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

the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences

THE TRADE-OFF BETWEEN PRIVACY AND GEOGRAPHIC DATA RESOLUTION. A CASE OF GPS TRAJECTORIES COMBINED WITH THE SOCIAL SURVEY RESULTS