The contribution of neighborhood tree and greenspace to asthma emergency room visits: An application of advanced spatial data in los angeles county

Dohyung Kim, Yongjin Ahn

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

This paper aims to investigate the role of neighborhood tree and greenspace on asthma morbidity, especially asthma emergency room visits. We employed advanced spatial data which allow for precisely capturing both the quantity and the features of tree and greenspace within a neighborhood environment. The results from the spatial regression models in Los Angeles County revealed that the features of trees and greenspace, such as the configuration of the tree canopy, the level of tree clustering, and private neighborhood greenspaces contribute to decreasing asthma morbidity, in addition to the quantity of tree and greenspace acreages. Notably, however, large scale greenspace, such as golf courses, school playgrounds, and parks fails to reduce the number of asthma emergency room visits at the statistically significant level. These findings imply that the creation of dense or clustered tree patches and small-scale neighborhood greenspaces might play a substantial role in mitigating air quality and consequently reducing asthma emergency room visits.

Original languageEnglish
Article number3487
JournalInternational Journal of Environmental Research and Public Health
Volume18
Issue number7
DOIs
StatePublished - 1 Apr 2021

Keywords

  • Asthma
  • Light Detection and Ranging (LiDAR)
  • Neighborhood tree
  • Open/greenspace
  • Public health
  • Spatial regression

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