Quantifying spatial misclassification in exposure to noise complaints among low-income housing residents across New York City neighborhoods: a Global Positioning System (GPS) study - Sorbonne Université Accéder directement au contenu
Article Dans Une Revue Annals of Epidemiology Année : 2017

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

Résumé

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 homebased spatial buffers and Global Positioning Systems (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-meters and 400-meters. We also used home-based buffers of 200-meters and 400-meters. 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<0.05). For example, the mean neighborhood noise complaint count was 1196 per square kilometer for the 400-meter home-based and 812 per square kilometer for the 400-meter activity space buffer, illustrating how neighborhood definition influences the estimates of exposure to neighborhood noise complaints.
Fichier principal
Vignette du fichier
749.pdf (483.43 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03882262 , version 1 (02-12-2022)

Identifiants

Citer

Dustin T Duncan, Kosuke Tamura, Seann D Regan, Jessica Athens, Brian Elbel, et al.. Quantifying spatial misclassification in exposure to noise complaints among low-income housing residents across New York City neighborhoods: a Global Positioning System (GPS) study. Annals of Epidemiology, 2017, 27 (1), pp.67-75. ⟨10.1016/j.annepidem.2016.09.017⟩. ⟨hal-03882262⟩
11 Consultations
13 Téléchargements

Altmetric

Partager

Gmail Mastodon Facebook X LinkedIn More