Table 3. Parameter estimates for daytime injury severity MMNL model.
Variable | Coefficient | t-Statistic |
---|---|---|
Constant [IN] | 2.583 | 1.884 |
Constant [F] | 0.579 | .344 |
Young [F] | 2.073 | 3.756 |
Old [F] | 2.922 | 2.043 |
Male [F] | -1.235 | -2.169 |
Curve [IN] | -1.729 | -2.639 |
Curve [F] | 4.352 | 4.274 |
Rural [IN] | 1.773 | 4.504 |
Rural [F] | 1.887 | 3.555 |
Side swipe [F] | -2.523 | -2.918 |
Pedestrian [IN] | 2.732 | 2.182 |
Pedestrian [F] | 3.763 | 3.823 |
Heavy Vehicle [F] | 1.972 | 4.353 |
Passenger [IN] | 3.530 | 8.498 |
Passenger [F] | 11.316 | 7.329 |
Multi-vehicle [IN] | -2.969 | -4.162 |
Multi-vehicle [F] | -6.047 | -5.056 |
Weekday [F] | -1.870 | -2.121 |
Rain [F] | -4.958 | -4.120 |
Fog [IN] | -1.039 | -2.735 |
Fog [F] | -2.936 | -4.666 |
Concrete [F] | -2.980 | -3.879 |
Asphalt [IN] | 1.299 | 2.515 |
Remove Asphalt [F] | -3.114 | -1.772 |
Milling [F] | -6.382 | -5.646 |
N. lane closures [F] | -1.722 | -2.799 |
N observations | 634 | |
Log-likelihood at convergence | -314.89 | |
McFadden pseudo R2 | 0.495 |