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Annals of epidemiology v.27 no.1, 2017년, pp.67 - 75  

Quantifying spatial misclassification in exposure to noise complaints among low-income housing residents across New York City neighborhoods: a Global Positioning System (GPS) study

Duncan, D.T. ; Tamura, K. ; Regan, S.D. ; Athens, J. ; Elbel, B. ; Meline, J. ; Al-Ajlouni, Y.A. ; Chaix, B. ;
  • 초록  

    Purpose: To examine if there was spatial misclassification in exposure to neighborhood noise complaints among a sample of low-income housing residents in New York City, comparing home-based spatial buffers and Global Positioning System (GPS) daily path buffers. Methods: Data came from the community-based NYC Low-Income Housing, Neighborhoods and Health Study, where GPS tracking of the sample was conducted for a week (analytic n = 102). We created a GPS daily path buffer (a buffering zone drawn around GPS tracks) of 200 m and 400 m. We also used home-based buffers of 200 m and 400 m. Using these ''neighborhoods'' (or exposure areas), we calculated neighborhood exposure to noisy events from 311 complaints data (analytic n = 143,967). Friedman tests (to compare overall differences in neighborhood definitions) were applied. Results: There were differences in neighborhood noise complaints according to the selected neighborhood definitions (P


  • 주제어

    Spatial epidemiology .   Spatial misclassification .   Neighborhoods .   Geographic information systems .   Global positioning systems .   Low-income housing residents .   Noise complaint exposure.  

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