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Developing A Sustainable Urban-Environmental Quality Evaluation System in China Based on A Hybrid Model

Author

Listed:
  • Qigan Shao

    (School of Economics & Management, Xiamen University of Technology, Xiamen 361024, China
    Graduate Institute of Industrial and Business Management, National Taipei University of Technology, Taipei 10608, Taiwan)

  • Sung-Shun Weng

    (Department of Information and Finance Management, National Taipei University of Technology, Taipei 10608, Taiwan)

  • James J.H. Liou

    (Department of Industrial Engineering and Management, National Taipei University of Technology, Taipei 10608, Taiwan)

  • Huai-Wei Lo

    (Graduate Institute of Industrial and Business Management, National Taipei University of Technology, Taipei 10608, Taiwan)

  • Hongbo Jiang

    (School of Economics & Management, Xiamen University of Technology, Xiamen 361024, China)

Abstract

In China, with the acceleration of urbanization, people pay more attention to the quality of urban environment. Air pollution, vegetation destruction, water waste and pollution, and waste sorting have restricted the sustainable development of urban environment. It is important to evaluate the impact of these environmental concerns as a prerequisite to implement an effective urban environmental sustainability policy. The aim of this paper is to establish a system for evaluating sustainable urban environmental quality in China. We extracted six dimensions and 29 criteria for assessing urban sustainable environment. Then, a fuzzy technique and the best worst method were applied to obtain the weights for the dimensions and criteria. Next, grey possibility values were applied to evaluate the sustainable environmental quality of five cities: Beijing, Shanghai, Shenzhen, Guangzhou, and Hangzhou in China. A sensitivity analysis was performed to identify how the ranking of these five cities changed when varying the weights of each criterion. The results show that pollution control, the natural environment, and water management are the three most important dimensions for urban environmental quality evaluation. We suggest that controlling pollutant emissions, strengthening food waste management, improving clean production processes, and utilizing heat energy are the effective measures to improve the urban environment and achieve sustainable urban environmental development.

Suggested Citation

  • Qigan Shao & Sung-Shun Weng & James J.H. Liou & Huai-Wei Lo & Hongbo Jiang, 2019. "Developing A Sustainable Urban-Environmental Quality Evaluation System in China Based on A Hybrid Model," IJERPH, MDPI, vol. 16(8), pages 1-25, April.
  • Handle: RePEc:gam:jijerp:v:16:y:2019:i:8:p:1434-:d:224997
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    References listed on IDEAS

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    1. Negin Salimi & Jafar Rezaei, 2016. "Measuring efficiency of university-industry Ph.D. projects using best worst method," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1911-1938, December.
    2. Qingyong Wang & Hong-Ning Dai & Hao Wang, 2017. "A Smart MCDM Framework to Evaluate the Impact of Air Pollution on City Sustainability: A Case Study from China," Sustainability, MDPI, vol. 9(6), pages 1-17, May.
    3. Paweł Ziemba, 2019. "Towards Strong Sustainability Management—A Generalized PROSA Method," Sustainability, MDPI, vol. 11(6), pages 1-29, March.
    4. Mangla, Sachin Kumar & Kumar, Pradeep & Barua, Mukesh Kumar, 2015. "Risk analysis in green supply chain using fuzzy AHP approach: A case study," Resources, Conservation & Recycling, Elsevier, vol. 104(PB), pages 375-390.
    5. Kylili, Angeliki & Fokaides, Paris A. & Lopez Jimenez, Petra Amparo, 2016. "Key Performance Indicators (KPIs) approach in buildings renovation for the sustainability of the built environment: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 906-915.
    6. Rezaei, Jafar, 2015. "Best-worst multi-criteria decision-making method," Omega, Elsevier, vol. 53(C), pages 49-57.
    7. Paweł Ziemba, 2019. "Inter-Criteria Dependencies-Based Decision Support in the Sustainable wind Energy Management," Energies, MDPI, vol. 12(4), pages 1-29, February.
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