The trade-off between privacy and geographic data resolution. a case of GPS trajectories combined with the social survey results

Sila-Nowicka, K. and Thakuriah, P. (2016) The trade-off between privacy and geographic data resolution. a case of GPS trajectories combined with the social survey results. In: XXIII ISPRS Congress, Prague, Czech Republic, 12-19 Jul 2016, pp. 535-542. (doi: 10.5194/isprs-archives-XLI-B2-535-2016)

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Abstract

Trajectory datasets are being generated in great volumes due to high levels of Global Positioning System (GPS) and Location-Based Services (LBS) use. Such data are increasingly being collected for a variety of academic, industrial and recreational reasons, sometimes together with other strands of personal data such as socio-demographic, social survey and other sensor data carried/worn by the person. In such cases, not only are movement data of a person available but also data on potentially a wide variety of other personal and household attributes. Making such person-level data available for analytics opens up the possibility of new directions in analysing, studying and understanding human behaviour, which is typically not possible with GPS trajectory datasets alone. At the same time, the GPS data should be released in a privacy-preserving way that takes into account the possibility of re-identification of individuals from quasi-identifiers available from other data strands. Deidentification in these strands may be risked due to uniquely identifiable information on significant locations and other spatial behaviours and choices detected from GPS trajectories. Using a multimodal dataset that includes a GPS archive from 358 individuals, and by considering a number of alternative privacy-enhancing approaches, we look at the potential for privacy preservation when personally-identifiable data are available from multiple data strands, for the specific purpose of data to be released for transport research.

Item Type:Conference Proceedings
Keywords:GPS trajectories, privacy, locational privacy, geoprivacy, anonymization, survey data.
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Thakuriah, Professor Piyushimita and Sila-Nowicka, Ms Katarzyna
Authors: Sila-Nowicka, K., and Thakuriah, P.
Subjects:G Geography. Anthropology. Recreation > G Geography (General)
Q Science > Q Science (General)
College/School:College of Social Sciences > School of Social and Political Sciences > Urban Studies
Journal Name:ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
ISSN:1682-1750
Published Online:08 June 2016
Copyright Holders:Copyright © 2016 The Authors
First Published:First published in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B2: 535-542
Publisher Policy:Reproduced under a Creative Commons License

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
651921Urban Big Data Research CentrePiyushimita ThakuriahEconomic & Social Research Council (ESRC)ES/L011921/1SPS - URBAN STUDIES