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Scientific Article details

Title Privacy concerns in smart cities
ID_Doc 41656
Authors van Zoonen, L
Title Privacy concerns in smart cities
Year 2016
Published Government Information Quarterly, 33, 3
DOI 10.1016/j.giq.2016.06.004
Abstract In this paper a framework is constructed to hypothesize if and how smart city technologies and urban big data produce privacy concerns among the people in these cities (as inhabitants, workers, visitors, and otherwise). The framework is built on the basis of two recurring dimensions in research about people's concerns about privacy: one dimensions represents that people perceive particular data as more personal and sensitive than others, the other dimension represents that people's privacy concerns differ according to the purpose for which data is collected, with the contrast between service and surveillance purposes most paramount. These two dimensions produce a 2 x 2 framework that hypothesizes which technologies and data-applications in smart cities are likely to raise people's privacy concerns, distinguishing between raising hardly any concern (impersonal data, service purpose), to raising controversy (personal data, surveillance purpose). Specific examples from the city of Rotterdam are used to further explore and illustrate the academic and practical usefulness of the framework It is argued that the general hypothesis of the framework offers clear directions for further empirical research and theory building about privacy concerns in smart cities, and that it provides a sensitizing instrument for local governments to identify the absence, presence, or emergence of privacy concerns among their citizens. (C) 2016 The Author. Published by Elsevier Inc.
Author Keywords Privacy concems; Smart city; City government; Big data; Open data
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Social Science Citation Index (SSCI)
EID WOS:000385057300011
WoS Category Information Science & Library Science
Research Area Information Science & Library Science
PDF https://doi.org/10.1016/j.giq.2016.06.004
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