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Synthesis and spatial dynamics of socio-economic metabolism and land use change of Taipei Metropolitan Region

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  • Lee, Chun-Lin
  • Huang, Shu-Li
  • Chan, Shih-Liang

Abstract

Ever since the concept of metabolism was extended from biological science by social scientists to analyze human systems, socio-economic metabolism has been extensively applied to explore resource consumption, asset accumulation, waste emissions, and complex processes of land use change in a socio-economic system. Current research in socio-economic metabolism and land use change has used accounting approaches for macroscopic comparisons of countries and regions. However, socio-economic metabolism has seldom been applied to the analysis of land use change. To simulate the spatial-temporal dynamics of socio-economic metabolism and land use change, this study adopts a spatial system modeling method to develop a Socio-Economic Metabolism and Land Use Change (SEMLUC) model for the Taipei Metropolitan Region. The simulation results illustrate that the Taipei Metropolitan Region is highly dependent on inflows of non-renewable energy and exhibits a spatial hierarchy of non-renewable energy consumption centering on Taipei's Main station. Additionally, urban assets provide feedback to natural and agricultural systems to extract additional resource inflows which, driven by the maximum power principle, accelerate the convergence of energy flows toward urban assets. Accumulating urban assets also facilitates inflows of non-renewable material to nearby cells thereby enhancing land use conversion to urban areas. This work also demonstrates the capability of ArcGIS software in simulating socio-economic metabolism and land use change in an urban system.

Suggested Citation

  • Lee, Chun-Lin & Huang, Shu-Li & Chan, Shih-Liang, 2009. "Synthesis and spatial dynamics of socio-economic metabolism and land use change of Taipei Metropolitan Region," Ecological Modelling, Elsevier, vol. 220(21), pages 2940-2959.
  • Handle: RePEc:eee:ecomod:v:220:y:2009:i:21:p:2940-2959
    DOI: 10.1016/j.ecolmodel.2009.06.021
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    References listed on IDEAS

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    Cited by:

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    2. Yang, Dewei & Kao, William Tze Ming & Zhang, Guoqin & Zhang, Nanyang, 2014. "Evaluating spatiotemporal differences and sustainability of Xiamen urban metabolism using emergy synthesis," Ecological Modelling, Elsevier, vol. 272(C), pages 40-48.
    3. Qing Huang & Xinqi Zheng & Yecui Hu, 2015. "Analysis of Land-Use Emergy Indicators Based on Urban Metabolism: A Case Study for Beijing," Sustainability, MDPI, vol. 7(6), pages 1-19, June.
    4. Hao, Yan & Zhang, Menghui & Zhang, Yan & Fu, Chenling & Lu, Zhongming, 2018. "Multi-scale analysis of the energy metabolic processes in the Beijing–Tianjin–Hebei (Jing-Jin-Ji) urban agglomeration," Ecological Modelling, Elsevier, vol. 369(C), pages 66-76.
    5. Zhang, Yan & Liu, Hong & Chen, Bin, 2013. "Comprehensive evaluation of the structural characteristics of an urban metabolic system: Model development and a case study of Beijing," Ecological Modelling, Elsevier, vol. 252(C), pages 106-113.
    6. Zhang, Yan & Wu, Qiong & Fath, Brian D., 2018. "Review of spatial analysis of urban carbon metabolism," Ecological Modelling, Elsevier, vol. 371(C), pages 18-24.
    7. Zhao Wang & Tao Li & Shan Yang & Daili Zhong, 2022. "Spatio-Temporal Dynamic and Structural Characteristics of Land Use/Cover Change Based on a Complex Network: A Case Study of the Middle Reaches of Yangtze River Urban Agglomeration," Sustainability, MDPI, vol. 14(11), pages 1-15, June.
    8. Liu, Gengyuan & Yang, Zhifeng & Chen, Bin & Ulgiati, Sergio, 2014. "Emergy-based dynamic mechanisms of urban development, resource consumption and environmental impacts," Ecological Modelling, Elsevier, vol. 271(C), pages 90-102.
    9. Zilong Zhang & Xingpeng Chen & Peter Heck, 2014. "Emergy-Based Regional Socio-Economic Metabolism Analysis: An Application of Data Envelopment Analysis and Decomposition Analysis," Sustainability, MDPI, vol. 6(12), pages 1-21, November.
    10. Zhanqi Wang & Ji Chai & Bingqing Li, 2016. "The Impacts of Land Use Change on Residents’ Living Based on Urban Metabolism: A Case Study in Yangzhou City of Jiangsu Province, China," Sustainability, MDPI, vol. 8(10), pages 1-17, October.
    11. Chang, Yu-Tsun & Lee, Ying-Chieh & Huang, Shu-Li, 2017. "Integrated spatial ecosystem model for simulating land use change and assessing vulnerability to flooding," Ecological Modelling, Elsevier, vol. 362(C), pages 87-100.
    12. Mellino, Salvatore & Ripa, Maddalena & Zucaro, Amalia & Ulgiati, Sergio, 2014. "An emergy–GIS approach to the evaluation of renewable resource flows: A case study of Campania Region, Italy," Ecological Modelling, Elsevier, vol. 271(C), pages 103-112.
    13. Liao, Wenjie & Heijungs, Reinout & Huppes, Gjalt, 2012. "Thermodynamic analysis of human–environment systems: A review focused on industrial ecology," Ecological Modelling, Elsevier, vol. 228(C), pages 76-88.

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