Research Article
Distinguishing between Rural and Urban Road Segment Traffic Safety Based on Zero-Inflated Negative Binomial Regression Models
Table 1
ZINB models for segment crash frequency analyses and predictions.
| Role | Variables | Types | Description |
| Dependent variable | Num_crsh | Continuous | Number of crashes (crash frequencies) |
| | ADT_1000 | Continuous | Average thousand daily traffic (thousand vehicles per day) | | Length | Continuous | The length of a segment (mile) | | FFS | Continuous | Free flow speed in road segment (mph) | Independent variable | Daily_VMT | Continuous | Average daily Vehicle Mile Traveled (VMT) | | RorU | Discrete | Rural or urban: 0 = urban; 1 = rural | | FC | Discrete | Segment functional classification: 0 = interstate; 1 = expressway; 2 = arterial; 3 = M_Arterial | | Numberofla | Discrete | Number of lanes: 0 = 2 lanes; 1 = 4 lanes |
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