Research Article
Analysis of Factors Affecting a Driver’s Driving Speed Selection in Low Illumination
Table 5
Regression prediction model of speed selection behaviour in low illumination.
| Variable | WOSL60 | WOSL80 | WOSL120 | ΔR2 | β | ΔR2 | β | ΔR2 | Β |
| Step 1: enter | 0.109 | 0.129 | 0.075 | Gender | | 0.002 | | 0.124 | | 0.049 | Age | | −0.06 | | −0.007 | | −0.1 | Education | | −0.068 | | −0.141 | | −0.018 | Driving experience | | 0.109 | | 0.041 | | 0.036 | Average annual mileage | | 0.042 | | −0.086 | | 0.047 | Number of night-driving days per week | | 0.114 | | −0.006 | | −0.204 | Deduction in the past year | | 0.066 | | −0.149 | | 0.136 | Accidents in the past 3 years | | −0.042 | | −0.101 | | 0.003 |
| Step 2: stepwise | WSL60 | 0.381 | 0.609 | | | | | WSL80 | | | 0.169 | 0.277 | | | WSL120 | 0.015 | 0.139 | 0.04 | 0.223 | 0.147 | 0.374 |
| Step 3: stepwise | TDA1 | | | 0.049 | 0.445 | 0.068 | 0.513 | RPA1 | | | 0.018 | −0.248 | | | TDA2 | | | | | | | RPA2 | | | | | 0.051 | −0.343 | | R2 = 0.483 | | R2 = 0.374 | | R2 = 0.309 | |
|
|
|