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Where to go in Brooklyn: NYC Mobility Patterns from Taxi Rides

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Book cover Trends and Advances in Information Systems and Technologies (WorldCIST'18 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 745))

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Abstract

Urban centers attractive for local citizens commonly house local cuisine restaurants or commercial areas. Local authorities are interested in discovering pattern to explain why city residents go to different areas of the city at a given time of the day. We explore a massive dataset of taxi rides, 69 million records in New York city, to uncover attractive places for local residents when going to Brooklyn. First, we obtain the origin destination matrix for New York boroughs. Second, we apply a density based clustering algorithm to detect popular drop-off locations. Next, we automatically find the closest venue, using the Foursquare API, to the most popular destination in each cluster. Our methodology let us to uncover popular destinations in urban areas in any city for which taxi rides information is available.

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Notes

  1. 1.

    NYC Taxi and Limousine Commission (TLC): http://www.nyc.gov/html/tlc/html/about/trip_record_data.shtml.

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Authors and Affiliations

  1. Facultad de Ingeniería en Electricidad y Computación, Escuela Superior Politcnica del Litoral, ESPOL, Campus Gustavo Galindo Km 30.5 Vía Perimetral, P.O. Box 09-01-5863, Guayaquil, Ecuador

    Juan Carlos Garcia, Allan Avendaño & Carmen Vaca

  2. Universidad de Guayaquil, Guayaquil, Ecuador

    Juan Carlos Garcia, Allan Avendaño & Carmen Vaca

Authors
  1. Juan Carlos Garcia
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  2. Allan Avendaño
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  3. Carmen Vaca
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Corresponding author

Correspondence to Juan Carlos Garcia .

Editor information

Editors and Affiliations

  1. Departamento de Engenharia Informática, Universidade de Coimbra, Coimbra, Portugal

    Álvaro Rocha

  2. College of Engineering, The Ohio State University, Columbus, OH, USA

    Hojjat Adeli

  3. DSI/EEUM, Universidade do Minho, Guimarães, Portugal

    Luís Paulo Reis

  4. DIMES, Università della Calabria, Arcavacata di Rende, Italy

    Sandra Costanzo

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Garcia, J.C., Avendaño, A., Vaca, C. (2018). Where to go in Brooklyn: NYC Mobility Patterns from Taxi Rides. In: Rocha, Á., Adeli, H., Reis, L.P., Costanzo, S. (eds) Trends and Advances in Information Systems and Technologies. WorldCIST'18 2018. Advances in Intelligent Systems and Computing, vol 745. Springer, Cham. https://doi.org/10.1007/978-3-319-77703-0_20

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  • DOI: https://doi.org/10.1007/978-3-319-77703-0_20

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-77702-3

  • Online ISBN: 978-3-319-77703-0

  • eBook Packages: EngineeringEngineering (R0)

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