Journal of Advanced Transportation / 2017 / Article / Tab 5

Research Article

Evaluation of Factors Affecting E-Bike Involved Crash and E-Bike License Plate Use in China Using a Bivariate Probit Model

Table 5

Estimate results of the BP model.

VariableE-bike involved crashE-bike license plate use
SE value 95% conf. intervalSE value 95% conf. interval

Gender (male versus female)0.5770.121<0.0010.3400.814−0.7720.143<0.001−1.052−0.492
Age group (young versus older)0.3620.1350.0070.0970.627−1.4330.4290.001−2.274−0.592
Education level (high versus low)−0.5300.2540.037−1.028−0.0311.5420.5770.0080.4112.673
Holding automobile driver license (yes versus no)−0.6190.125<0.001−0.864−0.3740.6520.108<0.0010.4400.864
Type of e-bike (E-scooter versus e-bike)0.4310.1930.0260.0530.809
Car in household (yes versus no)−0.4450.1420.002−0.723−0.1670.3710.1210.0020.1340.608
Frequency of using e-bike (frequently versus occasionally)0.5110.2160.0180.0880.934
Experiences in using e-bike (3–5 years versus <1 year)−0.5760.1710.001−0.911−0.2410.7220.163<0.0010.4031.041
Experiences in using e-bike (>5 years versus <1 year)−0.4660.1420.001−0.744−0.1880.5740.1710.0010.2390.909
Law compliance (strong versus no)−1.1150.3760.003−1.852−0.3781.2210.196<0.0010.8371.605
Aggressive driving behaviors (frequently versus no)0.6410.3030.0340.0471.235−0.2320.1060.029−0.440−0.024
Aggressive driving behaviors (generally versus no)0.6240.2480.0120.1381.110
Impulse behavior (frequently versus no)0.4750.1860.0110.1100.840
Degree of riding experience (skilled versus new driver)−0.3120.1520.040−0.610−0.014
Risk perception scale (high versus low)−0.2870.1140.012−0.510−0.064
Registration fee (low versus high)0.5110.2210.0020.0780.944
Time for license registration (30 min versus >30 min)0.6540.2360.0010.1911.117

Note. Number of observations = 862. The correlation of ( value < 0.001). Log likelihood at convergence = . — represents that the variable is not significant at a 95% confidence level.

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