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Assessing risk associated with recreational activities in coastal areas by using a bayesian network

Taiwan is an island and therefore has a considerable amount of coastal land. Drowning or near-drowning incidents often occur in coastal recreational areas. To reduce the risk of drowning or near-drowning associated with marine recreational activities in Taiwan, this study collected data on the risk...

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Autores principales: Lee, Meng-Tsung, Chang, Yang-Chi, Yang, Han-Chung, Lin, Yi-Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10559200/
https://www.ncbi.nlm.nih.gov/pubmed/37809791
http://dx.doi.org/10.1016/j.heliyon.2023.e19827
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author Lee, Meng-Tsung
Chang, Yang-Chi
Yang, Han-Chung
Lin, Yi-Jun
author_facet Lee, Meng-Tsung
Chang, Yang-Chi
Yang, Han-Chung
Lin, Yi-Jun
author_sort Lee, Meng-Tsung
collection PubMed
description Taiwan is an island and therefore has a considerable amount of coastal land. Drowning or near-drowning incidents often occur in coastal recreational areas. To reduce the risk of drowning or near-drowning associated with marine recreational activities in Taiwan, this study collected data on the risk associated with marine recreational activities. It selected risk factors using a modified Delphi panel method, with an expert panel used to obtain probability values for each risk factor. A Bayesian network for risk assessment was then established. The results of this study can serve as a reference for stakeholders involved in marine recreational activities. Severe weather conditions increase wave height and current speed, resulting in an increased risk of drowning or near-drowning when coastal recreational activities occur under these conditions. Individuals who undertake marine recreational activities without safety awareness are more likely to exhibit risky behaviors. When self-rescue ability is insufficient to prevent possible danger, the probability of drowning or near-drowning is higher. Serious incidents may lead to death, and therefore, marine recreational activities should be avoided when weather conditions are poor. In addition, the safety awareness and self-rescue ability of individuals undertaking coastal recreational activities should be improved. This study did not explore emergency response measures or postincident policy management.
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spelling pubmed-105592002023-10-08 Assessing risk associated with recreational activities in coastal areas by using a bayesian network Lee, Meng-Tsung Chang, Yang-Chi Yang, Han-Chung Lin, Yi-Jun Heliyon Research Article Taiwan is an island and therefore has a considerable amount of coastal land. Drowning or near-drowning incidents often occur in coastal recreational areas. To reduce the risk of drowning or near-drowning associated with marine recreational activities in Taiwan, this study collected data on the risk associated with marine recreational activities. It selected risk factors using a modified Delphi panel method, with an expert panel used to obtain probability values for each risk factor. A Bayesian network for risk assessment was then established. The results of this study can serve as a reference for stakeholders involved in marine recreational activities. Severe weather conditions increase wave height and current speed, resulting in an increased risk of drowning or near-drowning when coastal recreational activities occur under these conditions. Individuals who undertake marine recreational activities without safety awareness are more likely to exhibit risky behaviors. When self-rescue ability is insufficient to prevent possible danger, the probability of drowning or near-drowning is higher. Serious incidents may lead to death, and therefore, marine recreational activities should be avoided when weather conditions are poor. In addition, the safety awareness and self-rescue ability of individuals undertaking coastal recreational activities should be improved. This study did not explore emergency response measures or postincident policy management. Elsevier 2023-09-04 /pmc/articles/PMC10559200/ /pubmed/37809791 http://dx.doi.org/10.1016/j.heliyon.2023.e19827 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Lee, Meng-Tsung
Chang, Yang-Chi
Yang, Han-Chung
Lin, Yi-Jun
Assessing risk associated with recreational activities in coastal areas by using a bayesian network
title Assessing risk associated with recreational activities in coastal areas by using a bayesian network
title_full Assessing risk associated with recreational activities in coastal areas by using a bayesian network
title_fullStr Assessing risk associated with recreational activities in coastal areas by using a bayesian network
title_full_unstemmed Assessing risk associated with recreational activities in coastal areas by using a bayesian network
title_short Assessing risk associated with recreational activities in coastal areas by using a bayesian network
title_sort assessing risk associated with recreational activities in coastal areas by using a bayesian network
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10559200/
https://www.ncbi.nlm.nih.gov/pubmed/37809791
http://dx.doi.org/10.1016/j.heliyon.2023.e19827
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