Journal
JOURNAL OF CLEANER PRODUCTION
Volume 163, Issue -, Pages 146-153Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.jclepro.2016.03.034
Keywords
Ecological footprint; Urban metabolism; Land metabolism; System dynamics
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Funding
- Major Research plan of the National Natural Science Foundation of China [91325302]
- Fund for Creative Research Groups of the National Natural Science Foundation of China [51121003]
- National Natural Science Foundation of China [71573021, 41271543]
- Specialized Research Fund for the Doctoral Program of Higher Education of China [20130003110027]
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Long-term observation of the urban ecological footprint will present useful knowledge of anthropogenic impact on and sustainable solutions for cities. This paper proposed a new framework to predict dynamic change and intrinsic structure of urban ecological footprint with the Markov chain. The system dynamic model based on Markov chain was then established for estimating Beijing's footprint during the period of 2001-2020. The results showed that Beijing's footprint kept stable in the long term due to steady consumption pattern and environmental mitigation policy. The footprint intensity has been decreasing constantly due to the expanding population against the stable total footprint. Energy consumption was found to be the major contributor to Beijing's footprint. Sensitivity analysis was also presented by testing the population and economic growth under five scenarios. This work may provide insights into the land metabolism.mechanism and guidance for urban planning. (C) 2016 Elsevier Ltd. All rights reserved.
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