Evaluation Model of Highway Reconstruction and Expansion Scheme Based on Multiple Attribute Decision Making
The renovation and expansion of highway is a technical, comprehensive, and complex work, and the determination of its optimal scheme requires the consideration of multiple factors. In the process of highway construction, road engineers attempt to select an optimal scheme with the aim of saving cost,...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | Advances in Civil Engineering |
| Online Access: | http://dx.doi.org/10.1155/2022/3764557 |
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| _version_ | 1832563113175547904 |
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| author | Xinhao Pan Man Xu Jie Jia Yifeng Xia Qian Chen |
| author_facet | Xinhao Pan Man Xu Jie Jia Yifeng Xia Qian Chen |
| author_sort | Xinhao Pan |
| collection | DOAJ |
| description | The renovation and expansion of highway is a technical, comprehensive, and complex work, and the determination of its optimal scheme requires the consideration of multiple factors. In the process of highway construction, road engineers attempt to select an optimal scheme with the aim of saving cost, reducing construction difficulties, and protecting environment. It is difficult to assess because of the large number of attribute indices and the diversity of data distribution. In order to scientifically evaluate the comprehensive benefits of highway reconstruction and extension (HRE) schemes, an evaluation model of HRE scheme based on multiple attribute decision making (MADM) was established. This paper constructed the evaluation index system of HRE based on the four aspects of technology, economy, environmental impact, and landscape. This paper has made two major improvements. First, a method was proposed to determine the weight of evaluation index by coupling fuzzy analytic hierarchy process (FAHP) with difference driven principle (DDP). Then, technique for order preference by similarity to an ideal solution (TOPSIS) method was optimized by grey relational analysis (GRA) method. Finally, the MADA evaluation model is utilized to analyze the ranking of optimal scheme selection problem by relative closeness as a decision index. The results showed that the subjective intention of decision makers was considered and also fully the objective information of data itself was fully mined. The optimal scheme was scheme 3 through the analysis of five HRE schemes. This model highlighted the differences among the schemes and also avoided the problem of excessive differences. The results were consistent with the actual situation, verifying the feasibility and practicability of the model. |
| format | Article |
| id | doaj-art-b60daedc723f4e1687dc00453b9d588d |
| institution | Kabale University |
| issn | 1687-8094 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Civil Engineering |
| spelling | doaj-art-b60daedc723f4e1687dc00453b9d588d2025-02-03T01:21:05ZengWileyAdvances in Civil Engineering1687-80942022-01-01202210.1155/2022/3764557Evaluation Model of Highway Reconstruction and Expansion Scheme Based on Multiple Attribute Decision MakingXinhao Pan0Man Xu1Jie Jia2Yifeng Xia3Qian Chen4School of Civil EngineeringSchool of Civil EngineeringSchool of Civil EngineeringSchool of Civil EngineeringSchool of HighwayThe renovation and expansion of highway is a technical, comprehensive, and complex work, and the determination of its optimal scheme requires the consideration of multiple factors. In the process of highway construction, road engineers attempt to select an optimal scheme with the aim of saving cost, reducing construction difficulties, and protecting environment. It is difficult to assess because of the large number of attribute indices and the diversity of data distribution. In order to scientifically evaluate the comprehensive benefits of highway reconstruction and extension (HRE) schemes, an evaluation model of HRE scheme based on multiple attribute decision making (MADM) was established. This paper constructed the evaluation index system of HRE based on the four aspects of technology, economy, environmental impact, and landscape. This paper has made two major improvements. First, a method was proposed to determine the weight of evaluation index by coupling fuzzy analytic hierarchy process (FAHP) with difference driven principle (DDP). Then, technique for order preference by similarity to an ideal solution (TOPSIS) method was optimized by grey relational analysis (GRA) method. Finally, the MADA evaluation model is utilized to analyze the ranking of optimal scheme selection problem by relative closeness as a decision index. The results showed that the subjective intention of decision makers was considered and also fully the objective information of data itself was fully mined. The optimal scheme was scheme 3 through the analysis of five HRE schemes. This model highlighted the differences among the schemes and also avoided the problem of excessive differences. The results were consistent with the actual situation, verifying the feasibility and practicability of the model.http://dx.doi.org/10.1155/2022/3764557 |
| spellingShingle | Xinhao Pan Man Xu Jie Jia Yifeng Xia Qian Chen Evaluation Model of Highway Reconstruction and Expansion Scheme Based on Multiple Attribute Decision Making Advances in Civil Engineering |
| title | Evaluation Model of Highway Reconstruction and Expansion Scheme Based on Multiple Attribute Decision Making |
| title_full | Evaluation Model of Highway Reconstruction and Expansion Scheme Based on Multiple Attribute Decision Making |
| title_fullStr | Evaluation Model of Highway Reconstruction and Expansion Scheme Based on Multiple Attribute Decision Making |
| title_full_unstemmed | Evaluation Model of Highway Reconstruction and Expansion Scheme Based on Multiple Attribute Decision Making |
| title_short | Evaluation Model of Highway Reconstruction and Expansion Scheme Based on Multiple Attribute Decision Making |
| title_sort | evaluation model of highway reconstruction and expansion scheme based on multiple attribute decision making |
| url | http://dx.doi.org/10.1155/2022/3764557 |
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