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Relationship between Air Pollution and Urban Forms: Evidence from Prefecture-Level Cities of the Yangtze River Basin

Author

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  • Lijie He

    (Department of Geography and Resource Management, The Chinese University of Hong Kong, Shatin 999077, Hong Kong
    School of Resource and Environmental Science, Wuhan University, Wuhan 430079, China)

  • Ying Liu

    (School of Resource and Environmental Science, Wuhan University, Wuhan 430079, China)

  • Peipei He

    (College of Surveying and Geo-Informatics, North China University of Water Resources and Electric Power, Zhengzhou 450045, China)

  • Hao Zhou

    (MOE Key Laboratory of Fundamental Physical Quantities Measurement, School of Physics, Huazhong University of Science and Technology, Wuhan 430074, China)

Abstract

Urban forms, such as size, shape, density, compactness, and fragmentation, are associated with local air pollution concentrations. However, empirical analyses on how urban form improves or degrades urban air quality are still limited and inconclusive, especially for those rapidly expanding cities in developing countries. In this study, by using the improved STIRPAT (stochastic impacts by regression on population, affluence, and technology) model, the quantitative impact of urban form on near-surface PM 2.5 and NO 2 concentrations was identified in the 10 prefecture-level cities of the Yangtze River Basin (YRB) from 2000 to 2013. Trend analyses showed a significant increasing trend in both PM 2.5 (9.69 × 10 −4 µg·m −3 ·year −1 ) and NO 2 (1.73 × 10 −4 ppb·year −1 ) for the whole study period. Notably, a turning point of PM 2.5 from increasing to decreasing trends occurred around 2007. In addition, both pollutants showed a spatial agglomeration. The STIRPAT model demonstrated that socioeconomic, transportation and urban form factors played an important role in alleviating the increase of PM 2.5 and NO 2 . In particular, a 1% decrease in urban extent density (UED) significantly increased NO 2 by 0.203%, but reduced PM 2.5 by 0.033%. The proximity index (PI) measured as a city’s compactness was significantly negatively correlated with PM 2.5 and NO 2 . Conversely, a significant positive relationship of PM 2.5 and NO 2 concentrations against the openness index (OI) was observed, an important variable for measuring a city’s fragmentation. In addition, the environmental Kuznets curve (EKC) hypothesis between per capita GDP and PM 2.5 concentration was confirmed but failed in NO 2 . Overall, this study encouraged a less fragmented and more compact urban form, which helped alleviate local air pollution concentrations by enhancing urban connectivity, reducing vehicle dependence, and facilitating the use of bicycles and walking.

Suggested Citation

  • Lijie He & Ying Liu & Peipei He & Hao Zhou, 2019. "Relationship between Air Pollution and Urban Forms: Evidence from Prefecture-Level Cities of the Yangtze River Basin," IJERPH, MDPI, vol. 16(18), pages 1-21, September.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:18:p:3459-:d:268095
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    References listed on IDEAS

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    2. Wenting Wang & Lijun Zhang & Jun Zhao & Mengge Qi & Fengrui Chen, 2020. "The Effect of Socioeconomic Factors on Spatiotemporal Patterns of PM 2.5 Concentration in Beijing–Tianjin–Hebei Region and Surrounding Areas," IJERPH, MDPI, vol. 17(9), pages 1-16, April.
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    5. Feipeng Guo & Zifan Wang & Shaobo Ji & Qibei Lu, 2022. "Influential Nodes Identification in the Air Pollution Spatial Correlation Weighted Networks and Collaborative Governance: Taking China’s Three Urban Agglomerations as Examples," IJERPH, MDPI, vol. 19(8), pages 1-17, April.

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