Capturing the Characteristics of Car-Sharing Users: Data-Driven Analysis and Prediction Based on Classification

Table 1

Attributions of the order data.

Fields	Description
Order ID	Set of numbers generated by the operating platform that is a unique identifier of the order
Total cost	Actual price paid by the user
Car rental station	Station where the user rents the car
Car return station	Station where the user returns the car
Start using time	Time when the user begins using the car
Actual rental time	Time period when the user actually uses the car from renting to returning
Time fee (RMB)	Cost due to time in the order (monetary unit of measurement in China)
Actual travel distance	Traveling distance of the order, which is the total distance of all discontinuous usages
Distance fee (RMB)	Cost due to mileage in the order (monetary unit of measurement in China)
User gender	Sex attribute of user
User ID number	User’s ID number contains the user’s age
User origin	Place of the user’s birth or origin (obtain this information by identifying the user’s ID number)
User mobile number	The user’s mobile number is its unique identifier