Research Article
A Data Mining Approach on Lorry Drivers Overloading in Tehran Urban Roads
Table 5
The results of logistic regression analysis.
| Variable | Category | Reference category | Model coefficient | Standard deviation error | Sig | Odds ratio | 95% confidence interval for EXP (B) | Lower bound | Upper bound |
| Constant | | | −9.73 | 2.508 | 0.000 | | | | Truck tonnage capacity | TC1 | TC4 | 5.036 | 2.073 | 0.015 | 15.25 | 5.031 | 46.07 | TC2 | 7.901 | 1.768 | 0.000 | 26.99 | 14.74 | 49.42 | TC3 | 5.53 | 1.315 | 0.000 | 25.4 | 2.92 | 220.8 | Lorry type | LT1 | LT4 | −1.856 | 0.958 | 0.053 | 0.156 | 0.032 | 0.755 | LT2 | −0.913 | 0.948 | 0.335 | 0.401 | 0.084 | 1.907 | Packing type | PT1 | PT3 | 4.078 | 1.183 | 0.001 | 59.02 | 8.43 | 413.18 | PT2 | 4.023 | 1.176 | 0.001 | 55.86 | 8.07 | 386.62 | Load type | LOT1 | LOT5 | 1.49 | 0.483 | 0.002 | 4.439 | 2 | 9.83 | LOT2 | 2.31 | 0.472 | 0.000 | 10.16 | 4.675 | 22.10 | LOT3 | 0.543 | 0.499 | 0.0277 | 1.721 | 0.757 | 3.915 | LOT4 | 1.24 | 0.395 | 0.003 | 3.47 | 1.815 | 6.654 | Traffic type section | TS1 | TS4 | 0.031 | 0.349 | 0.93 | 1.031 | 0.581 | 1.83 | TS2 | −1.404 | 0.554 | 0.011 | 0.246 | 0.099 | 0.611 | TS3 | −0.289 | 0.393 | 0.462 | 0.749 | 0.392 | 1.429 | Holiday status | HS1 | HS2 | −2.183 | 0.762 | 0.000 | 0.056 | 0.016 | 0.198 |
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