Research Article
Exploring Risk Factors with Crash Severity on China Two-Lane Rural Roads Using a Random-Parameter Ordered Probit Model
Table 6
Estimation results for the random-parameter ordered probit model.
| Variables | Mean | Standard error | Z | Prob. z > | Prob. ≤ 0) (%) | Prob. > 0 (%) |
| Constant | 0.045 | 0.173 | 0.260 | 0.793 | 39.74 | 60.26 | DR_LO | −0.29817 | 0.086 | −3.470 | 0.001 | 4.81 | 95.19 | DR_BE | −0.49270 | 0.083 | −5.910 | 0.000 | 1.81 | 98.19 | DR_BE | 1.24031 | 0.078 | 15.810 | 0.000 | 0.99 | 99.01 | RD_AS | −0.42897 | 0.095 | −4.530 | 0.000 | 4.79 | 95.21 | RD_AS | 1.13642 | 0.093 | 12.190 | 0.000 | 0.99 | 99.01 | EN_TA | −0.22026 | 0.084 | −2.620 | 0.009 | 0.44 | 99.56 | CR_FORM2 | 0.17047 | 0.095 | 1.800 | 0.071 | 3.59 | 96.41 | CR_FORM3 | −1.18383 | 0.224 | −5.270 | 0.000 | 1.81 | 98.19 | CR_FORM3 | 1.13642 | 0.093 | 12.190 | 0.000 | 0.99 | 99.01 | VEH_TYPE3 | 0.96320 | 0.163 | 5.920 | 0.000 | 1.81 | 98.19 |
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Note. The italicized ones represent estimates for the variables resulting in random parameters. < 0.1, < 0.05, and < 0.001. |