Matching and Dynamic Pricing in Ride-Hailing Platforms
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- Опубліковано 27 тра 2018
- Ride-hailing platforms like Uber, Lyft, Didi Chuxing, and Ola are transforming urban mobility by connecting riders with drivers via the sharing economy. These platforms have achieved explosive growth, in part by dramatically improving the efficiency of matching, and by calibrating the balance of supply and demand through dynamic pricing. We survey methods for matching and dynamic pricing in ride-hailing, and discuss machine learning and statistical approaches used to predict key inputs into those algorithms: demand, supply, and travel time in the road network.
The dynamic adjustment of prices ensures a reliable service for riders, and incentivizes drivers to provide rides at peak times and locations. Dynamic pricing is particularly important for ride-hailing, because pricing too low causes pickup ETAs to get very long, which reduces the efficiency of the platform and provides a poor experience for riders and drivers. Pricing and matching are intimately connected; we show that flexing wait time for riders during high-demand time periods can reduce the price variability caused by dynamic pricing.
See more at www.microsoft.com/en-us/resea... - Наука та технологія
I keep dreaming that one day this channel will allow me to see the slides for more than two seconds at a time.
were they expecting her to build uber in 1 hour? what an audience. can't even count the number of times she said "this is a very simple model"
Very informative. Thanks!
Quite Informative :) Thanks for sharing.
The audience is quite disastrous haha. Just wait for her to finish her presentation before asking
49:23 I remember a passenger and I were once pondering the possibility of the platform using us as guinea pigs for extracting traffic data on an unusual route. I wonder how often such a thing might be done, if at all.
35:19 to 35:52 Platforms have to pay for the insurance when drivers are doing longer en-route distances to pickup (dead mileage), and the drivers pay more for gasoline and wear-and-tare on their vehicle.
For all the questions that the audience asked, they were dead quiet on the "surge multiplier" concept (min. 56). Basically, she knew (judging by her look) that no one understood it. LOL
Informative talk.
I had a feeling this problem got overcomplicated while listening to it.
Can someone share the link for the paper castillo wrote?
where are slides
nice presentation, and way to much interruptions from the audience
Yeah, I think its better to accept questions at the end of the presentation.
While the speaker did a great job giving a sense of their operations I felt some novices might find it hard to follow along. I found this video to be a rather little better at dwelling on the basics. ua-cam.com/video/-EnghNB8dSE/v-deo.html
Can you at least publish the slides?
The flow of the speech could be better .But thanks for sharing.
lmao, the audience at the front ask the worst questions
Obnoxious audience
Im sure she is knowledgeable in her field but Uber Maps is much too far behind Google Maps. There really needs to be a change at Uber
I mean they came to butcher her presentation. LOL, I think she was nervous, she knows the questions but the answers are not convincing enough.
Microsoft is one of the investors in Uber (or was). So...LOL
I felt bead for her, not having exact answers to the questions from audience. T_T I guess if there were other people with her, they might have helped with answering tho. Haha
I fellt the same too. She is not quite conversant with what she is presenting.
Guys, I want to see the presentation rather than the presenter.
Uber has never been able to be profitable.