Table 3.

The results of binary logistic regression.

	Model 3 (20–39-year-old group)			Model 4 (40–64-year-old age group)			Model 5 (Over-64-year-old age group)
	β	Odds Ratio	p-Value	β	Odds Ratio	p-Value	β	Odds Ratio	p-Value
Individual Characteristics
Pedestrian Variables
Pedestrian gender	−0.394 ***	0.674	<0.001	−0.530 ***	0.589	<0.001	−0.449 ***	0.638	<0.001
Driver Variables
Driver age	0.010 ***	1.010	0.007	0.007 **	1.007	0.013	0.009 ***	1.009	0.004
Driver gender	0.015	1.015	0.910	0.267 ***	1.306	0.009	0.297 ***	1.346	0.008
Vehicle type	0.006	1.006	0.969	0.101	1.107	0.355	−0.082	0.921	0.454
Temporal Variables
Time	0.616 ***	1.851	<0.001	0.506 ***	1.658	<0.001	0.218 **	1.244	0.031
Weather condition	0.405 ***	1.499	0.005	0.132	1.141	0.264	0.270 *	1.311	0.083
Neighborhood Characteristics
Safety Zones
School zone	0.000	1.000	0.724	0.000 **	1.000	0.044	0.000	1.000	0.158
Silver zone	0.000	1.000	0.889	0.000 **	1.000	0.046	0.000	1.000	0.692
Road Environments
Bus stop	−0.022	0.979	0.322	−0.001	0.999	0.939	−0.014	0.986	0.450
Crosswalk	−0.008 *	0.992	0.059	0.000	1.000	0.999	0.003	1.003	0.538
Traffic signal	0.008	1.008	0.137	−0.006	0.994	0.138	0.008 *	1.008	0.087
Speed camera	−0.040 **	0.961	0.016	−0.005	0.995	0.683	−0.012	.988	0.405
Average posted speed limit	0.010	1.010	0.172	0.007	1.007	0.221	0.003	1.003	0.665
Neighborhood street	0.000	1.000	0.325	0.000 ***	1.000	0.005	0.000	1.000	0.575
Arterial road	0.000	1.000	0.230	0.000	1.000	0.639	0.000	1.000	0.981
Land Uses
Residential area	0.000	1.000	0.491	0.000	1.000	0.286	0.000	1.000	0.304
Commercial area	0.000	1.000	0.943	0.000	1.000	0.350	0.000	1.000	0.101
Industrial area	0.000	1.000	0.362	0.000 **	1.000	0.017	0.000	1.000	0.220
Constant	−1.353 ***	0.258	0.005	−0.533	0.587	0.175	0.166	1.181	0.685
number of observations	1731			2452			2200
−2 log likelihood	2063.61			3278.50			2727.86

* p < 0.1, ** p < 0.05, *** p < 0.01.