Air pollution perception bias: Mismatch between air pollution exposure and perception of air quality in real-time contexts.

Activity/travel contexts Ecological momentary assessment (EMA) Perception of air pollution Real-time PM(2.5) exposure Social contexts Space-time contexts

Journal

Health & place
ISSN: 1873-2054
Titre abrégé: Health Place
Pays: England
ID NLM: 9510067

Informations de publication

Date de publication:
Nov 2023
Historique:
received: 30 05 2023
revised: 22 09 2023
accepted: 25 09 2023
medline: 5 12 2023
pubmed: 20 10 2023
entrez: 19 10 2023
Statut: ppublish

Résumé

Air pollution perception biases hinder the public's awareness of actual air quality. Past studies that examined the association and mismatch between actual and perceived air quality neglected individuals' dynamic exposure and their activity, travel, spatial, temporal, and social contexts. Using data collected with real-time air pollutant sensors and ecological momentary assessment (EMA), this study investigated the association and mismatch between momentary air pollution exposure and perceived air quality. It also examined how activity type, travel mode, spatial and temporal contexts, and social factors contribute to this disparity. The results show that exposure to air pollution is significantly higher in residential areas (1.777 μg/m

Identifiants

pubmed: 37856949
pii: S1353-8292(23)00166-1
doi: 10.1016/j.healthplace.2023.103129
pii:
doi:

Substances chimiques

Air Pollutants 0
Particulate Matter 0

Types de publication

Journal Article

Langues

eng

Pagination

103129

Informations de copyright

Copyright © 2023 Elsevier Ltd. All rights reserved.

Auteurs

Wanying Song (W)

Institute of Space and Earth Information Science, Fok Ying Tung Remote Sensing Science Building, The Chinese University of Hong Kong, Hong Kong Special Administrative Region of China. Electronic address: wysong@link.cuhk.edu.hk.

Mei-Po Kwan (MP)

Institute of Space and Earth Information Science, Fok Ying Tung Remote Sensing Science Building, The Chinese University of Hong Kong, Hong Kong Special Administrative Region of China; Department of Geography and Resource Management, Wong Foo Yuan Building, The Chinese University of Hong Kong, Hong Kong Special Administrative Region of China; Institute of Future Cities, Wong Foo Yuan Building, The Chinese University of Hong Kong, Hong Kong Special Administrative Region of China. Electronic address: mpkwan@cuhk.edu.hk.

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Classifications MeSH