Research Article
Data-Driven Urban Traffic Accident Analysis and Prediction Using Logit and Machine Learning-Based Pattern Recognition Models
Table 4
Variables of the severity of accident logit model.
| Variables | β | Standard deviation | Wald statistic | Significance | Odds ratio |
| 6 : 00 to 12 : 00 | −3.345 | 1.326 | 6.364 | 0.012 | 0.035 | 12 : 00 to 18 : 00 | 2.939 | 1.286 | 5.201 | 0.023 | 18.897 | 18 : 00 to 24 : 00 | 7.373 | 2.488 | 8.783 | 0.003 | 1592.404 | Autumn | −1.918 | 0.725 | 7.010 | 0.008 | 0.147 | Sunny weather | −2.446 | 0.806 | 9.205 | 0.002 | 0.087 | Rainy weather | 2.751 | 1.157 | 5.656 | 0.017 | 15.658 | Lack of attention | 1.119 | 0.644 | 3.020 | 0.082 | 3.062 | Female driver | −2.063 | 0.783 | 6.946 | 0.008 | 0.127 | Head-on collision | 2.204 | 0.771 | 8.176 | 0.004 | 9.061 | Day time | −4.343 | 1.422 | 9.323 | 0.002 | 0.013 | KIA Pride vehicle | 3.795 | 1.287 | 8.696 | 0.003 | 44.478 | Constant | 6.734 | 2.914 | 5.338 | 0.021 | 840.503 |
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