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Do Compactness and Poly-Centricity Mitigate PM(10) Emissions? Evidence from Yangtze River Delta Area
The Yangtze River Delta (YRD) region is one of the most densely populated and economically developed areas in China, which provides an ideal environment with which to study the various strategies, such as compact and polycentric development advocated by researchers to reduce air pollution. Using the...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6862294/ https://www.ncbi.nlm.nih.gov/pubmed/31671591 http://dx.doi.org/10.3390/ijerph16214204 |
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author | Tao, Jing Wang, Ying Wang, Rong Mi, Chuanmin |
author_facet | Tao, Jing Wang, Ying Wang, Rong Mi, Chuanmin |
author_sort | Tao, Jing |
collection | PubMed |
description | The Yangtze River Delta (YRD) region is one of the most densely populated and economically developed areas in China, which provides an ideal environment with which to study the various strategies, such as compact and polycentric development advocated by researchers to reduce air pollution. Using the data of YRD cities from 2011–2017, the spatial durbin model (SDM) is presented to investigate how compactness (in terms of urban density, jobs-housing balance, and urban centralization) and poly-centricity (in terms of the number of centers and polycentric cluster) affect PM(10) emissions. After controlling some variables, the results suggest that more jobs-housing-balanced and centralized compactness tends to decrease emissions, while poly-centricity by developing too many centers is expected to result in more pollutant emissions. The effect of high-density compactness is more controversial. In addition, for cities with more private car ownerships (>10 million within cities), enhancing the polycentric cluster by achieving a more balanced population distribution between the traditional centers and sub-centers could reduce emissions, whereas this mitigated emissions effect may be limited. The difference between our study and western studies suggests that the correlation between high-density compactness and air pollution vary with the specific characteristics and with spatial planning implications, as this paper concludes. |
format | Online Article Text |
id | pubmed-6862294 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-68622942019-12-05 Do Compactness and Poly-Centricity Mitigate PM(10) Emissions? Evidence from Yangtze River Delta Area Tao, Jing Wang, Ying Wang, Rong Mi, Chuanmin Int J Environ Res Public Health Article The Yangtze River Delta (YRD) region is one of the most densely populated and economically developed areas in China, which provides an ideal environment with which to study the various strategies, such as compact and polycentric development advocated by researchers to reduce air pollution. Using the data of YRD cities from 2011–2017, the spatial durbin model (SDM) is presented to investigate how compactness (in terms of urban density, jobs-housing balance, and urban centralization) and poly-centricity (in terms of the number of centers and polycentric cluster) affect PM(10) emissions. After controlling some variables, the results suggest that more jobs-housing-balanced and centralized compactness tends to decrease emissions, while poly-centricity by developing too many centers is expected to result in more pollutant emissions. The effect of high-density compactness is more controversial. In addition, for cities with more private car ownerships (>10 million within cities), enhancing the polycentric cluster by achieving a more balanced population distribution between the traditional centers and sub-centers could reduce emissions, whereas this mitigated emissions effect may be limited. The difference between our study and western studies suggests that the correlation between high-density compactness and air pollution vary with the specific characteristics and with spatial planning implications, as this paper concludes. MDPI 2019-10-30 2019-11 /pmc/articles/PMC6862294/ /pubmed/31671591 http://dx.doi.org/10.3390/ijerph16214204 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Tao, Jing Wang, Ying Wang, Rong Mi, Chuanmin Do Compactness and Poly-Centricity Mitigate PM(10) Emissions? Evidence from Yangtze River Delta Area |
title | Do Compactness and Poly-Centricity Mitigate PM(10) Emissions? Evidence from Yangtze River Delta Area |
title_full | Do Compactness and Poly-Centricity Mitigate PM(10) Emissions? Evidence from Yangtze River Delta Area |
title_fullStr | Do Compactness and Poly-Centricity Mitigate PM(10) Emissions? Evidence from Yangtze River Delta Area |
title_full_unstemmed | Do Compactness and Poly-Centricity Mitigate PM(10) Emissions? Evidence from Yangtze River Delta Area |
title_short | Do Compactness and Poly-Centricity Mitigate PM(10) Emissions? Evidence from Yangtze River Delta Area |
title_sort | do compactness and poly-centricity mitigate pm(10) emissions? evidence from yangtze river delta area |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6862294/ https://www.ncbi.nlm.nih.gov/pubmed/31671591 http://dx.doi.org/10.3390/ijerph16214204 |
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