Local and national determinants of household energy consumption in the Netherlands

被引:12
|
作者
Mashhoodi, Bardia [1 ]
Stead, Dominic [1 ]
van Timmeren, Arjan [1 ,2 ]
机构
[1] Fac Architecture & Built Environm, Dept Urbanism, Delft, Netherlands
[2] Amsterdam Inst Adv Metropolitan Solut, Amsterdam, Netherlands
基金
欧盟地平线“2020”;
关键词
Household energy consumption; Semi-parametric geographically weighted regression; Mixed geographically weighted regression; Energy policy; Netherlands; GEOGRAPHICALLY WEIGHTED REGRESSION; URBAN HEAT; ELECTRICITY CONSUMPTION; FORM; IMPACT; EMISSIONS; RANDSTAD; DEMAND; SPACE; CHINA;
D O I
10.1007/s10708-018-09967-9
中图分类号
P9 [自然地理学]; K9 [地理];
学科分类号
0705 ; 070501 ;
摘要
The policies of Third National Energy Efficiency Action Plan for the Netherlands, regarding the reduction of household energy consumption (HEC), were made based on the unwritten presumption that the stimuli of HEC are similar in each and every location of the Netherlands, and that it therefore is possible to formulate an identical set of incentives and regulations that are optimally suitable in all the locations of the country. The objective of this study is to examine the validity of this presumption by formulating two research questions: what are the national determinants of HEC, i.e. the stimuli that trigger the same response across the whole country? What are the local determinants of HEC, i.e. the stimuli which trigger different responses across the country? To identify local and national determinants of HEC, the impact of nine determinants of HEC in 2 462 neighbourhoods of the Netherlands is assessed by employing the geographical variability test. The results show that two of the determinants are national: (1) the number of frost-days, (2) wind speed. The results indicate that seven of the determinants are local: (1) income, (2) household size, (3) building age, (4) surface-to-volume ratio, (5) population density, (6) number of summer days, and (7) land surface temperature. By employing a semi-parametric geographically weighted regression analysis, the impact of the local and global determinants of HEC is estimated and mapped.
引用
收藏
页码:393 / 406
页数:14
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