 Dominants in evolution of urban energy metabolism: A case study of BeijingGuangwen Hu and Xianzhong Mu Ecological Modelling, 2018, vol. 385, issue C, 26-34 Abstract: Ecological network analysis is an important tool for urban energy metabolism research, but it does not consider the dynamic and synergy features of the system, which constraints its application in urban transition studies. In this paper, we modified the ecological network analysis method to identify the key factors that dominate the evolution of the urban energy metabolism. Focusing on the dynamic and synergy characteristics of the system, we observed the changes of direct and indirect energy consumption flows and combined with Haken model to determine the dominant factors of the metabolic processes. A case study on Beijing was conducted to diagnose the key flows that impact the evolution of Beijing’s energy metabolic system during 2010–2015. Results suggest that despite the decline in Beijing’s coal consumptions, the direct and indirect parts have different tendency among sectors. During the research period, the pathway “coal to industry” displays dominant effects on the evolution of Beijing’s energy metabolic system. Keywords: Urban energy metabolic system; Evolution; Ecological network analysis; Haken model (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:ecomod:v:385:y:2018:i:c:p:26-34 DOI: 10.1016/j.ecolmodel.2018.07.008 Access Statistics for this article Ecological Modelling is currently edited by Brian D. Fath More articles in Ecological Modelling from Elsevier |
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