作者: Yongjin Ahn , Dohyung Kim
DOI: 10.1016/J.CITIES.2018.12.002
关键词: Spatial regression model 、 Air pollutants 、 Asthma severity 、 Environmental health 、 Asthma 、 Severe asthma 、 Bus transit 、 Spatial error 、 Medicine
摘要: Abstract Although the causes of asthma are inconclusive, it is fairly known that exposure to outdoor air pollutants can cause asthma, especially children's morbidity. Whereas transportation one major sectors generate pollutants, previous research investigates correlation between and narrowly focuses on contribution automobile traffic asthma. Developing three spatial regression models (a lag (SL) model, a error (SE) general (SAC) model), this paper roles variety factors in two distinct stages morbidity; severe With consideration asthma-related socio-economic City Seoul, SE (R2 = 0.31) SAC (R2 = 0.34) consistently indicate out four associate with at statistically significant level. They include negative influence bus transit dense intersections, positive active activities severity. Interestingly, however, no morbidity was identified by (R2 = 0.29) (R2 = 0.28) models. Shedding more light complexity severity, proposes collaborative partnerships not only among multi- dimensional agencies, but also multi-level government organizations.