Research Article
Speeding Violation Type Prediction Based on Decision Tree Method: A Case Study in Wujiang, China
Table 3
Descriptive statistics of the final speeding violation samples (N=46072).
| Variable | Description | N (proportion) | Variable type |
| Speeding type | Type 1 | 39752 (86.30%) | Response | Type 2 | 6320 (13.70%) | License plate | Local license plate | 39207 (85.10%) | Predictor | Foreign license plate | 6865 (14.90%) | Season | Spring | 225508 (48.90%) | Predictor | Summer | 9611 (20.90%) | Autumn | 8836 (19.20%) | Winter | 5117 (11.10%) | Speeding area | Fenhu | 41 (0.10%) | Predictor | Songling | 42961(93.20%) | Lili | 3070 (6.70%) | Position | Country road | 36941 (80.20%) | Predictor | Urban road | 5473 (11.90%) | Intersection | 3658 (7.90%) | Rainfall (mm/h) | No rain | 42219 (91.60%) | Predictor | Light rain | 3823 (8.30%) | Heavy rain | 30 (0.10%) |
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