The spatial configuration of buildings: A vital consideration impossible to ignore in regulating urban land surface temperature? Evidence from 35 Chinese cities

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Standard

The spatial configuration of buildings : A vital consideration impossible to ignore in regulating urban land surface temperature? Evidence from 35 Chinese cities. / Chen, Wei; Zhang, Jianjun; Liu, Shidong; Liang, Sen; Zhang, Yaping; Fu, Shu.

I: Science of the Total Environment, Bind 865, 160946, 2023.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Chen, W, Zhang, J, Liu, S, Liang, S, Zhang, Y & Fu, S 2023, 'The spatial configuration of buildings: A vital consideration impossible to ignore in regulating urban land surface temperature? Evidence from 35 Chinese cities', Science of the Total Environment, bind 865, 160946. https://doi.org/10.1016/j.scitotenv.2022.160946

APA

Chen, W., Zhang, J., Liu, S., Liang, S., Zhang, Y., & Fu, S. (2023). The spatial configuration of buildings: A vital consideration impossible to ignore in regulating urban land surface temperature? Evidence from 35 Chinese cities. Science of the Total Environment, 865, [160946]. https://doi.org/10.1016/j.scitotenv.2022.160946

Vancouver

Chen W, Zhang J, Liu S, Liang S, Zhang Y, Fu S. The spatial configuration of buildings: A vital consideration impossible to ignore in regulating urban land surface temperature? Evidence from 35 Chinese cities. Science of the Total Environment. 2023;865. 160946. https://doi.org/10.1016/j.scitotenv.2022.160946

Author

Chen, Wei ; Zhang, Jianjun ; Liu, Shidong ; Liang, Sen ; Zhang, Yaping ; Fu, Shu. / The spatial configuration of buildings : A vital consideration impossible to ignore in regulating urban land surface temperature? Evidence from 35 Chinese cities. I: Science of the Total Environment. 2023 ; Bind 865.

Bibtex

@article{c13aeddb92f14ec19c290aa17236456a,
title = "The spatial configuration of buildings: A vital consideration impossible to ignore in regulating urban land surface temperature? Evidence from 35 Chinese cities",
abstract = "Land urbanization not only efficiently met the requirements of social development but also brought severe heating effects, especially the changes in Land Surface Temperature (LST). The effects of building density on LST and driving relation of the configuration of buildings remain poorly understood over large areas. Using Landsat 8 satellite imagery acquired from the summer of 2019, this study quantified the heating effects (k) of building density on LST across 35 cities in China, and further analyzed the driving relation of the configuration of buildings such as the size, shape, and spatial distribution on k. Here the regression analysis results showed that the building density had a significant relationship with LST, and the k varied from 1.10 to 7.27 amount of the different cities. The size and aggregation distribution of buildings were the main positive drivers for the effects of building density on LST, and the shape of buildings was not obviously related to the k-value. The results of thermal environment simulation showed that the major reason might be that the close spatial relationship reduced the heat exchange between buildings and the atmosphere, resulting in higher LST. These conclusions will provide an important reference for urban planning and design.",
keywords = "Building density, Land surface temperature, Remote sensing, Spatial configuration, Urban planning",
author = "Wei Chen and Jianjun Zhang and Shidong Liu and Sen Liang and Yaping Zhang and Shu Fu",
note = "Publisher Copyright: {\textcopyright} 2022 Elsevier B.V.",
year = "2023",
doi = "10.1016/j.scitotenv.2022.160946",
language = "English",
volume = "865",
journal = "Science of the Total Environment",
issn = "0048-9697",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - The spatial configuration of buildings

T2 - A vital consideration impossible to ignore in regulating urban land surface temperature? Evidence from 35 Chinese cities

AU - Chen, Wei

AU - Zhang, Jianjun

AU - Liu, Shidong

AU - Liang, Sen

AU - Zhang, Yaping

AU - Fu, Shu

N1 - Publisher Copyright: © 2022 Elsevier B.V.

PY - 2023

Y1 - 2023

N2 - Land urbanization not only efficiently met the requirements of social development but also brought severe heating effects, especially the changes in Land Surface Temperature (LST). The effects of building density on LST and driving relation of the configuration of buildings remain poorly understood over large areas. Using Landsat 8 satellite imagery acquired from the summer of 2019, this study quantified the heating effects (k) of building density on LST across 35 cities in China, and further analyzed the driving relation of the configuration of buildings such as the size, shape, and spatial distribution on k. Here the regression analysis results showed that the building density had a significant relationship with LST, and the k varied from 1.10 to 7.27 amount of the different cities. The size and aggregation distribution of buildings were the main positive drivers for the effects of building density on LST, and the shape of buildings was not obviously related to the k-value. The results of thermal environment simulation showed that the major reason might be that the close spatial relationship reduced the heat exchange between buildings and the atmosphere, resulting in higher LST. These conclusions will provide an important reference for urban planning and design.

AB - Land urbanization not only efficiently met the requirements of social development but also brought severe heating effects, especially the changes in Land Surface Temperature (LST). The effects of building density on LST and driving relation of the configuration of buildings remain poorly understood over large areas. Using Landsat 8 satellite imagery acquired from the summer of 2019, this study quantified the heating effects (k) of building density on LST across 35 cities in China, and further analyzed the driving relation of the configuration of buildings such as the size, shape, and spatial distribution on k. Here the regression analysis results showed that the building density had a significant relationship with LST, and the k varied from 1.10 to 7.27 amount of the different cities. The size and aggregation distribution of buildings were the main positive drivers for the effects of building density on LST, and the shape of buildings was not obviously related to the k-value. The results of thermal environment simulation showed that the major reason might be that the close spatial relationship reduced the heat exchange between buildings and the atmosphere, resulting in higher LST. These conclusions will provide an important reference for urban planning and design.

KW - Building density

KW - Land surface temperature

KW - Remote sensing

KW - Spatial configuration

KW - Urban planning

U2 - 10.1016/j.scitotenv.2022.160946

DO - 10.1016/j.scitotenv.2022.160946

M3 - Journal article

C2 - 36526209

AN - SCOPUS:85145188870

VL - 865

JO - Science of the Total Environment

JF - Science of the Total Environment

SN - 0048-9697

M1 - 160946

ER -

ID: 370734758