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International Conference on Applied Human Factors and Ergonomics

AHFE 2017: Advances in Cross-Cultural Decision Making pp 29–40Cite as

Geo-Tagged Social Media Data as a Proxy for Urban Mobility

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 610))

Abstract

We evaluate the utility of geo-tagged Twitter data for inferring a network of human mobility in the New York City through a quantitative and qualitative comparison of the Twitter-based mobility network during business hours versus the ground-truth network based on official statistics. The analysis includes a comparison of the structure of the city inferred through community detection in both networks, comparison of the models of human mobility fitted to both networks, as well as the comparison of the dynamic population distribution across the city presented by the networks. Once the utility of the Twitter data is verified, the availability of an additional temporal component in it can be seen as bringing additional value to numerous urban applications. The data visualization web application is constructed to illustrate one of the examples of such applications.

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Authors and Affiliations

  1. Center for Urban Science and Progress, New York University, Brooklyn, NY, USA

    Cheng Qian, Philipp Kats, Constantine Kontokosta & Stanislav Sobolevsky

  2. Tandon School of Engineering, New York University, Brooklyn, NY, USA

    Cheng Qian

  3. Lockheed Martin Advanced Technology Laboratories, Cherry Hill, NJ, USA

    Sergey Malinchik, Mark Hoffman & Brian Kettler

  4. Department of Civil and Urban Engineering, New York University, Brooklyn, NY, USA

    Constantine Kontokosta

Authors
  1. Cheng Qian
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  2. Philipp Kats
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  3. Sergey Malinchik
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  4. Mark Hoffman
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  5. Brian Kettler
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  6. Constantine Kontokosta
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  7. Stanislav Sobolevsky
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Corresponding author

Correspondence to Stanislav Sobolevsky .

Editor information

Editors and Affiliations

  1. Advanced Technology Labs, Lockheed Martin, Orlando, Florida, USA

    Mark Hoffman

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Qian, C. et al. (2018). Geo-Tagged Social Media Data as a Proxy for Urban Mobility. In: Hoffman, M. (eds) Advances in Cross-Cultural Decision Making. AHFE 2017. Advances in Intelligent Systems and Computing, vol 610. Springer, Cham. https://doi.org/10.1007/978-3-319-60747-4_4

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  • DOI: https://doi.org/10.1007/978-3-319-60747-4_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60746-7

  • Online ISBN: 978-3-319-60747-4

  • eBook Packages: EngineeringEngineering (R0)

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