We fetched six months worth of data (approximately 9.7 million records) of Uber rides in New York City ranging from January 2015 to June 2015 from GitHub. We add an exogenous factor weather to this analysis to see how it impacts the changes in the number of trips. In this paper, we attempt to estimate the number of trips per borough on a daily basis in New York City. This gets more complicated with changes in weather. It's a very difficult task to forecast the number of riders at different locations in a city at different points in time. But, there are times when customers are dissatisfied because of a shortage of Uber vehicles, which ultimately leads to Uber surge pricing. Uber has changed the face of taxi ridership, making it more convenient and comfortable for riders.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |