An empirical study of the labor supply of ride-sourcing drivers
Zhengtian Xu, Daniel Vignon, Yafeng Yin, Jieping Ye
Abstract
The work scheduling flexibility enjoyed by drivers of ride-sourcing platforms poses challenges for these platforms in effectively managing their workforce. A key to resolving these challenges is to understand how drivers set up their work schedule so as to inform management decisions. This letter summarizes our investigation of ride-sourcing drivers’ working hour decisions. Leveraging comprehensive data from Didi Chuxing, a ride-hailing company in China, we calibrate two classic models from previous studies on taxi labor markets to examine drivers’ reactions to earnings in deciding their working hours. Our results suggest that, when deciding whether to continue a shift, drivers pay more attention to future income opportunities and the time already spent working rather than their current earning level.