E-taxi drivers' charging behavior: Effects of the built environment, temporal factors, and ridership

Transport electrification is a critical step toward energy conservation and emission reduction. However, the central challenge for electrifying transportation remains insufficient and unsuitable configurations of public charging infrastructure. Understanding the charging behavior of electric taxi (e-taxi) drivers from an urban planning perspective is important for planning public charging infrastructure. In light of this, our study extracts e-taxi drivers' charging behavior from the large-scale GPS trajectory data of a fully electrified taxi fleet, considers two major concerns of e-taxi drivers (charging and ridership), and examines the specific nonlinear, threshold, and interaction effects of the built environment, temporal factors, and taxi ridership on e-taxi drivers' usage of charging stations. The results indicate that the built environment represents the largest contributing factor, followed by temporal factors and taxi ridership. Meanwhile, the three variables of interest demonstrate significant nonlinear, threshold, and interactive effects on charging behavior. Research findings from this study can provide insights for future research and offer quantitative support for administrators and planners wanting to deploy appropriate and precise planning strategies that incorporate the charging preferences of e-taxi drivers to improve the effectiveness of spatial planning for public charging stations. • Document the charging behavior of e-taxis using large-scale real-world GPS data. • Examine the spatiotemporal patterns of the charging behavior of e-taxis. • Nonlinear effects of the environment, temporal factors, and ridership. • Provide insights for charging station planning based on e-taxi charging behavior.