Ridesharing with Driver Location Preferences

30 May 2019Duncan Rheingans-YooScott Duke KominersHongyao MaDavid C. Parkes

We study revenue-optimal pricing and driver compensation in ridesharing platforms when drivers have heterogeneous preferences over locations. If a platform ignores drivers' location preferences, it may make inefficient trip dispatches; moreover, drivers may strategize so as to route towards their preferred locations... (read more)

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