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Privacy in Transport? Exploring Perceptions of Location Privacy Through User Segmentation

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Title:Privacy in Transport? Exploring Perceptions of Location Privacy Through User Segmentation
Authors:Becker, Ingolf
Posner, Rebecca
Islam, Tasmina
Ekblom, Paul
Borrion, Hervé
show 2 moreMcguire, Michael
Li, Shujun
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Keywords:Location Intelligence Research
connected transport
location privacy
mixed methods
privacy types
show 1 moreuser segmentation
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Date Issued:05 Jan 2021
Abstract:Unanticipated accumulation and dissemination of accurate location information flows is the latest iteration of the privacy debate. This mixed-methods research contributes a grounded understanding of risk perceptions, enablers and barriers to privacy preserving behaviour in a cyber-physical environment. We conducted the first representative survey on internet privacy concerns, cyber and physical risk taking, privacy victimisation, usage of location sharing apps and transport choices in the UK with 466 participants. The responses segregated participants into four distinct, novel clusters (cyber risk takers, physical risk takers, transport innovators, and risk abstainers) with cross-validated prediction accuracy of 92%. In the second part of the study, we qualitatively explored these clusters through 12 homogeneous focus groups with 6 participants each. The predominant themes of the groups matched their clusters with little overlap between the groups. The differences in risk perception and behaviours varied greatly between the clusters. Future transport systems, apps and websites that rely on location data therefore need a more personalised approach to information provision surrounding location sharing. Failing to recognise these differences could lead to reduced data sharing, riskier sharing behaviour or even total avoidance of new forms of technology in transport.
Pages/Duration:10 pages
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
Appears in Collections: Location Intelligence Research

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