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Estimating the relationship between urban forms and energy consumption: A case study in the Pearl River Delta, 2005-2008

机译:估算城市形态与能源消耗之间的关系:以珠江三角洲为例,2005-2008年

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摘要

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
机译:城市形态指的是大都市区内城市土地利用的空间配置,对城市的能源消耗产生深远的影响。景观指标通常用于量化城市土地利用方式,但是很少有研究报告不同城市土地利用方式对能源消耗的影响。在这项研究中,我们试图凭经验估计城市土地利用方式与能源消耗之间的关系。研究区选择了中国南方的五个珠江三角洲城市,分别是广州,东莞,深圳,佛山和中山。珠三角正在成为新兴的大都市和世界重要的制造业基地。然而,快速而不受管制的城市化进程以及能源的广泛和低效使用引起了一系列问题。在这项研究中,利用2005-2008年的遥感图像揭示了基于土地利用分类的城市土地利用的动态分布。然后,使用一组景观指标对城市土地利用模式进行量化,这些指标还可以作为估算中的解释变量。进行面板数据分析是为了估计城市土地利用方式与能源消耗之间的关系。简而言之,发现:(1)城市规模与能源消耗成正相关; (2)城市土地利用方式的零散/不规律与能源消耗成正相关; (3)最大城市斑块的优势度与能源消耗呈负相关

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