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The comprehensive evaluation method of low-carbon campus based on analytic hierarchy process and weights of entropy

Author

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  • W. Na

    (Beijing University of Civil Engineering and Architecture)

  • Z. C. Zhao

    (Beijing University of Civil Engineering and Architecture)

Abstract

The low-carbon-oriented methods to evaluate college campuses are insufficient, and the indexes are not quantified effectively, which is a normal problem in the world. To solve this problem, this paper proposes a comprehensive low-carbon-oriented evaluation method. Evaluation index system of low-carbon campuses is built that comprehensively considers both subjective and objective factors, which include management mechanism construction, low-carbon culture construction, renewable energy use and other emission reduction measures and propose quantitative evaluation methods by the analytic hierarchy process for subjective empowerment and the entropy weight method for objective empowerment. Both original data and experts’ experience are integrated to quantify the index. The result of final comprehensive index weights was management mechanism construction weights 0.137, low-carbon culture construction weights 0.097, renewable energy use weights 0.040 and other emission reduction measures weights 0.123. The validity and discrimination of the method in this paper can be verified by being employed on multiple universities in a municipality. By comparison, the result of the weight of index of low carbon campus was highly corresponding to the soring result of the campuses.

Suggested Citation

  • W. Na & Z. C. Zhao, 2021. "The comprehensive evaluation method of low-carbon campus based on analytic hierarchy process and weights of entropy," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(6), pages 9308-9319, June.
    • Handle: RePEc:spr:endesu:v:23:y:2021:i:6:d:10.1007_s10668-020-01025-0
    DOI: 10.1007/s10668-020-01025-0
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    References listed on IDEAS

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    1. Ma, Jian & Fan, Zhi-Ping & Huang, Li-Hua, 1999. "A subjective and objective integrated approach to determine attribute weights," European Journal of Operational Research, Elsevier, vol. 112(2), pages 397-404, January.
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    2. Wendong Zhu & Dahai Li & Limin Han, 2022. "Spatial–Temporal Evolution and Sustainable Type Division of Fishery Science and Technology Innovation Efficiency in China," Sustainability, MDPI, vol. 14(12), pages 1-19, June.
    3. Zhang, Chengyu & Ma, Liangdong & Han, Xing & Zhao, Tianyi, 2024. "Reconstituted data-driven air conditioning energy consumption prediction system employing occupant-orientated probability model as input and swarm intelligence optimization algorithms," Energy, Elsevier, vol. 288(C).
    4. Weixue Lu & Hecheng Wu & Liwen Wang, 2023. "The optimal environmental regulation policy combination for high-quality economic development based on spatial Durbin and threshold regression models," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(7), pages 7161-7187, July.
    5. Ning Pang & Xiaoya Deng & Aihua Long & Lili Zhang & Xinchen Gu, 2022. "Evaluation of the Resilience of the Socio-Hydrological System of the Tarim River Basin in China and Analysis of the Degree of Barriers," Sustainability, MDPI, vol. 14(13), pages 1-20, June.

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