Bayesian Network Model for River Accident Risk Prediction in Indonesia from 2007 to 2025: An SDG Approach to Water Transportation Safety

dc.contributor.author	Setiawan, Ariyono
dc.contributor.author	Onn, Choo Wou
dc.contributor.author	Handoko, Wisnu
dc.contributor.author	Hadi, Abdul Razak Bin Abdul
dc.contributor.author	Alghoson, Abdullah
dc.date.accessioned	2026-08-20T21:03:48Z
dc.date.available	2026-08-20T21:03:48Z
dc.date.copyright	2026/03/10
dc.date.issued	2026
dc.identifier.other	JWPED5.WWENG-2408.pdf
dc.identifier.uri	http://yetl.yabesh.ir/yetl1/handle/yetl/4313892
dc.description.abstract	Abstract The objectives of this study are to analyze accident patterns across Indonesian inland waterways from 2007 to 2025 and to build a fuzzy Bayesian Network (BN) for risk prediction and causal mapping. The Sustainable Development Goals (SDGs), ...
dc.publisher	American Society of Civil Engineers
dc.title	Bayesian Network Model for River Accident Risk Prediction in Indonesia from 2007 to 2025: An SDG Approach to Water Transportation Safety
dc.type	Journal Article
dc.journal.volume	152
dc.journal.issue	3
dc.journal.title	Journal of Waterway, Port, Coastal, and Ocean Engineering
dc.identifier.doi	10.1061/JWPED5.WWENG-2408
dc.journal.fristpage	04026006-1
dc.journal.lastpage	04026006-12
dc.page	12
dc.tree	Journal of Waterway, Port, Coastal, and Ocean Engineering:;2026:;Volume ( 152 ):;issue: 003
dc.contenttype	Fulltext