BEGIN:VCALENDAR VERSION:2.0 PRODID:researchseminars.org CALSCALE:GREGORIAN X-WR-CALNAME:researchseminars.org BEGIN:VEVENT SUMMARY:Julia Yan (UBC Sauder School of Business) DTSTART:20231102T210000Z DTEND:20231102T220000Z DTSTAMP:20260513T193650Z UID:SFUOR/24 DESCRIPTION:Title: P ricing Shared Rides\nby Julia Yan (UBC Sauder School of Business) as p art of PIMS-CORDS SFU Operations Research Seminar\n\nLecture held in ASB 1 0908.\n\nAbstract\nShared rides\, which pool individual riders into a sing le vehicle\, are essential for mitigating congestion and promoting more su stainable urban transportation. However\, major ridesharing platforms have long struggled to maintain a healthy and profitable shared rides product. To understand why shared rides have struggled\, we analyze procedures com monly used in practice to set static prices for shared rides\, and discuss their pitfalls. We then propose a pricing policy that is adaptive to matc hing outcomes\, dubbed match-based pricing\, which varies prices depending on whether a rider is dispatched alone or to what extent she is matched w ith another rider. Analysis on a single origin-destination setting reveals that match-based pricing is both profit-maximizing and altruistic\, simul taneously improving cost efficiency (i.e.\, the fraction of cost saved by shared rides relative to individual rides) and reducing rider payments rel ative to the optimal static pricing policy. These theoretical results are validated on a large-scale simulation with hundreds of origin-destinations from Chicago ridesharing data. The improvements in efficiency and reducti ons in payments are especially noticeable when costs are high and demand d ensity is low\, enabling healthy operations where they have historically b een most challenging.\n LOCATION:https://researchseminars.org/talk/SFUOR/24/ END:VEVENT END:VCALENDAR