TY - JOUR
T1 - Estimating the relationship between urban forms and energy consumption
T2 - A case study in the Pearl River Delta, 2005-2008
AU - Chen, Yimin
AU - Li, Xia
AU - Zheng, Yong
AU - Guan, Yanyan
AU - Liu, Xiaoping
PY - 2011/7/30
Y1 - 2011/7/30
N2 - Urban form, which refers to the spatial configuration of urban land use within a metropolitan area, has profound influences on energy consumption of a city. Landscape metrics are frequently used to quantify urban land use patterns, but there are limited studies reporting the implications of different urban land use patterns on energy consumption. In this study, we attempt to empirically estimate the relationships between urban land use patterns and energy consumption. Five cities of the Pearl River Delta (PRD) in south China, namely Guangzhou, Dongguan, Shenzhen, Foshan and Zhongshan, are selected as the study areas. PRD is becoming an emerging megalopolis and important manufacturing base in the world. However, the rapid and unregulated urbanization process as well as the extensive and inefficient use of energy has caused a series of problems. In this study, remote sensing images during 2005-2008 were used to reveal the dynamic distribution of urban land use based on land use classification. The urban land use patterns were then quantified using a set of landscape metrics, which further serve as explanatory variables in the estimation. The panel data analysis is implemented to estimate the relationship between urban land use patterns and energy consumption. Briefly, it is found that: (1) Urban size is positively correlated with energy consumption; (2) fragmentation/irregularity of urban land use patterns is positively correlated with energy consumption; (3) The dominance of the largest urban patch is negatively correlated with energy consumption.
AB - Urban form, which refers to the spatial configuration of urban land use within a metropolitan area, has profound influences on energy consumption of a city. Landscape metrics are frequently used to quantify urban land use patterns, but there are limited studies reporting the implications of different urban land use patterns on energy consumption. In this study, we attempt to empirically estimate the relationships between urban land use patterns and energy consumption. Five cities of the Pearl River Delta (PRD) in south China, namely Guangzhou, Dongguan, Shenzhen, Foshan and Zhongshan, are selected as the study areas. PRD is becoming an emerging megalopolis and important manufacturing base in the world. However, the rapid and unregulated urbanization process as well as the extensive and inefficient use of energy has caused a series of problems. In this study, remote sensing images during 2005-2008 were used to reveal the dynamic distribution of urban land use based on land use classification. The urban land use patterns were then quantified using a set of landscape metrics, which further serve as explanatory variables in the estimation. The panel data analysis is implemented to estimate the relationship between urban land use patterns and energy consumption. Briefly, it is found that: (1) Urban size is positively correlated with energy consumption; (2) fragmentation/irregularity of urban land use patterns is positively correlated with energy consumption; (3) The dominance of the largest urban patch is negatively correlated with energy consumption.
KW - Energy consumption
KW - Landscape metrics
KW - Panel data analysis
KW - Urban forms
UR - https://www.scopus.com/pages/publications/79957965484
U2 - 10.1016/j.landurbplan.2011.03.007
DO - 10.1016/j.landurbplan.2011.03.007
M3 - 文章
AN - SCOPUS:79957965484
SN - 0169-2046
VL - 102
SP - 33
EP - 42
JO - Landscape and Urban Planning
JF - Landscape and Urban Planning
IS - 1
ER -