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Can I read Research on an Evaluation Index System and Evaluation Method of Green and Low-carbon Expressway Construction on EtoBox?
Research on an Evaluation Index System and Evaluation Method of Green and Low-carbon Expressway Construction by Haiying Wang; Jianyu Tao; Jian Xu; Yingzhi Zhang is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.
What is Research on an Evaluation Index System and Evaluation Method of Green and Low-carbon Expressway Construction about?
To promote the development of green and low-carbon expressway construction, an evaluation index system and associated evaluation method for the construction of green and low-carbon expressways suitable for multiple bridges and tunnels is proposed. The evaluation index system was created from three layers: the goal layer, the criterion layer, and the indicator layer. The criterion layer includes 4 first-level indices and the indicator layer includes 18 second-level indices. The weight of each index in the criterion layer and indicator layer is determined using the improved analytic hierarchy process (AHP) method, and green and low-carbon expressway construction is then graded using the gray fuzzy comprehensive evaluation method combined quantitative indices with qualitative indices. The method with the selected indices is then verified in a case study on the Huangling-Yan’an Expressway, with the evaluation grade being “Excellent” and the evaluation value being 9.1255. The proposed evaluation method can provide theoretical and practical guidance for effective evaluation for green and low-carbon expressway construction.
Who reads Research on an Evaluation Index System and Evaluation Method of Green and Low-carbon Expressway Construction?
It is typically read by researchers, students, and practitioners in Biochemistry, Genetics and Molecular Biology.
- Author
- Haiying Wang; Jianyu Tao; Jian Xu; Yingzhi Zhang
- Publisher
- Public Library of Science (PLoS)
- Published
- 2023
- Language
- EN
- Field
- Biochemistry, Genetics and Molecular Biology (Life Sciences)