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Revisiting the relationships between energy consumption, economic development and urban size: A global perspective using remote sensing data.
Ma, Shuang; Li, Shuangjin; Luo, Qing; Yu, Zhao; Wang, Yifei.
Afiliação
  • Ma S; College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China.
  • Li S; Graduate School of Advanced Science and Engineering, Hiroshima University, Higashi Hiroshima 7398529, Japan.
  • Luo Q; College of Resources and Environment, Henan University of Economics and Law, Zhengzhou 450016, China.
  • Yu Z; Architecture, Civil and Transportation Engineering, Beijing University of Technology, Beijing 100021, China.
  • Wang Y; College of Resources and Environment, Henan University of Economics and Law, Zhengzhou 450016, China.
Heliyon ; 10(5): e27318, 2024 Mar 15.
Article em En | MEDLINE | ID: mdl-38486767
ABSTRACT
Existing methods of measuring energy consumption require complex statistics and computing. A real-time and globally applicable approach for comparing energy consumption across different cities is still lacking. Additionally, the nonlinear relationships and varying thresholds of energy consumption in relation to economic activities and urbanization remain unconfirmed. This study aims to fill these gaps by utilizing Suomi National Polar-orbiting Partnership Visible Infrared Imaging Radiometer Suite (NPP-VIIRS) nighttime light data in 2015 and a top-down approach based on a multiple regression model to examine energy consumption in global cities employing a redefined urban boundary. It also explores the accurate relationship between energy consumption, population density (as a proxy of urbanization), and per capita gross domestic product (GDP) across different regions and urban sizes using generalized additive models and regression models. High-resolution gridded population and GDP datasets covering the entire planet are utilized for this purpose. The study also estimates the development potentiality. The study yields followings

outcomes:

Firstly, the top 30 cities with the highest per capita energy consumption account for over 0.66% of the total per capita energy consumption of all cities. Secondly, in East Asia (EA) and Southeast Asia (SEA), the per capita energy consumption decreases when per capita GDP reaches $40,000 and $75,000, respectively, while it remains stable in cities located in Western Europe (WE) and North America (NA) as per capita GDP increases. Thirdly, the per capita energy consumption declines with increasing urban population density until reaching 10,000 person/km2, 22,000 person/km2, and 4000 person/km2 in EA, SEA, and NA, respectively. Fourthly, in Central Asia (CA), megacities can save over 100 Mbtu/population when per capita GDP increases by $1000 compared to big cities. This pioneering study provides a comparable investigation of energy consumption at the global city level, exploring its relationship with urbanization and economy by employing a unified calculation standard. It will facilitate long-term energy-saving policies and urban planning strategies.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Heliyon Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Heliyon Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China