Influence of Urban-Growth Pattern on Air Quality in China: A Study of 338 Cities

Int J Environ Res Public Health. 2018 Aug 22;15(9):1805. doi: 10.3390/ijerph15091805.

Abstract

Air pollution in China is a serious problem and an inevitable threat to human health. This study evaluated the relationship between air quality and urban growth pattern in China by conducting empirical research involving 338 prefecture-level and above cities. Spatial regression techniques considering spatial autocorrelation were applied to correct the calculation bias. To obtain local and accurate results, a conception of eight economic zones was adopted to delineate cities into different groups and to estimate regression separately. An additional six urban form and socioeconomic indicators served as controlling variables. Significant and positive relationships between the aggregated urban growth pattern index and air pollution were observed in Northeast China, northern coastal China, and Northwest China, indicating that a high degree of urban aggregation is associated with poor air quality. However, a negative parameter was obtained in southern coastal China, showing an opposite association on urban aggregation and air quality. Nonsignificant connections among the other four zones were found. The findings also highlighted that land use mix, population density, and city size exerted varied and significant influence on air quality across eight economic zones. Overall, this study indicated that understanding the quantitative relationships between urban forms and air quality can provide policymakers with alternative ways to improve air quality in rapidly developing China.

Keywords: Chinese cities; air quality; spatial regression; urban form; urban growth pattern.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Air Pollutants / analysis*
  • Air Pollution / analysis*
  • China / epidemiology
  • Cities / statistics & numerical data
  • Environmental Monitoring*
  • Humans
  • Particulate Matter / analysis
  • Policy Making
  • Public Health*
  • Spatial Regression

Substances

  • Air Pollutants
  • Particulate Matter