Research Article

Exploring the Energy Efficiency of Electric Vehicles with Driving Behavioral Data from a Field Test and Questionnaire

Table 4

Correlations between DSQ and measured driving behaviors.

Smooth TrafficAverage SpeedAcc ShareDec ShareConstant ShareIdling ShareAverage AccAverage DecEnergy RegenerationVariation of Steering Wheel Angle

Factor 10.500.15-0.110.26-0.760.19-0.150.16-0.15
Factor 2-0.37-0.270.47-0.370.53-0.030.18-0.090.13
Factor 3-0.270.160.48-0.580.080.280.180.300.59
Factor 40.66-0.35-0.270.63-0.23-0.44-0.33-0.34-0.46
Factor 50.070.260.47-0.57-0.150.480.350.600.40
Factor 60.140.040.140.01-0.40-0.070.220.06-0.22
Factor 7-0.17-0.050.50-0.400.030.150.300.250.51
Factor 80.19-0.27-0.300.460.09-0.48-0.29-0.320.17

Congested TrafficAverage SpeedAcc ShareDec ShareConstant ShareIdling ShareAverage AccAverage DecEnergy RegenerationVariation of Steering Wheel Angle

Factor 10.510.02-0.030.26-0.580.170.150.18-0.23
Factor 20.05-0.050.50-0.330.210.030.220.020.16
Factor 30.100.290.48-0.38-0.080.300.300.300.48
Factor 40.31-0.36-0.210.47-0.36-0.20-0.19-0.15-0.55
Factor 50.120.600.50-0.600.010.620.300.570.62
Factor 60.610.070.420.00-0.58-0.010.230.24-0.17
Factor 7-0.010.390.43-0.460.040.290.470.420.62
Factor 8-0.390.14-0.370.010.250.020.02-0.040.06

N=13
. Correlation is significant at the 0.01 level (2-tailed).
. Correlation is significant at the 0.05 level (2-tailed).