The Effects of Urban Polycentricity on Particulate Matter Emissions From Vehicles: Evidence From 102 Chinese Cities

IF 1.7 Q3 URBAN STUDIES Urban Planning Pub Date : 2023-06-16 DOI:10.17645/up.v8i3.6183
Michael M. Ye, B. Derudder, Lei Jiang, Freke Caset, Yingcheng Li
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引用次数: 1

Abstract

This article analyzes the impact of the level of urban polycentricity (UP) on particulate matter emissions from vehicles (PMV) across 102 prefecture-level cities in China between 2011 and 2015. We adopt a spatial panel modeling approach to our measures of UP and PMV, controlling for (possible) intervening effects such as population density and economic output. We observe an inverted U-shaped relationship between both measures: When UP is low, an increase in polycentricity is associated with higher levels of PMV; however, when UP reaches a certain threshold, the increase in polycentricity is associated with a reduction in PMV. We find a similar relationship between economic output and PMV and demonstrate how the effects of population density on PMV consist of two opposite processes that likely offset each other. Nonetheless, jointly, population density and UP have a significant effect on PMV. We use our results to discuss policy implications and identify avenues for further research.
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城市多中心对车辆颗粒物排放的影响——来自中国102个城市的证据
本文分析了2011 - 2015年间中国102个地级市城市多中心度(UP)水平对机动车颗粒物排放(PMV)的影响。我们采用空间面板建模方法来测量UP和PMV,控制(可能的)干预效应,如人口密度和经济产出。我们观察到两种测量之间的倒u型关系:当UP较低时,多中心性的增加与较高水平的PMV相关;然而,当UP达到一定阈值时,多中心性的增加与PMV的减少有关。我们发现经济产出和PMV之间存在类似的关系,并证明了人口密度对PMV的影响是如何由两个相反的过程组成的,这两个过程可能相互抵消。然而,人口密度和UP共同对PMV有显著影响。我们使用我们的结果来讨论政策影响,并确定进一步研究的途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Urban Planning
Urban Planning URBAN STUDIES-
CiteScore
3.60
自引率
5.60%
发文量
124
审稿时长
12 weeks
期刊介绍: Urban Planning is a new international peer-reviewed open access journal of urban studies aimed at advancing understandings and ideas of humankind’s habitats – villages, towns, cities, megacities – in order to promote progress and quality of life. The journal brings urban science and urban planning together with other cross-disciplinary fields such as sociology, ecology, psychology, technology, politics, philosophy, geography, environmental science, economics, maths and computer science, to understand processes influencing urban forms and structures, their relations with environment and life quality, with the final aim to identify patterns towards progress and quality of life.
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