Table 2.
The results of binary logistic regression.
| Variables | Model 1 (All age groups) | Model 2 (Under-20-year-old group) | ||||
|---|---|---|---|---|---|---|
| β | Odds Ratio | p-Value | β | Odds Ratio | p-Value | |
| Individual Characteristics | ||||||
| Pedestrian Variables | ||||||
| Pedestrian age | 0.024 *** | 1.024 | <0.001 | |||
| Pedestrian gender | −0.391 *** | 0.677 | <0.001 | −0.031 | 0.969 | 0.782 |
| Driver Variables | ||||||
| Driver age | 0.009 *** | 1.009 | < 0.001 | 0.009 *** | 1.009 | 0.009 |
| Driver gender | 0.162 *** | 1.176 | 0.005 | 0.055 | 1.056 | 0.670 |
| Vehicle type | 0.004 | 1.004 | 0.951 | −0.069 | 0.933 | 0.655 |
| Time | 0.265 *** | 1.304 | <0.001 | 0.080 | 1.084 | 0.493 |
| Weather condition | 0.194 *** | 1.214 | 0.007 | 0.108 | 1.115 | 0.570 |
| Neighborhood Characteristics | ||||||
| Safety Zones | ||||||
| School zone | 0.000 *** | 1.000 | 0.005 | 0.000 ** | 1.000 | 0.030 |
| Silver zone | 0.000 | 1.000 | 0.282 | 0.000 | 1.000 | 0.922 |
| Road Environments | ||||||
| Bus stop | −0.013 | 0.988 | 0.187 | −0.032 | 0.969 | 0.134 |
| Crosswalk | −0.003 * | 0.997 | 0.093 | −0.005 | 0.995 | 0.277 |
| Traffic signal | 0.003 | 1.003 | 0.158 | −0.001 | 0.999 | 0.856 |
| Speed camera | −0.013 * | 0.987 | 0.083 | 0.014 | 1.014 | 0.470 |
| Average posted speed limit | 0.006 * | 1.006 | 0.061 | 0.001 | 1.001 | 0.916 |
| Neighborhood street | 0.000 ** | 1.000 | 0.013 | 0.000 | 1.000 | 0.211 |
| Arterial road | 0.000 | 1.000 | 0.579 | 0.000 | 1.000 | 0.178 |
| Land Uses | ||||||
| Residential area | 0.000 | 1.000 | 0.935 | 0.000 | 1.000 | 0.953 |
| Commercial area | 0.000 | 1.000 | 0.311 | 0.000 | 1.000 | 0.599 |
| Industrial area | 0.000 ** | 1.000 | 0.019 | 0.000 | 1.000 | 0.940 |
| Constant | −1.530 *** | 0.217 | <0.001 | −0.401 | 0.670 | 0.453 |
| number of observations | 7881 | 1498 | ||||
| −2 log likelihood | 10,067.93 | 1880.20 | ||||
* p < 0.1, ** p < 0.05, *** p < 0.01.