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

Zhenhua Chen () and Laurie Schintler

Transportation, 2015, vol. 42, issue 4, 669-682

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

Keywords: Location-sharing services data; American travel behavior; Personal miles of travel; Daily person trips; National Household Travel Survey (search for similar items in EconPapers)
Date: 2015
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DOI: 10.1007/s11116-015-9596-z

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