Green Cabs vs. Uber in New York City

Lasse Korsholm Poulsen, Daan Dekkers, Nicolaas Wagenaar, Wesley Snijders, Ben Lewinsky, Raghava Rao Mukkamala, Ravi Vatrapu

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningpeer review


    This paper reports on the process and outcomes of big data analytics of ride records for Green cabs and Uber in the outer boroughs of New York City (NYC), USA. Uber is a new entrant to the taxi market in NYC and is rapidly eating away market share from the NYC Taxi & Limousine Commission's (NYCTLC) Yellow and Green cabs. The problem investigated revolves around where exactly Green cabs are losing market share to Uber outside Manhattan and what, if any, measures can be taken to preserve market share? Two datasets were included in the analysis including all rides of Green cabs and Uber respectively from April-September 2014 in New York excluding Manhattan and NYC's two airports. Tableau was used as the visual analytics tool, and PostgreSQL in combination with PostGIS was used as the data processing engine. Our findings show that the performance of Green cabs in isolated zip codes differ significantly, and that Uber is growing faster than Green cabs in general and especially in the areas close to Manhattan. We discuss meaningful facts from the analysis, outline actionable insights, list valuable outcomes and mention some of the study limitations.
    TitelProceedings of the 2016 IEEE International Congress on Big Data. BigData Congress 2016
    RedaktørerCalton Pu, Geoffrey Fox, Ernesto Damiani
    Antal sider8
    UdgivelsesstedLos Alamitos, CA
    ISBN (Trykt)9781509026227
    ISBN (Elektronisk)9781509026227
    StatusUdgivet - 2016
    Begivenhed5th IEEE International Congress on Big Data: BigData Congress 2016 - San Francisco, CA, USA
    Varighed: 27 jun. 20162 jul. 2016
    Konferencens nummer: 5


    Konference5th IEEE International Congress on Big Data
    BySan Francisco, CA


    • Uber
    • Big social data
    • Social set analysis
    • Social business
    • Visual analytics
    • Geo-spatial
    • GIS
    • Taxi
    • Green cabs