buck2.pdf 2,25MB
1000 Titel
  • Anonymisation of address coordinates for microlevel analyses of the built environment: A simulation study
1000 Autor/in
  1. Buck, Christoph |
  2. Dreger, Steffen |
  3. Pigeot, Iris |
1000 Erscheinungsjahr 2015
1000 Art der Datei
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2015-03-09
1000 Erschienen in
1000 Quellenangabe
  • 5(3):e006481
1000 Sammlung
1000 Copyrightjahr
  • 2015
1000 Lizenz
1000 Verlagsversion
  • |
  • |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • BACKGROUND: Data privacy is a major concern in spatial epidemiology because exact residential locations or parts of participants’ addresses such as street or zip codes are used to perform geospatial analyses. To overcome this concern, different levels of aggregation such as census districts or zip code areas are mainly used, though any spatial aggregation leads to a loss of spatial variability. For the assessment of urban opportunities for physical activity that was conducted in the IDEFICS (Identification and prevention of dietary- and lifestyle-induced health effects in children and infants) study, macrolevel analyses were performed, but the use of exact residential addresses for micro-level analyses was not permitted by the responsible office for data protection. We therefore implemented a spatial blurring to anonymise address coordinates depending on the underlying population density. METHODS: We added a standard Gaussian distributed error to individual address coordinates with the variance depending on the population density and on the chosen k-anonymity. 1000 random point locations were generated and repeatedly blurred 100 times to obtain anonymised locations. For each location 1 km network-dependent neighbourhoods were used to calculate walkability indices. Indices of blurred locations were compared to indices based on their sampling origins to determine the effect of spatial blurring on the assessment of the built environment. RESULTS: Spatial blurring decreased with increasing population density. Similarly, mean differences in walkability indices also decreased with increasing population density. In particular for densely-populated areas with at least 1500 residents per km², differences between blurred locations and their sampling origins were small and did not affect the assessment of the built environment after spatial blurring. CONCLUSIONS: This approach allowed the investigation of the built environment at a microlevel using individual network-dependent neighbourhoods, while ensuring data protection requirements. Minor influence of spatial blurring on the assessment of walkability was found that slightly affected the assessment of the built environment in sparsely-populated areas.
1000 Freie Schlagwörter
  • data protection
  • IDEFICS study
  • spatial blurring
  • built environment
  • geocoding
  • walkability
1000 Fachgruppe
  1. Medizin |
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
1000 Förderer
  1. German Research Foundation (DFG)
1000 Fördernummer
  1. PI 345/7-1
1000 Förderprogramm
  1. -
1000 Dateien
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6405074.rdf
1000 Erstellt am 2017-10-19T13:02:20.479+0200
1000 Erstellt von 122
1000 beschreibt frl:6405074
1000 Bearbeitet von 122
1000 Zuletzt bearbeitet Tue May 29 11:58:18 CEST 2018
1000 Objekt bearb. Tue May 29 11:58:18 CEST 2018
1000 Vgl. frl:6405074
1000 Oai Id
  1. |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

View source