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Urban form as policy variable for climate-sensitive area planning under heterogeneity: a geographically weighted regression approach
Area Development and Policy ( IF 1.8 ) Pub Date : 2019-06-23 , DOI: 10.1080/23792949.2019.1609368
Surabhi Mehrotra 1, 2 , Ronita Bardhan 1, 3, 4 , Krithivasan Ramamritham 5
Affiliation  

ABSTRACT Although built-up areas exacerbate the urban heat island (UHI) effect, the thermal impact of heterogeneous urban areas remains unknown. In this study geographically weighted regression (GWR) is used to examine the locally variable relationship between land surface temperatures (LSTs) and urban built form (UBF) indices. Sky view factor, built coverage, vegetation, building height, distance to ecosystem services and surface elevation are shown to have a significant geographically varying impact on LST and urban heat stress. These UBF variables can serve as urban design instruments, help predict LST and enable the mitigation of UHI effects in heterogeneous urban areas, while GWR offers a local planning tool for the formulation of climate-responsive, local area level development regulations and policies. Abbreviations BCR, Built Coverage Ratio; BHt, Building Height; DEM, Digital Elevation Model; DistES, Distance from the ecosystem service provider; FSI, Floor Space Index; GWR, Geographically Weighted Regression; LST, Land Surface Temeperature; NDVI, Normalized difference vegetation index; RAR, Road Area Ratio; OLS, Ordinary Least Squares; SUHI, surface urban heat island; SVF, Sky View Factor; TVR, Total Vertical Ratio; UBF, Urban Built Form

中文翻译:

城市形态作为异质性下气候敏感区规划的政策变量:地理加权回归方法

摘要尽管建成区加剧了城市热岛效应(UHI),但异类城市地区的热影响仍然未知。在这项研究中,使用地理加权回归(GWR)来检验地表温度(LST)和城市建筑形式(UBF)指数之间的局部变量关系。空中因素,建筑覆盖率,植被,建筑物高度,与生态系统服务的距离和地表海拔高度对LST和城市热应力具有显着的地理变化影响。这些UBF变量可以用作城市设计工具,帮助预测LST并减轻异类城市地区UHI的影响,而GWR提供了一个本地规划工具来制定对气候敏感的地区级发展法规和政策。缩写BCR,建筑覆盖率;BHt,建筑物高度;DEM,数字高程模型;距离,与生态系统服务提供商的距离;FSI,建筑面积指数;GWR,地理加权回归;LST,陆地表面温度;NDVI,归一化植被指数;RAR,道路面积比率;OLS,普通最小二乘法;SUHI,地表城市热岛;SVF,天空景观因子;TVR,总垂直比率;UBF,城市建筑形式
更新日期:2019-06-23
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