Research Article

Correcting the Cognitive Bias for Commuting Time to Relieve the Driving Stress Level in Snow Weather Condition: A Naturalistic Driving Study in Harbin, China

Table 4

Hierarchical linear multiple regression models for predicting the overall stress scores in various scenarios.

Variables (mean values)Baseline driving scenario (clear weather conditions)Comparative driving scenario (snow weather conditions)
βtAICβtAIC

Step 1: sociodemographic characteristics (F = 10.56, )0.0010110.00956
 Age−0.040.610.550−0.06−0.830.412
 Gender (1 = male, 2 = female)1.921.990.0463.562.320.025
Step 2: driving experience (F = 25.91, )0.029850.03883
 Age−0.030.940.351−0.06−1.190.233
 Gender (1 = male, 2 = female)1.722.010.0413.852.330.020
 Years licensed−0.02−1.080.282−0.03−1.280.205
Step 3: commuting driving (F = 19.48, )0.079630.09851
 Age−0.03−1.310.194−0.05−1.560.120
 Gender (1 = male, 2 = female)1.782.310.0273.922.530.011
 Years licensed−0.02−1.270.219−0.03−1.380.170
 Drive frequency−2.14−2.730.006−3.96−2.910.004
 Commuting trip distance0.180.010.9880.330.090.924
Step 4: cognitive bias for commuting time (F = 17.59, )0.229270.31829
 Age−0.031.390.169−1.590.113
 Gender (1 = male, 2 = female)1.762.480.0133.982.590.011
 Years licensed−0.021.810.072−0.041.880.064
 Drive frequency−3.05−2.930.003−5.16−3.390.001
 Commuting trip distance0.200.130.9010.300.190.855
 Commuting time gap5.193.760.0005.204.940.000

Overall stress scores in baseline driving scenario (clear weather conditions): (). Overall stress scores in comparative driving scenario (snow weather conditions): (). , , .