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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-09-01
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| Series: | Heliyon |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844023070354 |
| _version_ | 1797669798374539264 |
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| author | Meng-Tsung Lee Yang-Chi Chang Han-Chung Yang Yi-Jun Lin |
| author_facet | Meng-Tsung Lee Yang-Chi Chang Han-Chung Yang Yi-Jun Lin |
| author_sort | Meng-Tsung Lee |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-11T20:49:59Z |
| format | Article |
| id | doaj.art-d321b8074b424851b9a7fb87175de70f |
| institution | Directory Open Access Journal |
| issn | 2405-8440 |
| language | English |
| last_indexed | 2024-03-11T20:49:59Z |
| publishDate | 2023-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj.art-d321b8074b424851b9a7fb87175de70f2023-10-01T06:01:25ZengElsevierHeliyon2405-84402023-09-0199e19827Assessing risk associated with recreational activities in coastal areas by using a bayesian networkMeng-Tsung Lee0Yang-Chi Chang1Han-Chung Yang2Yi-Jun Lin3Department of Marine Leisure Management, National Kaohsiung University of Science and Technology, Kaohsiung, TaiwanDepartment of Marine Environment and Engineering, National Sun Yat-sen University, Kaohsiung, TaiwanDepartment of Marine Leisure Management, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan; Corresponding author.No. 142, Haijhuan Rd., Nanzih Dist., Kaohsiung City 811213, Taiwan.Department of Marine Leisure Management, National Kaohsiung University of Science and Technology, Kaohsiung, TaiwanTaiwan 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.http://www.sciencedirect.com/science/article/pii/S2405844023070354Risk assessmentMarine recreational activitiesBayesian network |
| spellingShingle | Meng-Tsung Lee Yang-Chi Chang Han-Chung Yang Yi-Jun Lin Assessing risk associated with recreational activities in coastal areas by using a bayesian network Heliyon Risk assessment Marine recreational activities 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 | Risk assessment Marine recreational activities Bayesian network |
| url | http://www.sciencedirect.com/science/article/pii/S2405844023070354 |
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