Journal of Advanced Transportation / 2017 / Article / Tab 2

Research Article

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

Table 2

Descriptive statistics for demographic information.

VariableDescriptiveFrequencyPercentage (%)

Individual characteristics

GenderMale43850.8
Female42449.2

Age groupYoung (<30)46353.7
Middle-aged (30–60)28633.2
Older (>60)11313.1

Education levelHigh (postgraduate and higher)14116.4
Middle (junior college or undergraduate)34339.8
Middle-low (high school and junior middle school)29434.1
Low (junior middle school and lower)849.7

OccupationStudent10512.2
Employee in enterprise/company24428.3
Officer11913.8
Self-employed14316.6
Freelance12814.8
Retired768.8
Others475.5

Holding automobile driver licenseYes55264.0
No31036.0

Household characteristics

Number of e-bikes in household150658.7
>135641.3

Car in householdYes25629.7
No60670.3

Type of e-bikeScooter style40146.5
Bicycle style46153.5

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