Uber and other ride-sourcing companies rely on multiple types of data to optimize service delivery, and they often use Internet-based platforms to match passengers and drivers through smartphone data. However, this type of supply–demand matching remains challenging due to the need to balance speed, revenue, and quality. HKUST’s Guodong Lyu and colleagues aim
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