Disruptive Change in the Taxi Business: The Case of Uber

By Judd N. L. Cramer, Alan B. Krueger. 2016

834 citations recorded by the source corpus.

Subfields: Automotive Engineering, Economics and Econometrics, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/78e35485cdf04e31c47a5c02ef5e3d5542606e6b

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Citations in the corpus

Does ride-hailing increase or decrease vehicle kilometers traveled (VKT)? A simulation approach for Santiago de Chile (2020, methodology): “2019 Taylor & Francis Group, LLC drivers travel without passengers (Cramer & Krueger, 2016).”
Drivers of disruption? Estimating the Uber effect (2018, background): “, in terms of increasing the share of the time a driver spends with a passenger in the car) through improved driver-passenger matching (Cramer and Krueger, 2016).”
Conceptualizing the Gig Economy and Its Regulatory Problems (2020, background): “Some scholars avoid a general definition, instead focusing on a specific platform (Birgillito & Birgillito, 2018; De Groen et al., 2016; Green et al., 2018; Hara et al., 2018) or a specific sector (Cramer & Krueger, 2016).”
Dynamic pricing and matching in ride‐hailing platforms (2019, neutral): “For example, Uber oﬀers UberX (main product), UberPool (ride-sharing), Express Pool (ride-sharing with waiting and walking), UberXL (extra seats), and Uber Black (luxury service).”
Hail a cab or ride a bike? A travel time comparison of taxi and bicycle-sharing systems in New York City (2017, background): “Recently, several studies investigated the rise of app-based, on-demand ride services such as Uber and their impacts on taxi market and transportation systems (Sun and Edara, 2015; Cramer and Krueger 2016; Harding et al., 2016; Rayle et al., 2016).”
The Current and Future State of the Sharing Economy (2017, background): “Research has found that this measurement is significantly higher, both in terms of time and distance, for Uber drivers than it is for taxi drivers (Cramer & Krueger, 2016).”
Surge Pricing Solves the Wild Goose Chase (2017, background): “Ride-hailing applications (apps) like Uber and Ly introduced a matching technology and market design that recent research has found is more ecient than traditional taxi systems [2].”
The “sharing” economy: labor, inequality, and social connection on for‐profit platforms (2017, background): “One reason is that everywhere but New York, they have higher occupancy rates than conventional cabs (Cramer & Krueger, 2015), a result attributable to Uber's technology.”
Uber, Public Transit, and Urban Transportation Equity: A Case Study in New York City (2019, background): “…with the growing popularity of ridesourcing services, there have been an increasing number of studies and debates looking into the impacts of ridesourcing on urban efficiency, equity, and sustainability (Cramer and Krueger 2016; Schor 2016; Shaheen and Chan 2016; Frenken and Schor 2017; Nie 2017).”