Spatial and Temporal Effects of Built Environment on Urban Air Temperature in Seoul City, Korea: An Application of Spatial Regression Models
In this study we examined the relationships between the built environment and urban air temperature in Seoul city, Korea. We developed multivariate regression models that address the relationship between built environment characteristics and the ambient air temperature with spatial statistics techni...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2017-01-01
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| Series: | Journal of Asian Architecture and Building Engineering |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.3130/jaabe.16.123 |
| _version_ | 1797755611965816832 |
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| author | Sugie Lee Jaehyun Ha Hyemin Cho |
| author_facet | Sugie Lee Jaehyun Ha Hyemin Cho |
| author_sort | Sugie Lee |
| collection | DOAJ |
| description | In this study we examined the relationships between the built environment and urban air temperature in Seoul city, Korea. We developed multivariate regression models that address the relationship between built environment characteristics and the ambient air temperature with spatial statistics techniques. In addition, we analyzed the difference in daytime and nighttime air temperature to identify the built environment characteristics that affect the intensity of the nocturnal urban heat island effect (UHI). The large sample size of AWS locations in Seoul makes it possible to analyze the factors that influence ambient air temperature and UHI effect. The analysis results indicate that the sky view factor (SVF) and gross floor area significantly influence the daytime air temperature, while the building coverage and albedo showed strong relationships with the nocturnal air temperature. This study also demonstrated the importance of advanced spatial statistics techniques that control spatial autocorrelation and spatial heteroscedasticity in urban air temperature research. Our models confirmed the need to capture the effects of spatial autocorrelations within our spatial data. The findings of this study are valuable for understanding the complicated associations between the built environment and urban air temperature and to develop public policies to mitigate UHI effects. |
| first_indexed | 2024-03-12T17:49:38Z |
| format | Article |
| id | doaj.art-92dba774b65b4e628eb2ec1beaa9b425 |
| institution | Directory Open Access Journal |
| issn | 1347-2852 |
| language | English |
| last_indexed | 2024-03-12T17:49:38Z |
| publishDate | 2017-01-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Journal of Asian Architecture and Building Engineering |
| spelling | doaj.art-92dba774b65b4e628eb2ec1beaa9b4252023-08-03T09:15:31ZengTaylor & Francis GroupJournal of Asian Architecture and Building Engineering1347-28522017-01-0116112313010.3130/jaabe.16.12312029066Spatial and Temporal Effects of Built Environment on Urban Air Temperature in Seoul City, Korea: An Application of Spatial Regression ModelsSugie Lee0Jaehyun Ha1Hyemin Cho2Hanyang UniversityHanyang UniversityHanyang UniversityIn this study we examined the relationships between the built environment and urban air temperature in Seoul city, Korea. We developed multivariate regression models that address the relationship between built environment characteristics and the ambient air temperature with spatial statistics techniques. In addition, we analyzed the difference in daytime and nighttime air temperature to identify the built environment characteristics that affect the intensity of the nocturnal urban heat island effect (UHI). The large sample size of AWS locations in Seoul makes it possible to analyze the factors that influence ambient air temperature and UHI effect. The analysis results indicate that the sky view factor (SVF) and gross floor area significantly influence the daytime air temperature, while the building coverage and albedo showed strong relationships with the nocturnal air temperature. This study also demonstrated the importance of advanced spatial statistics techniques that control spatial autocorrelation and spatial heteroscedasticity in urban air temperature research. Our models confirmed the need to capture the effects of spatial autocorrelations within our spatial data. The findings of this study are valuable for understanding the complicated associations between the built environment and urban air temperature and to develop public policies to mitigate UHI effects.http://dx.doi.org/10.3130/jaabe.16.123air temperaturebuilt environmenturban heat island effectautomatic weather stationsspatial statistics |
| spellingShingle | Sugie Lee Jaehyun Ha Hyemin Cho Spatial and Temporal Effects of Built Environment on Urban Air Temperature in Seoul City, Korea: An Application of Spatial Regression Models Journal of Asian Architecture and Building Engineering air temperature built environment urban heat island effect automatic weather stations spatial statistics |
| title | Spatial and Temporal Effects of Built Environment on Urban Air Temperature in Seoul City, Korea: An Application of Spatial Regression Models |
| title_full | Spatial and Temporal Effects of Built Environment on Urban Air Temperature in Seoul City, Korea: An Application of Spatial Regression Models |
| title_fullStr | Spatial and Temporal Effects of Built Environment on Urban Air Temperature in Seoul City, Korea: An Application of Spatial Regression Models |
| title_full_unstemmed | Spatial and Temporal Effects of Built Environment on Urban Air Temperature in Seoul City, Korea: An Application of Spatial Regression Models |
| title_short | Spatial and Temporal Effects of Built Environment on Urban Air Temperature in Seoul City, Korea: An Application of Spatial Regression Models |
| title_sort | spatial and temporal effects of built environment on urban air temperature in seoul city korea an application of spatial regression models |
| topic | air temperature built environment urban heat island effect automatic weather stations spatial statistics |
| url | http://dx.doi.org/10.3130/jaabe.16.123 |
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