Home > Articles > All Issues > 2016 > Volume 7 Number 11 (Nov. 2016) >
IJESD 2016 Vol.7(11): 821-826 ISSN: 2010-0264
doi: 10.18178/ijesd.2016.7.11.888
doi: 10.18178/ijesd.2016.7.11.888
Classifying Urban Climate Zones Based upon Statistical Analysis of Urban Spatial Characteristics
D. Lee and K. Oh
Abstract—To effectively achieve mitigation of heat island
effects requires classification of urban climate zones in advance
based on analysis of the relationship between air temperature
and urban spatial elements. The objective of this study is to: 1)
identify influential urban spatial elements affecting air
temperature by statistical analysis, and 2) provide fundamental
information on establishing thermal environment enhancement
planning through urban climate zones (UCZ) based on statistical
analysis.
This study consists of three parts: First, the air temperature of study area was analyzed using Lands at TM remotely sensed images. Next, preparative variables including topology land use, land cover, building types, and human activities to classify UCZ were prepared, and influential urban spatial elements affecting air temperature were identified by regression analysis. Finally, UCZ were delineated by K-clustering analysis, and the appropriateness of the classified UCZ were verified using ANOVA testing.
The study results show that urban elements affecting air temperature include impervious surface ratio, elevation, water area, distance from a subway station, and road area. In addition, a total of 10 UCZ were detected by K-clustering analysis, and the results of the ANOVA test shows that each classified UCZ was in statistically different groups. Moreover, UCZ and air temperature maps were found to display an almost identical pattern.
This study identified more accurate and clearer UCZ boundaries and explained statistically significant urban spatial characteristics to better understand the urban climate phenomenon. The results of this study can provide urban planners, architects, and landscape planners fundamental information to help manage the urban thermal environment.
Index Terms—Air temperature, statistical analysis, UCZ (urban climate zones), urban spatial elements.
D. Lee is with the Research Institute of Spatial Planning and Policy, Hanyang University, Soule, Korea (e-mail: estevan0705@ hotmail.com).
K. Oh is with the Department of Urban Planning and Engineering, Hanyang University, Seoul, Korea (e-mail: ksoh@hanyang.ac.kr).
This study consists of three parts: First, the air temperature of study area was analyzed using Lands at TM remotely sensed images. Next, preparative variables including topology land use, land cover, building types, and human activities to classify UCZ were prepared, and influential urban spatial elements affecting air temperature were identified by regression analysis. Finally, UCZ were delineated by K-clustering analysis, and the appropriateness of the classified UCZ were verified using ANOVA testing.
The study results show that urban elements affecting air temperature include impervious surface ratio, elevation, water area, distance from a subway station, and road area. In addition, a total of 10 UCZ were detected by K-clustering analysis, and the results of the ANOVA test shows that each classified UCZ was in statistically different groups. Moreover, UCZ and air temperature maps were found to display an almost identical pattern.
This study identified more accurate and clearer UCZ boundaries and explained statistically significant urban spatial characteristics to better understand the urban climate phenomenon. The results of this study can provide urban planners, architects, and landscape planners fundamental information to help manage the urban thermal environment.
Index Terms—Air temperature, statistical analysis, UCZ (urban climate zones), urban spatial elements.
D. Lee is with the Research Institute of Spatial Planning and Policy, Hanyang University, Soule, Korea (e-mail: estevan0705@ hotmail.com).
K. Oh is with the Department of Urban Planning and Engineering, Hanyang University, Seoul, Korea (e-mail: ksoh@hanyang.ac.kr).
Cite: D. Lee and K. Oh, "Classifying Urban Climate Zones Based upon Statistical Analysis of Urban Spatial Characteristics," International Journal of Environmental Science and Development vol. 7, no. 11, pp. 821-826, 2016.
