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How does peri-urbanization teleconnect remote areas? An emergy approach

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  • Chiu, Hao-Wei
  • Lee, Ying-Chieh
  • Huang, Shu-Li
  • Hsieh, Ya-Cheng

Abstract

Urbanization not only causes environmental changes in metropolitan regions but also influences the ecological and socioeconomic changes of distant land areas due to increasing demands on resource use and waste emissions. Previous studies on the assessment of urban systems have focused on the city or metropolitan areas under study. There is a need to incorporate urban land teleconnections to investigate the relationship between a city and distant land areas during the process of urbanization. This paper analyzes the teleconnection of the energy and material flows associated with Taipei’s peri-urbanization and remote areas in Taiwan. The cross-scale emergy synthesis of Taipei and Taiwan was examined first to investigate the relationships of the material and energy flows between Taipei and Taiwan. The exploitation of non-renewable resources in Taiwan during the 1990s was driven mainly by the construction and development taking place in Taipei. Furthermore, compared with Taiwan, the Taipei area relies heavily on external resources. The results of the emergy evaluation of materials flows in Taipei indicated that 85% of the construction materials used were imported from other remote areas during the past 30 years. The use of construction materials in Taipei had a higher intensity in the city center during 1982–1992 and in the peri-urban area during 2002−2014. The results of the emergy synthesis indicated that urban land teleconnections exist between peri-urban areas of Taipei and other distant areas in Taiwan.

Suggested Citation

  • Chiu, Hao-Wei & Lee, Ying-Chieh & Huang, Shu-Li & Hsieh, Ya-Cheng, 2019. "How does peri-urbanization teleconnect remote areas? An emergy approach," Ecological Modelling, Elsevier, vol. 403(C), pages 57-69.
    • Handle: RePEc:eee:ecomod:v:403:y:2019:i:c:p:57-69
    DOI: 10.1016/j.ecolmodel.2019.03.025
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    References listed on IDEAS

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    1. Jillian M. Deines & Xiao Liu & Jianguo Liu, 2016. "Telecoupling in urban water systems: an examination of Beijing’s imported water supply," Water International, Taylor & Francis Journals, vol. 41(2), pages 251-270, March.
    2. Zhang, Yan & Yang, Zhifeng & Yu, Xiangyi, 2009. "Evaluation of urban metabolism based on emergy synthesis: A case study for Beijing (China)," Ecological Modelling, Elsevier, vol. 220(13), pages 1690-1696.
    3. Susan E. Lee & Andrew D. Quinn & Chris D.F. Rogers, 2016. "Advancing City Sustainability via Its Systems of Flows: The Urban Metabolism of Birmingham and Its Hinterland," Sustainability, MDPI, vol. 8(3), pages 1-24, March.
    4. Viglia, S. & Matthews, K.B. & Miller, D.G. & Wardell-Johnson, D. & Rivington, M. & Ulgiati, S., 2017. "The social metabolism of Scotland: An environmental perspective," Energy Policy, Elsevier, vol. 100(C), pages 304-313.
    5. Brown, Mark T. & Campbell, Daniel E. & De Vilbiss, Christopher & Ulgiati, Sergio, 2016. "The geobiosphere emergy baseline: A synthesis," Ecological Modelling, Elsevier, vol. 339(C), pages 92-95.
    6. E. Gunilla A. Olsson & Eva Kerselaers & Lone Søderkvist Kristensen & Jørgen Primdahl & Elke Rogge & Anders Wästfelt, 2016. "Peri-Urban Food Production and Its Relation to Urban Resilience," Sustainability, MDPI, vol. 8(12), pages 1-21, December.
    7. Yang Yu & Kuishuang Feng & Klaus Hubacek & Laixiang Sun, 2016. "Global Implications of China's Future Food Consumption," Journal of Industrial Ecology, Yale University, vol. 20(3), pages 593-602, June.
    8. Zhang, Yan & Yang, Zhifeng & Liu, Gengyuan & Yu, Xiangyi, 2011. "Emergy analysis of the urban metabolism of Beijing," Ecological Modelling, Elsevier, vol. 222(14), pages 2377-2384.
    9. Shu‐Li Huang & Chia‐Wen Chen, 2009. "Urbanization and Socioeconomic Metabolism in Taipei," Journal of Industrial Ecology, Yale University, vol. 13(1), pages 75-93, February.
    10. Christopher Kennedy & John Cuddihy & Joshua Engel‐Yan, 2007. "The Changing Metabolism of Cities," Journal of Industrial Ecology, Yale University, vol. 11(2), pages 43-59, April.
    11. Shu-Li Huang, 1998. "Ecological Energetics, Hierarchy, and Urban Form: A System Modelling Approach to the Evolution of Urban Zonation," Environment and Planning B, , vol. 25(3), pages 391-410, June.
    12. Lee, Jae Min & Braham, William W., 2017. "Building emergy analysis of Manhattan: Density parameters for high-density and high-rise developments," Ecological Modelling, Elsevier, vol. 363(C), pages 157-171.
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    Cited by:

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    2. Lee, Ying-Chieh & Liao, Pei-Ting, 2021. "The effect of tourism on teleconnected ecosystem services and urban sustainability: An emergy approach," Ecological Modelling, Elsevier, vol. 439(C).

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