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Sensitivity of location-sharing services data: evidence from American travel pattern

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  • Zhenhua Chen
  • Laurie Schintler

Abstract

This paper investigates sensitivity of location-sharing services (LSS) data with a focus on understanding American daily travel pattern using three LSS datasets: Brightkite, Gowalla and Foursquare. Through a systematic data refining process, person miles of travel and daily person trip are created and compared both among themselves and with the US National Household Travel Survey (NHTS) of 2009. The results suggest that LSS data provides a better estimation of person miles of travel than daily person trip on average. In addition, the comparison with the NHTS reveals that LSS data tends to have a better reflection of daily travel behavior among metro areas with high population density. Copyright Springer Science+Business Media New York 2015

Suggested Citation

  • Zhenhua Chen & Laurie Schintler, 2015. "Sensitivity of location-sharing services data: evidence from American travel pattern," Transportation, Springer, vol. 42(4), pages 669-682, July.
    • Handle: RePEc:kap:transp:v:42:y:2015:i:4:p:669-682
    DOI: 10.1007/s11116-015-9596-z
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    References listed on IDEAS

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    1. Anastasios Noulas & Salvatore Scellato & Renaud Lambiotte & Massimiliano Pontil & Cecilia Mascolo, 2012. "A Tale of Many Cities: Universal Patterns in Human Urban Mobility," PLOS ONE, Public Library of Science, vol. 7(5), pages 1-10, May.
    2. Marta C. González & César A. Hidalgo & Albert-László Barabási, 2009. "Understanding individual human mobility patterns," Nature, Nature, vol. 458(7235), pages 238-238, March.
    3. Laurie A Schintler & Rajendra Kulkarni & Kingsley Haynes & Roger Stough, 2014. "Sensing ‘socio-spatio’ interaction and accessibility from location-sharing services data," Chapters, in: Ana Condeço-Melhorado & Aura Reggiani & Javier Gutiérrez (ed.), Accessibility and Spatial Interaction, chapter 5, pages 92-110, Edward Elgar Publishing.
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    Cited by:

    1. Zahnow, Renee & Abewickrema, Wanuji, 2023. "Examining regularity in vehicular traffic through Bluetooth scanner data: Is the daily commuter the regular road user?," Journal of Transport Geography, Elsevier, vol. 109(C).
    2. Schintler, Laurie A. & Fischer, Manfred M., 2018. "Big Data and Regional Science: Opportunities, Challenges, and Directions for Future Research," Working Papers in Regional Science 2018/02, WU Vienna University of Economics and Business.

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