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Evaluating the effect of compact urban form on air quality in Korea

Author

Listed:
  • Jung Eun Kang
  • D.K. Yoon
  • Hyun-Joo Bae

Abstract

Air quality is affected by the interplay between emission sources and urban planning factors such as land use, built environment, development pattern, and transportation. Few empirical studies have been conducted to determine the influence of urban form characteristics on air quality in Korea. Thus, the purpose of this research is to examine the relationship between urban form and air pollution, focusing on ozone pollution in Korea. The characteristics of urban form include density, concentration, clustering, and land use mix. In this study, those characteristics were measured by population density, the Theil index, Moran’s I index, G-statistic values, and an entropy index using statistical methods and a geographic information system. We employed a spatial regression model to consider the spatial effects of ozone concentrations. We found that the degree of urban land use mix, clustering, and concentration of development are significantly associated with better air quality by using a spatial lag model, which was found to be the best fit for the data used in this study. However, an increase in population density was found to be associated with exacerbated ozone concentrations. Communities with higher daily temperatures, a large number of cars, and polluting facilities exhibited poor air quality, while those with a larger percentage of residential land use tended to have lower ozone pollution. These findings suggest that, to properly address concerns over air quality, mixed-land use and compact urban form need to be more seriously considered in sustainable urban planning.

Suggested Citation

  • Jung Eun Kang & D.K. Yoon & Hyun-Joo Bae, 2019. "Evaluating the effect of compact urban form on air quality in Korea," Environment and Planning B, , vol. 46(1), pages 179-200, January.
    • Handle: RePEc:sae:envirb:v:46:y:2019:i:1:p:179-200
    DOI: 10.1177/2399808317705880
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    References listed on IDEAS

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    1. David M. Levinson & Ajay Kumar, 1997. "Density and the Journey to Work," Growth and Change, Wiley Blackwell, vol. 28(2), pages 147-172, March.
    2. Kichan Nam & Up Lim & Brian Kim, 2012. "‘Compact’ or ‘Sprawl’ for sustainable urban form? Measuring the effect on travel behavior in Korea," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 49(1), pages 157-173, August.
    3. H. Spencer Banzhaf & Randall P. Walsh, 2008. "Do People Vote with Their Feet? An Empirical Test of Tiebout," American Economic Review, American Economic Association, vol. 98(3), pages 843-863, June.
    4. Ewing, R. & Schieber, R.A. & Zegeer, C.V., 2003. "Urban Sprawl as a Risk Factor in Motor Vehicle Occupant and Pedestrian Fatalities," American Journal of Public Health, American Public Health Association, vol. 93(9), pages 1541-1545.
    5. Lisa Schweitzer & Jiangping Zhou, 2010. "Neighborhood Air Quality, Respiratory Health, and Vulnerable Populations in Compact and Sprawled Regions," Journal of the American Planning Association, Taylor & Francis Journals, vol. 76(3), pages 363-371.
    6. Lamia Kamal-Chaoui & Alexis Robert, 2009. "Competitive Cities and Climate Change," OECD Regional Development Working Papers 2009/2, OECD Publishing.
    7. William P. Anderson & Pavlos S. Kanaroglou & Eric J. Miller, 1996. "Urban Form, Energy and the Environment: A Review of Issues, Evidence and Policy," Urban Studies, Urban Studies Journal Limited, vol. 33(1), pages 7-35, February.
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