Name
Title | ||
|---|---|---|
Bayesian network modelling and analysis of accident severity in waterborne transportation: A case study in China. |
Abstract | ||
|---|---|---|
•Analysis of accident severity in waterborne transportation.•Collection and statistical analysis of maritime accident data over 30 years.•Identification of key factors influencing maritime accident severity using data-driven BN and expert verification.•Dynamic prediction of maritime accident severity under high uncertainties. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.ress.2018.07.021 | Reliability Engineering & System Safety |
Field | DocType | Volume |
Waterway accident,Risk analysis (business),China,Scenario analysis,Risk analysis (engineering),Bayesian network,Loss of life,Engineering,Accident prevention,Reliability engineering,Risk model | Journal | 180 |
ISSN | Citations | PageRank |
0951-8320 | 1 | 0.40 |
References | Authors | |
9 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Likun Wang | 1 | 1 | 0.73 |
| Zai-Li Yang | 2 | 112 | 13.72 |