文献类型：期刊文献

中文题名：Urban Metabolism Based on Emergy and Slack Based Model: A Case Study of Beijing, China

英文题名：Urban Metabolism Based on Emergy and Slack Based Model: A Case Study of Beijing, China

作者：Song Tao[1,2,3];Cai Jianming[1];Xu Hui[3];Deng Yu[1];Niu Fangqu[1,4];Yang Zhenshan[1];Du Shanshan[5]

第一作者：Song Tao

通讯作者：Deng, Y[1]

机构：[1]Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China;[2]Univ Chinese Acad Sci, Beijing 100049, Peoples R China;[3]Harvard Univ, Div Engn & Appl Sci, Environm Engn, Cambridge, MA 02138 USA;[4]Chinese Acad Sci, Key Lab Reg Sustainable Dev Modeling, Beijing 100101, Peoples R China;[5]Beijing Union Univ, Coll Arts & Sci, Beijing 100191, Peoples R China

第一机构：Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China

通讯机构：[1]corresponding author), Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China.

年份：2015

卷号：0

期号：1

起止页码：113-123

中文期刊名：中国地理科学：英文版

外文期刊名：CHINESE GEOGRAPHICAL SCIENCE

收录：CSTPCD;;Scopus(收录号：2-s2.0-84938484343);WOS:【SCI-EXPANDED(收录号:WOS:000351088100010)】；CSCD:【CSCD2015_2016】；PubMed;

基金：Foundation item: Under the auspices of National Natural Science Foundation of China (No. 41371008, 41101119), New Start Academic Research Projects of Beijing Union University (No. ZK201201)

语种：英文

中文关键词：城市代谢;代谢能值;北京;松弛;城市可持续发展;2008年奥运会;中国;型号

外文关键词：emergy theory; urban metabolism; slack based model (SBM); Beijing Municipality; regression analysis

摘要：The key to studying urban sustainable development depends on quantifying stores, efficiencies of urban metabolisms and capturing urban metabolisms′ mechanisms. This paper builds up the metabolic emergy account and quantifies some important concepts of emergy stores. Emphasis is placed on the urban metabolic model based on the slack based model(SBM) method to measure urban metabolic efficiencies. Urban metabolic mechanisms are discussed by using the regression method. By integrating these models, this paper analyzes the urban metabolic development in Beijing from 2001 to 2010. We conclude that the metabolic emergy stores of Beijing increased significantly from 2001 to 2010, with the emergy imported accounting for most of the increase. The metabolic efficiencies in Beijing have improved since the 2008 Olympic Games. The population, economic growth, industrial structures, and environmental governance positively affect the overall urban metabolism, while the land expansion, urbanization and environmentally technical levels hinder the improving of urban metabolic efficiencies. The SBM metabolic method and the regression model based on the emergy analysis provide insights into the urban metabolic efficiencies and the mechanism. They can promote to integrate such concepts into their sustainability analyses and policy decisions.
The key to studying urban sustainable development depends on quantifying stores, efficiencies of urban metabolisms and capturing urban metabolisms' mechanisms. This paper builds up the metabolic emergy account and quantifies some important concepts of emergy stores. Emphasis is placed on the urban metabolic model based on the slack based model (SBM) method to measure urban metabolic efficiencies. Urban metabolic mechanisms are discussed by using the regression method. By integrating these models, this paper analyzes the urban metabolic development in Beijing from 2001 to 2010. We conclude that the metabolic emergy stores of Beijing increased significantly from 2001 to 2010, with the emergy imported accounting for most of the increase. The metabolic efficiencies in Beijing have improved since the 2008 Olympic Games. The population, economic growth, industrial structures, and environmental governance positively affect the overall urban metabolism, while the land expansion, urbanization and environmentally technical levels hinder the improving of urban metabolic efficiencies. The SBM metabolic method and the regression model based on the emergy analysis provide insights into the urban metabolic efficiencies and the mechanism. They can promote to integrate such concepts into their sustainability analyses and policy decisions.