| Title |
How the Neighborhood Environment Characteristics Affect the Urban Heat Island Effect in Seoul, Korea |
| Authors |
고동원(Ko, Dong-Won) ; 박승훈(Park, Seung-Hoon) |
| Keywords |
도시열섬 ; 근린환경 ; 지리정보시스템 ; 공간계량모형 Urban Heat Island ; Neighborhood Built Environment ; Geographic Information System ; Spatial Regression Model |
| Abstract |
The urban heat island phenomenon not only increases the surface temperature of cities but also reduces biodiversity, which means a significant environmental adverse impact. Urban heat island phenomenon can also have a negative effect on the quality of life of the citizen. Therefore, efforts should be made to reduce urban heat island phenomenon and a policy study should be conducted. This study analyzed urban heat island phenomena with the characteristics of built environment including physical environment characteristics and socio-economic characteristics of Seoul. The data on urban heat island was measured based on Landsat8 high-resolution satellite images using spatial information system. According to the Moran's I test, the urban heat island phenomenon is showing spatial autocorrelation. The study adopted a spatial regression model to control this spatial autocorrelation. The main analysis results are as follows: population density, residential area ratio and bus stop density are the main factors that negatively affect urban heat island phenomenon. On the other hand, gross floor area of residential buildings, NDVI, have been shown to be major factors in reducing urban heat island phenomena. In particular, it was confirmed that NDVI has significant impact on reducing urban heat island phenomena. Meanwhile, the population ratio under national basic living security level, the population ratio aged over 65 and the share of elderly persons who lives alone have not shown statistically significant relationships. In the future, effective policy development will be needed to reduce the phenomenon of urban heat islands considering the characteristics of the built environment. |