A classification approach for urban metabolism using the CART model and its application in China

Exploring resource utilization strategies for different types of cities is essential for achieving the sustainable development of cities. Urban metabolism is a systems-oriented approach to understanding the interrelationship between urban socioeconomic status and natural environment through resource...

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Autores principales:	Li Xu, Hongru Du, Xiaolei Zhang
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Urban metabolism Classification CART Sustainable development China Cities Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/12d8bb7011e742c3a310e67e9a76bed2
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id	oai:doaj.org-article:12d8bb7011e742c3a310e67e9a76bed2
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spelling	oai:doaj.org-article:12d8bb7011e742c3a310e67e9a76bed22021-12-01T04:43:31ZA classification approach for urban metabolism using the CART model and its application in China1470-160X10.1016/j.ecolind.2021.107345https://doaj.org/article/12d8bb7011e742c3a310e67e9a76bed22021-04-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21000108https://doaj.org/toc/1470-160XExploring resource utilization strategies for different types of cities is essential for achieving the sustainable development of cities. Urban metabolism is a systems-oriented approach to understanding the interrelationship between urban socioeconomic status and natural environment through resource utilization. Recognition and identification of urban metabolic types could help in formulating targeted urban resource utilization strategies. However, few studies have investigated the classification of urban metabolism. Therefore, this study combines material flow analysis with the classification and regression tree model to present a classification approach for urban metabolism that considers cities’ socioeconomic, demographic, and climatic conditions and resource consumption. This approach was tested in Chinese prefecture-level cities. The results showed that gross domestic product (GDP) per capita, population, population density, and climate types were significantly correlated with cities’ resource consumption indicators. GDP per capita and climate types were the most important threshold variables for classifying urban resource consumption levels. GDP per capita was the optimal split node for electricity, total energy, water, industrial minerals and metals, and total outputs, while climate types was the optimal split node for biomass, fossil fuels, and construction materials. The level of urban resource consumption in temperate climates was higher than in other climate types. Eight types of urban metabolism were identified in China that were closely related to urban socioeconomic conditions, scale grade, resource endowment, industrial level, and energy structure. The findings of this study provide a reference for determining the problem of urban critical resource consumption and formulating appropriate urban resource utilization strategies.Li XuHongru DuXiaolei ZhangElsevierarticleUrban metabolismClassificationCARTSustainable developmentChinaCitiesEcologyQH540-549.5ENEcological Indicators, Vol 123, Iss , Pp 107345- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Urban metabolism Classification CART Sustainable development China Cities Ecology QH540-549.5
spellingShingle	Urban metabolism Classification CART Sustainable development China Cities Ecology QH540-549.5 Li Xu Hongru Du Xiaolei Zhang A classification approach for urban metabolism using the CART model and its application in China
description	Exploring resource utilization strategies for different types of cities is essential for achieving the sustainable development of cities. Urban metabolism is a systems-oriented approach to understanding the interrelationship between urban socioeconomic status and natural environment through resource utilization. Recognition and identification of urban metabolic types could help in formulating targeted urban resource utilization strategies. However, few studies have investigated the classification of urban metabolism. Therefore, this study combines material flow analysis with the classification and regression tree model to present a classification approach for urban metabolism that considers cities’ socioeconomic, demographic, and climatic conditions and resource consumption. This approach was tested in Chinese prefecture-level cities. The results showed that gross domestic product (GDP) per capita, population, population density, and climate types were significantly correlated with cities’ resource consumption indicators. GDP per capita and climate types were the most important threshold variables for classifying urban resource consumption levels. GDP per capita was the optimal split node for electricity, total energy, water, industrial minerals and metals, and total outputs, while climate types was the optimal split node for biomass, fossil fuels, and construction materials. The level of urban resource consumption in temperate climates was higher than in other climate types. Eight types of urban metabolism were identified in China that were closely related to urban socioeconomic conditions, scale grade, resource endowment, industrial level, and energy structure. The findings of this study provide a reference for determining the problem of urban critical resource consumption and formulating appropriate urban resource utilization strategies.
format	article
author	Li Xu Hongru Du Xiaolei Zhang
author_facet	Li Xu Hongru Du Xiaolei Zhang
author_sort	Li Xu
title	A classification approach for urban metabolism using the CART model and its application in China
title_short	A classification approach for urban metabolism using the CART model and its application in China
title_full	A classification approach for urban metabolism using the CART model and its application in China
title_fullStr	A classification approach for urban metabolism using the CART model and its application in China
title_full_unstemmed	A classification approach for urban metabolism using the CART model and its application in China
title_sort	classification approach for urban metabolism using the cart model and its application in china
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/12d8bb7011e742c3a310e67e9a76bed2
work_keys_str_mv	AT lixu aclassificationapproachforurbanmetabolismusingthecartmodelanditsapplicationinchina AT hongrudu aclassificationapproachforurbanmetabolismusingthecartmodelanditsapplicationinchina AT xiaoleizhang aclassificationapproachforurbanmetabolismusingthecartmodelanditsapplicationinchina AT lixu classificationapproachforurbanmetabolismusingthecartmodelanditsapplicationinchina AT hongrudu classificationapproachforurbanmetabolismusingthecartmodelanditsapplicationinchina AT xiaoleizhang classificationapproachforurbanmetabolismusingthecartmodelanditsapplicationinchina
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A classification approach for urban metabolism using the CART model and its application in China

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