma, Laihao Ma, Yulan Zhao
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2023
Subjects:
Online Access:https://doi.org/10.3390/jmse11071330
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spelling ftmdpi:oai:mdpi.com:/2077-1312/11/7/1330/ 2023-08-20T04:03:24+02:00 An Emergency Port Decision-Making Method for Maritime Accidents in Arctic Waters Ting Wang Xiaoxue Ma Laihao Ma Yulan Zhao agris 2023-06-29 application/pdf https://doi.org/10.3390/jmse11071330 EN eng Multidisciplinary Digital Publishing Institute https://dx.doi.org/10.3390/jmse11071330 https://creativecommons.org/licenses/by/4.0/ Journal of Marine Science and Engineering; Volume 11; Issue 7; Pages: 1330 maritime accidents arctic waters emergency ports complex network Text 2023 ftmdpi https://doi.org/10.3390/jmse11071330 2023-08-01T10:41:09Z The complex and variable hydro-meteorological conditions in Arctic waters and scattered and limited port infrastructures pose a great threat and challenge to Arctic emergency search and rescue. It is crucial to determine an available and effective emergency port for rescue in the event of a maritime accident occurring in Arctic waters. In the present study, a directed-weighted emergency port network consisting of maritime accident nodes and port nodes for maritime accident-prone areas in Arctic waters is developed based on complex network theory. For this, the maritime accident nodes are identified by using a K-means clustering algorithm based on historical accident data; the port nodes are determined by screening of the port location and scale; the weights for edges between accident nodes and port nodes are characterized in terms of ERT (emergency rescue time) and PEC (port emergency capacity), and the PECs for different emergency ports along Arctic waters are acquired by entropy-weighted TOPSIS. With the developed emergency port network, the topological properties associated with the accident nodes, port nodes, and the edge weights between accident nodes and port nodes are analyzed. What is more, the emergency ports for each maritime accident point occurring in Arctic waters are obtained and ranked. Text Arctic MDPI Open Access Publishing Arctic Journal of Marine Science and Engineering 11 7 1330
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic maritime accidents
arctic waters
emergency ports
complex network
spellingShingle maritime accidents
arctic waters
emergency ports
complex network
Ting Wang
Xiaoxue Ma
Laihao Ma
Yulan Zhao
An Emergency Port Decision-Making Method for Maritime Accidents in Arctic Waters
topic_facet maritime accidents
arctic waters
emergency ports
complex network
description The complex and variable hydro-meteorological conditions in Arctic waters and scattered and limited port infrastructures pose a great threat and challenge to Arctic emergency search and rescue. It is crucial to determine an available and effective emergency port for rescue in the event of a maritime accident occurring in Arctic waters. In the present study, a directed-weighted emergency port network consisting of maritime accident nodes and port nodes for maritime accident-prone areas in Arctic waters is developed based on complex network theory. For this, the maritime accident nodes are identified by using a K-means clustering algorithm based on historical accident data; the port nodes are determined by screening of the port location and scale; the weights for edges between accident nodes and port nodes are characterized in terms of ERT (emergency rescue time) and PEC (port emergency capacity), and the PECs for different emergency ports along Arctic waters are acquired by entropy-weighted TOPSIS. With the developed emergency port network, the topological properties associated with the accident nodes, port nodes, and the edge weights between accident nodes and port nodes are analyzed. What is more, the emergency ports for each maritime accident point occurring in Arctic waters are obtained and ranked.
format Text
author Ting Wang
Xiaoxue Ma
Laihao Ma
Yulan Zhao
author_facet Ting Wang
Xiaoxue Ma
Laihao Ma
Yulan Zhao
author_sort Ting Wang
title An Emergency Port Decision-Making Method for Maritime Accidents in Arctic Waters
title_short An Emergency Port Decision-Making Method for Maritime Accidents in Arctic Waters
title_full An Emergency Port Decision-Making Method for Maritime Accidents in Arctic Waters
title_fullStr An Emergency Port Decision-Making Method for Maritime Accidents in Arctic Waters
title_full_unstemmed An Emergency Port Decision-Making Method for Maritime Accidents in Arctic Waters
title_sort emergency port decision-making method for maritime accidents in arctic waters
publisher Multidisciplinary Digital Publishing Institute
publishDate 2023
url https://doi.org/10.3390/jmse11071330
op_coverage agris
geographic Arctic
geographic_facet Arctic
genre Arctic
genre_facet Arctic
op_source Journal of Marine Science and Engineering; Volume 11; Issue 7; Pages: 1330
op_relation https://dx.doi.org/10.3390/jmse11071330
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3390/jmse11071330
container_title Journal of Marine Science and Engineering
container_volume 11
container_issue 7
container_start_page 1330
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