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Decision-Making of Green Space Utilization and Protection in Urban Fringe Based on Biodiversity Trade-Off

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  • Haijiao Liu

    (School of Economics and Management, Harbin Engineering University, Harbin 150001, China
    Department of City and Regional Planning, University of North Carolina at Chapel Hill, Chapel Hill, NC 27517, USA)

  • Yonghong Ma

    (School of Economics and Management, Harbin Engineering University, Harbin 150001, China)

  • Qing Liu

    (Department of City and Regional Planning, University of North Carolina at Chapel Hill, Chapel Hill, NC 27517, USA
    School of Architecture, Harbin Institute of Technology, Key Laboratory of Cold Region Urban and Rural Human Settlement Environment Science and Technology, Ministry of Industry and Information Technology, Harbin 150030, China)

  • Yan Song

    (Department of City and Regional Planning, University of North Carolina at Chapel Hill, Chapel Hill, NC 27517, USA)

Abstract

Urbanization leads to the continuous expansion of urban built-up areas and the erosion of green space in urban fringe areas, leading to the continuous decline of biodiversity. Urban planners and managers need corresponding decision support tools to coordinate the contradiction between the utilization and protection of green space, ensure the maintenance capacity of biodiversity in green space, and realize the sustainable development of regional economy, society and ecology. Therefore, based on the Hellwig Method, this study designed a decision-making method of green space utilization and protection in urban fringe areas and applied the method to the decision simulation of single or multiple green space utilization and protection modes. In the decision simulation of a green space utilization mode, we evaluated the H k values of one or several green space sample units, respectively. The smaller the H k value, the smaller the influence of the green space unit on the biodiversity maintenance function of the whole green space in the region, so the green space unit can be selected first when making green space utilization planning decisions in the urban fringe. In the decision simulation of green space protection mode, the higher the H k value of single green space sample unit combination or multiple green space sample unit combination, the greater the influence of the green space unit in the combination on the maintenance function of the overall green space biodiversity in the region. Then, when planning the green space protection in the urban fringe, the combination of such green space sample units should be given priority as the key protection and control objects. As a decision support tool for optimal scheme of green space utilization and protection in urban fringe areas, the method is practical, instructive, reasonable, operable, flexible, and universal.

Suggested Citation

  • Haijiao Liu & Yonghong Ma & Qing Liu & Yan Song, 2020. "Decision-Making of Green Space Utilization and Protection in Urban Fringe Based on Biodiversity Trade-Off," Sustainability, MDPI, vol. 12(4), pages 1-22, February.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:4:p:1373-:d:320109
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    References listed on IDEAS

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    1. Bo†sin Tang & Siu†wai Wong & Anton K.W. Lee, 2005. "Green Belt, Countryside Conservation And Local Politics: A Hong Kong Case Study," Review of Urban & Regional Development Studies, Wiley Blackwell, vol. 17(3), pages 230-247, November.
    2. Zhiming Li & Zhengxi Fan & Shiguang Shen, 2018. "Urban Green Space Suitability Evaluation Based on the AHP-CV Combined Weight Method: A Case Study of Fuping County, China," Sustainability, MDPI, vol. 10(8), pages 1-15, July.
    3. Guzman, Luis A. & Escobar, Francisco & Peña, Javier & Cardona, Rafael, 2020. "A cellular automata-based land-use model as an integrated spatial decision support system for urban planning in developing cities: The case of the Bogotá region," Land Use Policy, Elsevier, vol. 92(C).
    4. Shiyi Guo & Kaoru Saito & Weida Yin & Chang Su, 2018. "Landscape Connectivity as a Tool in Green Space Evaluation and Optimization of the Haidan District, Beijing," Sustainability, MDPI, vol. 10(6), pages 1-14, June.
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    Cited by:

    1. Martin Seidl & Manal Saifane, 2021. "A green intensity index to better assess the multiple functions of urban vegetation with an application to Paris metropolitan area," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(10), pages 15204-15224, October.
    2. Natalia Świdyńska & Mirosława Witkowska-Dąbrowska, 2021. "Indicators of the Tourist Attractiveness of Urban–Rural Communes and Sustainability of Peripheral Areas," Sustainability, MDPI, vol. 13(12), pages 1-24, June.

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