Air pollution and motor vehicle collisions in New York city.


Journal

Environmental pollution (Barking, Essex : 1987)
ISSN: 1873-6424
Titre abrégé: Environ Pollut
Pays: England
ID NLM: 8804476

Informations de publication

Date de publication:
15 Nov 2023
Historique:
received: 20 05 2023
revised: 17 09 2023
accepted: 19 09 2023
medline: 26 10 2023
pubmed: 22 9 2023
entrez: 21 9 2023
Statut: ppublish

Résumé

Road traffic accidents are a pervasive feature of everyday life, killing 36,500 people, injuring 4.5 million and, overall, generating costs to the American society of $340 billion in 2019. Understanding the underlying factors can improve the design of prevention strategies. We use all road traffic collisions in New York City between 2013 and 2021 (N = 1,269,600) and match each individual collision to the nearest weather and air pollution station. Our study uses highly disaggregated data using an hourly frequency of collisions at a fine spatial level incorporating various air pollutants and weather factors. We employ an instrumental variable approach using temperature inversions to provide exogenous variation in air pollution addressing endogeneity and measurement error concerns. We find that higher concentrations of carbon monoxide (CO) and sulfur dioxide (SO

Identifiants

pubmed: 37734635
pii: S0269-7491(23)01597-X
doi: 10.1016/j.envpol.2023.122595
pii:
doi:

Substances chimiques

Particulate Matter 0
Air Pollutants 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

122595

Informations de copyright

Copyright © 2023 The Authors. Published by Elsevier Ltd.. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Nadezhda V Baryshnikova (NV)

School of Economics, University of Adelaide, 10 Pulteney Street, Adelaide, South Australia, 5005, Australia.

Dennis Wesselbaum (D)

Department of Economics, University of Otago, 60 Clyde Steet, Dunedin, 9054, New Zealand. Electronic address: dennis.wesselbaum@otago.ac.nz.

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Classifications MeSH