Our paper, titled “A Data-Driven Approach to Uncovering the Charging Demand of Electrified Ride-Hailing Services,” has been published in Transportation Research Part D: Transport and Environment. This work is led by Dr. Xiaotong Sun‘s team at HKUST Guangzhou.
Electric ride-hailing vehicles exhibit distinct charging patterns compared to privately-owned electric vehicles due to their intensive daily usage and unique service characteristics. In this study, we analyze trip data from 96,716 ride-hailing vehicles in Shanghai to develop a data-driven approach for forecasting spatially varying potential charging demand. [URL]