Research Article
Critical Factors Analysis of Severe Traffic Accidents Based on Bayesian Network in China
Table 8
Risk degree raking of single-vehicle traffic accidents.
| Factor variables | Severity analysis result of the number of deaths | Severity analysis result of the number of injuries | Expectation | Ranking vector | Ranking | Expectation | Ranking vector | Ranking |
| Overspeed | (15.381, 24.530) | 0.1097 | 8 | (15.381, 24.530) | 0.1171 | 6 | Commuter bus involved | (17.018, 26.220) | 0.1225 | 6 | (17.018, 26.220) | 0.1531 | 1 | Straight alignment | (17.008, 26.486) | 0.1235 | 5 | (17.008, 26.486) | 0.1169 | 7 | Physical separation | (17.885, 27.424) | 0.1303 | 3 | (17.885, 27.424) | 0.1189 | 5 | Slippery pavement | (17.040, 26.521) | 0.1238 | 4 | (17.040, 26.521) | 0.1196 | 4 | Night | (18.267, 27.834) | 0.1333 | 2 | (18.267, 27.834) | 0.1399 | 2 | Poor weather | (18.482, 28.073) | 0.1350 | 1 | (18.482, 28.073) | 0.1211 | 3 | Poor visibility | (16.803, 26.266) | 0.1219 | 7 | (16.803, 26.266) | 0.1134 | 8 |
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