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Photowalking the City: Comparing Hypotheses About Urban Photo Trails on Flickr

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Book cover Social Informatics (SocInfo 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9471))

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Abstract

Understanding human movement trajectories represents an important problem that has implications for a range of societal challenges such as city planning and evolution, public transport or crime. In this paper, we focus on geo-temporal photo trails from four different cities (Berlin, London, Los Angeles, New York) derived from Flickr that are produced by humans when taking sequences of photos in urban areas. We apply a Bayesian approach called HypTrails to assess different explanations of how the trails are produced. Our results suggest that there are common processes underlying the photo trails observed across the studied cities. Furthermore, information extracted from social media, in the form of concepts and usage statistics from Wikipedia, allows for constructing explanations for human movement trajectories.

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Author information

Authors and Affiliations

  1. University of Wuerzburg, Wuerzburg, Germany

    Martin Becker & Andreas Hotho

  2. GESIS - Leibniz Institute for the Social Sciences, Mannheim, Germany

    Philipp Singer, Florian Lemmerich & Markus Strohmaier

  3. Graz University of Technology, Graz, Austria

    Denis Helic

  4. University of Koblenz-Landau, Mainz, Germany

    Markus Strohmaier

Authors
  1. Martin Becker
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  2. Philipp Singer
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  3. Florian Lemmerich
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  4. Andreas Hotho
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  5. Denis Helic
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  6. Markus Strohmaier
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Corresponding author

Correspondence to Martin Becker .

Editor information

Editors and Affiliations

  1. Microsoft Research Asia, Beijing, China

    Tie-Yan Liu

  2. Singapore Management University, Singapore, Singapore

    Christie Napa Scollon

  3. Tsinghua University, Beijing, China

    Wenwu Zhu

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Becker, M., Singer, P., Lemmerich, F., Hotho, A., Helic, D., Strohmaier, M. (2015). Photowalking the City: Comparing Hypotheses About Urban Photo Trails on Flickr. In: Liu, TY., Scollon, C., Zhu, W. (eds) Social Informatics. SocInfo 2015. Lecture Notes in Computer Science(), vol 9471. Springer, Cham. https://doi.org/10.1007/978-3-319-27433-1_16

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  • DOI: https://doi.org/10.1007/978-3-319-27433-1_16

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-319-27433-1

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