Exploring spatiotemporal patterns of electric power consumption in countries along the Belt and Road

被引:95
作者
Shi, Kaifang [1 ,2 ,3 ]
Yu, Bailang [2 ,3 ]
Huang, Chang [4 ]
Wu, Jianping [2 ,3 ]
Sun, Xiufeng [5 ]
机构
[1] Southwest Univ, Chongqing Engn Res Ctr Remote Sensing Big Data Ap, Sch Geog Sci, Chongqing 400715, Peoples R China
[2] East China Normal Univ, Key Lab Geog Informat Sci, Minist Educ, Shanghai 200241, Peoples R China
[3] East China Normal Univ, Sch Geog Sci, Shanghai 200241, Peoples R China
[4] Northwest Univ Xian, Coll Urban & Environm Sci, Xian 710127, Shaanxi, Peoples R China
[5] Southwest Univ, Coll Hort & Landscape Architecture, Chongqing 400715, Peoples R China
基金
上海市自然科学基金; 中国国家自然科学基金;
关键词
Electric power consumption; Spatiotemporal patterns; DMSP-OLS; The belt and road countries; URBAN IMPERVIOUS SURFACES; NIGHTTIME LIGHT DATA; ENERGY-CONSUMPTION; CHINA; DYNAMICS; POPULATION; CITIES; URBANIZATION; EXPLORATION; SATURATION;
D O I
10.1016/j.energy.2018.03.020
中图分类号
O414.1 [热力学];
学科分类号
摘要
Fully understanding spatiotemporal patterns of electric power consumption (EPC) is one of the key questions related to sustainable socioeconomic and environmental development in countries along the Silk Road Economic Belt and the 21st-Century Maritime Silk Road (hereinafter referred to as the Belt and Road countries). However, studies about spatiotemporal patterns of EPC in the Belt and Road countries are still scarce due to the lack of reliable data. This study attempted to investigate spatiotemporal patterns of EPC in the Belt and Road countries from multiple perspectives. Firstly, the Defense Meteorological Satellite Program's Operational Linescan System (DMSP-OLS) nighttime stable light data were used to estimate EPC from 1992 to 2013. Subsequently, the mathematical statistic method, standard deviational ellipse, rank size rule, and correlation analysis were employed to evaluate the EPC change in detail. The results reveal that the EPC growth mainly occurs in the developing countries, especially in China. The geographical distribution of EPC in the Belt and Road countries is oriented in the Northwest Southeast direction between 1992 and 2013. Based on the rank size rule analysis, the slope values of q are -2.392 and -2.175 between 1992 and 2013, with an average R-2 value of 0.664, indicating a clear clustering pattern of EPC. It is also proved that GDP is a more important impact factor to EPC than the population. Our findings can offer an effective way to understand spatiotemporal evolution characteristics of EPC in the Belt and Road countries, and provide references for regional socioeconomic development and cooperation. (C) 2018 Elsevier Ltd. All rights reserved.
引用
收藏
页码:847 / 859
页数:13
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