uber research paper pdf

Abstract and Figures. Uber Technologies, Inc. is an American multinational transportation network company (TNC) offering services that include peer-to-peer ridesharing, ride service hailing, food ...

At our request, the Uber Research staff kindly provided us with statistics on f and F based on Uber's administrative database for Uber drivers in the five cities for which we were able to collect data on traditional taxi drivers. We focus on UberX drivers because that is the largest and fastest growing category of Uber drivers. 6. Work time H. i

This paper examines the impacts of the flagship of the sharing economy—Uber—on workers employed in conventional taxi services. Our analysis exploits the stag- ... First, a series of recent papers have documented the benefits of Uber. Estimating the demand curve for Uber, Cohen etal.(2016) has calculated that the consumer surplus ...

1 INTRODUCTION. A lot of real-time data is generated within Uber's data centers. This data originates in diferent sources such as end user applications (driver/rider/eater) or the backend microservices. Some of this data consists of application or system logs continuously emitted as part of day to day operation.

Reflecting a broader trend with businesses in the new gig economy, our desk research of publicly available material on Uber also suggests that Uber appears to be striving to claim a new category label that marks the experience of ordering and taking an Uber ride ("hailing a ride") as distinct, and as in effect, in a class of its own.

5 Dr. Hall is the Head of Policy Research at Uber. Professor Krueger did this paper under contract with Uber, but retained full editorial discretion. 4 trust in exchange, which makes use of buyer ...

Using almost 50 million individual-level observations and a regression discontinuity design, we estimate that in 2015 the UberX service generated about $2.9 billion in consumer surplus in the four U.S. cities included in our analysis. For each dollar spent by consumers, about $1.60 of consumer surplus is generated.

Working Paper 22083. DOI 10.3386/w22083. Issue Date March 2016. In most cities, the taxi industry is highly regulated and utilizes technology developed in the 1940s. Ride sharing services such as Uber and Lyft, which use modern internet-based mobile technology to connect passengers and drivers, have begun to compete with traditional taxis. This ...

The contribution of this research is its scrutiny of the user behaviors of Uber taxi applications. Ultimately, this research aims to inform taxi application service providers to upgrade their service level, which might make service providers more competitive and provide customers with better services. 2. Theoretical Foundation and Research ...

The author concludes that Uber is not a disruptive innovation but has caused digital disruption in the taxi industry. It has been stated that further research to study the impact on Uber with the advent of new competition in the ride sharing industry needs to be conducted. Keywords: Clayton Christensen, Disruptive Innovation, Ride sharing, Uber 1.

In this paper, we study the characteristics, labor supply and earnings of workers who provide car rides using the Uber platform. Drivers who partner with Uber (Uber refers to them as "driver-partners") provide transportation services to customers requesting rides via Uber's app on their smartphones or other devices.

On behalf of Uber, I am excited to announce that we've launched the Uber Research Publications Site, a portal dedicated to sharing our company's diverse contributions with the broader research community. We encourage you to explore the site and learn more about the research we're doing at Uber.

INNOVATION: THE CASE OF UBER QUYNH DOAN Senior Student at RMIT University E-mail: [email protected], [email protected] Abstract - This paper presents a case study of Uber regards to innovation process and management. Firstly, it studied a previous failure in which Uber failed to be innovative enough.

In this paper we exploit the remarkable richness of the data generated by Uber, and in particular its low-cost product UberX, to generate consumer surplus estimates that require less restrictive identifying assumptions than any other prior research that we are aware of. 2

The paper explains the working of an Uber dataset, which contains data produced by Uber for New York City. Uber is defined as a P2P platform. The platform links you to drivers who can take you to your destination. The dataset includes primary data on Uber pickups with details including the date, time of the ride as well as longitude-latitude information, Using the information, the paper ...

Daily are somewhat smaller with a median of $9.02. Weekly shocks are the smallest but still appreciable with a median of $6.76. This suggests that the drivers in our sample experience large shifts in reservation wage that are likely not predictable and, thus, may place a large value on a flexible work arrangement.

As can be seen in Panel A of Table 7, for weekly lease rates in the range of the 2010 Boston lease cap of $700, the average compensation needed to make a driver indifferent between Uber and Taxi ranges from $166 with L = 600 and a wage difference of 50%, to $710 when L = 800 and the wage gap is only 15%.