DOI: 10.36347/sjebm.2020.v07i11.005

Pages: 406-413

Nowadays, Uber has become a very common means of transportation worldwide which connects passengers and drivers through a smartphone application. This study investigates the real scenario of the war between Uber and regular taxi service in Dhaka city to make prediction about the future of apps based ride sharing services. Popular statistical methods are adopted to make the analyses fruitful. The service quality of Uber and taxi is compared through principal component analysis and found that Uber has better services, ensuring safety through effective information dissemination. Also, Uber provides convenience through technological advancements in booking and GPS, and comfort by supplying new cars and performance conscious drivers. The binary logistic regression model gives evidence that the female and the passengers having own car/bike have less tendency to use Uber, while the higher educated persons use Uber most. It is also observed that the Uber users face less transportation problems than the taxi users. The study has found that there is a matter of satisfaction among the passengers who use Uber. The results that are obtained in this study from the statistical analyses can be used to detect the services that have low ratings, and also it will be able to give solutions to the most common problems faced by riders. Eventually, the study findings may provide an intimation about the future of Uber in Dhaka city, as well as in Bangladesh.