Huanxin Wang
Dalian Maritime University
12 Papers
1 Citations
Huanxin Wang is an academic researcher from Dalian Maritime University. The author has contributed to research in topics: Computer science & Geology. The author has an hindex of 2, co-authored 2 publications.
Chat about Author
Papers
An analysis of factors affecting the severity of marine accidents
TL;DR: In this paper, an ordered logistic regression model is used to reflect the relationship between the severity of marine accidents and influencing factors, and the results show that the marine accident severity is positively associated with sinking accidents, far away from port, strong wind, heavy sea, strong current and/or good visibility.
153
Analysis of factors affecting the severity of marine accidents using a data-driven Bayesian network
Yuliang Cao,Xinjian Wang,Yihang Wang,Shiqi Fan,Huanxin Wang,Zaili Yang,Zhengjiang Liu,Jin Wang,Runjie Shi +8 more
TL;DR: In this paper , a data-driven Bayesian network model is used to analyse the relationship between the severity of marine accidents and relevant Accident Influential Factors (AIFs).
75
Research in marine accidents: A bibliometric analysis, systematic review and future directions
TL;DR: In this article , the authors analyzed the research evolution and knowledge frontier in the research of marine accidents, 491 literatures on marine accidents in the Web of Science database from 2000 to 2022 are taken as data sources.
73
Passengers' likely behaviour based on demographic difference during an emergency evacuation in a Ro-Ro passenger ship
TL;DR: Wang et al. as mentioned in this paper examined the characteristics of passengers on a ship route between the Shandong and Liaodong Peninsula, through a questionnaire survey, to address the likely behaviours of passengers during emergency evacuation and the demographic differences among these behaviours.
49
GIS-based analysis on the spatial patterns of global maritime accidents
TL;DR: Based on the global maritime accident data from 2010 to 2019, density analysis and clustering analysis have been used to analyse the spatial patterns of maritime accidents in terms of accident frequency and severity as mentioned in this paper .
40