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

Table 4

Descriptive statistics for riding behavior and perception.

Variable	Descriptive	Frequency	Percentage (%)
Riding behavior
Law compliance	Strong	576	66.8
	Fair	201	23.3
	Weak	85	9.9
Aggressive driving behaviors	Frequently	71	8.2
	Generally	171	19.9
	No	620	71.9
Impulse behavior	Frequently	41	4.8
	Generally	96	11.1
	No	725	84.1
Degree of riding experience	Skilled	527	61.2
	General	301	34.9
	New driver	34	3.9
Surrounding traffic conditions	Heavy traffic	478	55.5
	Light traffic	384	44.5
Perception
Risk perception scale	High	387	44.9
	Low	475	55.1
Registration fee	High	314	36.4
	Low	548	63.6
Time for license registration	30 min	577	66.9
	30 min	285	33.1

drivers deliberately behave in such a manner that increases the risk of conflicts. of self-control and level of tolerance for other people’s fault. likelihood of accident and danger.