Print

Green Cabs vs. Uber in New York City

Publication: Research - peer-reviewArticle in proceedings

DOI

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.

Publication information

Original languageEnglish
Title of host publicationProceedings of the 2016 IEEE International Congress on Big Data. BigData Congress 2016
EditorsCalton Pu, Feoffrey Fox, Ernesto Damiani
Place of PublicationLos Alamitos, CA
PublisherIEEE
Publication date2016
Pages222–229
ISBN (print)9781509026227
DOIs
StatePublished - 2016
Event - San Francisco, CA, United States

Conference

Conference5th IEEE International Congress on Big Data
Nummer5
LandUnited States
BySan Francisco, CA
Periode27/06/201602/07/2016
Internetadresse

Bibliographical note

CBS Library does not have access to the material

    Keywords

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

ID: 45496092