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Forecasting in the Platform Economy: The Uber Way |
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EXCERPTS |
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Uber started with the simple idea of a person being able to get a cab using a phone. The idea for the company germinated in 2008 in Paris in the minds of Travis Kalanick and Garrett Camp. In 2009, they launched Uber in San Francisco. Uber started as UberCab and then changed its name to Uber. Uber had its Initial Public Offering (IPO) on May 9, 2019, and raised about US$8.1 billion through its IPO. .. |
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Uber worked as a connector (middleman), connecting the person looking for a cab with a cab driver looking for a rider. It offered various types of vehicles (cars) from premium vehicles to low-cost daily purpose vehicles which cost less than normal taxis. Each type of car had a different fare. Apart from cars, Uber also had helicopters, boats, bike pick up services, and ice cream truck delivery services.. |
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Uber often used Time Series Forecasting . It also took the help of extreme event forecasting. Extreme event forecasting was for those rare occasions such as a big festival or a catastrophe during which the demand could be extremely high. As scale was very important to Uber, it needed accurate predictions across all its markets... |
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1. Can we use the downloaded data sets as it is? |
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Exhibit I:Diagrammatical Representation of Uber’s Business Model Exhibit II: Uber Trips Data for New York City, April 2014 (Partial Data) Exhibit III: Bike Sharing Data of New York City, 2014 (Partial Data) Exhibit IV: Subway Turnstiles Data of New York City for April 2014 (Partial Data)
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