The impacts of road traffic on urban air quality in Jinan based GWR and remote sensing

Abstract Traffic congestion and smog are hot topics in recent years. This study analyzes the impacts of road traffic characteristic parameters on urban air quality quantitatively based on aerosol optical thickness (AOD) and geographical weighted regression (GWR) models, including the road network de...

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Autores principales:	Qi Wang, Haixia Feng, Haiying Feng, Yue Yu, Jian Li, Erwei Ning
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/182e85c84544404eb47f17efde30494b
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spelling	oai:doaj.org-article:182e85c84544404eb47f17efde30494b2021-12-02T16:06:44ZThe impacts of road traffic on urban air quality in Jinan based GWR and remote sensing10.1038/s41598-021-94159-82045-2322https://doaj.org/article/182e85c84544404eb47f17efde30494b2021-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-94159-8https://doaj.org/toc/2045-2322Abstract Traffic congestion and smog are hot topics in recent years. This study analyzes the impacts of road traffic characteristic parameters on urban air quality quantitatively based on aerosol optical thickness (AOD) and geographical weighted regression (GWR) models, including the road network density, road area occupancy, intersection number, and bus network density as main factors. There are some major research findings. Firstly, there exists a strong positive correlation between the peak congestion delay index (PCDI) and air quality, the correlation has R2 values of up to 0.4962 (R 0.70). Secondly, GWR refines the local spatial changes in the AOD and the road parameters, and the correlation R2 based GWR model all above 0.6. The correlation between AOD and the road area occupancy was the highest, and the correlations with the bus network density and the intersections number were higher than that with the road network density. Thus, bus route planning, bus emission reduction, road network planning, and signal timing (at intersections) have a greater impact on air quality than other policy, especially in areas with traffic jams. The results of this study could provide theoretical support for traffic planning and traffic control, and is promising in practice.Qi WangHaixia FengHaiying FengYue YuJian LiErwei NingNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Qi Wang Haixia Feng Haiying Feng Yue Yu Jian Li Erwei Ning The impacts of road traffic on urban air quality in Jinan based GWR and remote sensing
description	Abstract Traffic congestion and smog are hot topics in recent years. This study analyzes the impacts of road traffic characteristic parameters on urban air quality quantitatively based on aerosol optical thickness (AOD) and geographical weighted regression (GWR) models, including the road network density, road area occupancy, intersection number, and bus network density as main factors. There are some major research findings. Firstly, there exists a strong positive correlation between the peak congestion delay index (PCDI) and air quality, the correlation has R2 values of up to 0.4962 (R 0.70). Secondly, GWR refines the local spatial changes in the AOD and the road parameters, and the correlation R2 based GWR model all above 0.6. The correlation between AOD and the road area occupancy was the highest, and the correlations with the bus network density and the intersections number were higher than that with the road network density. Thus, bus route planning, bus emission reduction, road network planning, and signal timing (at intersections) have a greater impact on air quality than other policy, especially in areas with traffic jams. The results of this study could provide theoretical support for traffic planning and traffic control, and is promising in practice.
format	article
author	Qi Wang Haixia Feng Haiying Feng Yue Yu Jian Li Erwei Ning
author_facet	Qi Wang Haixia Feng Haiying Feng Yue Yu Jian Li Erwei Ning
author_sort	Qi Wang
title	The impacts of road traffic on urban air quality in Jinan based GWR and remote sensing
title_short	The impacts of road traffic on urban air quality in Jinan based GWR and remote sensing
title_full	The impacts of road traffic on urban air quality in Jinan based GWR and remote sensing
title_fullStr	The impacts of road traffic on urban air quality in Jinan based GWR and remote sensing
title_full_unstemmed	The impacts of road traffic on urban air quality in Jinan based GWR and remote sensing
title_sort	impacts of road traffic on urban air quality in jinan based gwr and remote sensing
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/182e85c84544404eb47f17efde30494b
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The impacts of road traffic on urban air quality in Jinan based GWR and remote sensing

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