Research Article
Prediction for Traffic Accident Severity: Comparing the Bayesian Network and Regression Models
Table 5
Estimation results of the Regression models.
| Variables | Fatality forecasting model | Injury forecasting model | Property damage forecasting model | Coef. | -stat. | Coef. | -stat. | Coef. | -stat. |
| Constant | −2.57 | −12.53 | | | | | Mi | 0.44 | 3.36 | −0.14 | −2.50 | −0.09 | −1.85 | Bi | 1.11 | 8.82 | −0.30 | −4.99 | | | Wc | −0.27 | −1.66 | 0.23 | 2.70 | −0.12 | −1.85 | Tod | −0.44 | −4.03 | | | −0.15 | −3.29 | Vd | | | | | 0.10 | 4.88 | Pc | | | −0.38 | −5.24 | | | Tsc | 0.22 | 2.06 | −0.07 | −1.57 | 0.11 | 2.76 | L-Mvl | | | −0.08 | −1.57 | | | L-C | −0.52 | −1.39 | | | −0.40 | −3.51 | L-Rrs | 0.73 | 5.98 | | | 0.72 | 4.07 | L-I | | | 0.23 | 4.94 | 0.20 | 1.10 | | | | −1.50 | | 0.80 | | | | | 1.47 | | 2.77 | | MAPE | 0.0530 | | 0.0415 | | 0.0698 | | Hit ratio (%) | 84.65 | 80.20 | 60.23 |
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