Spatio-Temporal Pricing for Ridesharing Platforms
نویسندگان
چکیده
Ridesharing platforms have radically changed the way people get around in urban areas, but there remain challenges undercutting mission of “making transportation as reliable running water.” A particular concern is that drivers strategize: calling riders to find out their destinations and canceling trips are not worthwhile, declining chasing surge prices neighboring going off-line before large events will end anticipation a price increase. In this work, we show such strategic behaviors symptoms inefficiencies pricing dispatching rules governing today's platforms. We propose Spatio-Temporal Pricing mechanism, which solves for welfare-optimal matching trips, sets appropriately smooth both space time best thing do accept any proposed trip dispatch. This demonstrates ridesharing can succeed optimally orchestrating providing transpiration riders, while still leaving with flexibility decide how work.
منابع مشابه
Spatio-Temporal Pricing for Ridesharing Platforms
Ridesharing platforms match drivers and riders to trips, using dynamic prices to balance supply and demand. A challenge is to set prices that are appropriately smooth in space and time, in the sense that drivers will choose to accept their dispatched trips, rather than drive to another area or wait for higher prices or a better trip. We introduce the Spatio-Temporal Pricing (STP) mechanism. The...
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ژورنال
عنوان ژورنال: Operations Research
سال: 2022
ISSN: ['1526-5463', '0030-364X']
DOI: https://doi.org/10.1287/opre.2021.2178