Experts’ Perceptions on the Particulate Matter Reduction Effects of Green Open Space

Suyeon Kim, Seokjun Han, Sang-Woo Lee and Kyungjin An
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Suyeon Kim: Department of Forestry and Landscape Architecture, Konkuk University, Seoul 05029, Korea
Seokjun Han: Research Department, High Data, Seoul 05854, Korea
Sang-Woo Lee: Department of Forestry and Landscape Architecture, Konkuk University, Seoul 05029, Korea
Kyungjin An: Department of Forestry and Landscape Architecture, Konkuk University, Seoul 05029, Korea

Sustainability, 2019, vol. 11, issue 18, 1-16

Abstract: With recent declines in air quality, the significance of urban green spaces and their ecological functions have rapidly increased, especially with regard to the reduction of particulate matter. Various investigations regarding particle reduction in urban green spaces have been conducted; however, specific guidelines to establish empirical data for green spaces and to inform related policies are still lacking. Thus, this study aims to categorize experts’ perceptions of green spaces through Q-methodology and to identify ways to form a consensus, establish policies in the design and construction process, ultimately aiming to enhance particle reduction effects in urban green spaces. As a result, experts’ perceptions were classified into three categories: ‘active support,’ ‘skeptical,’ and ‘passive support’ groups. Experts’ opinions on the particle reduction effects of urban green areas are overarchingly agreed upon; however, the priorities involved and methods used in augmenting green space integration require further analysis and mediation. Additionally, further empirical evidence should be accumulated on the particulate matter reduction effects of urban green areas, including the quantification of particle concentration reduction in urban green spaces and considerations for policy establishment in design and construction.

Keywords: air pollution; air pollution policy; particulate matter; urban forest; Q-method (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
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