Analysis of Income Attribution of Ride-hailing Drivers Based on Machine Learning

Abstract

The government promulgated the compliance policy of net contract vehicles, which raised the cost of drivers. In order to preserve the capacity of the platform, it is necessary to ensure the income of drivers. In order to determine the reasons for the low driver’s income, this paper analyzes the driver’s attributes, driver’s behavior, passenger’s behavior and platform factors, screens the characteristic indicators, and uses decision tree and logistic regression machine learning algorithm to judge the important influencing factors and their influence areas, so as to provide support for the follow-up strategy of enterprises.