Comprehensive benefits evaluation of low impact development using scenario analysis and fuzzy decision approach
Abstract The comprehensive benefit evaluation of LID based on multi-criteria decision-making methods faces technical issues such as the uncertainties and vagueness in hybrid information sources, which can affect the overall evaluation results and ranking of alternatives. This study introduces a mult...
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Nature Portfolio
2025-01-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-025-85763-z |
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| author | Ting Ni Xiaohong Zhang Peng Leng Mark Pelling Jiuping Xu |
| author_facet | Ting Ni Xiaohong Zhang Peng Leng Mark Pelling Jiuping Xu |
| author_sort | Ting Ni |
| collection | DOAJ |
| description | Abstract The comprehensive benefit evaluation of LID based on multi-criteria decision-making methods faces technical issues such as the uncertainties and vagueness in hybrid information sources, which can affect the overall evaluation results and ranking of alternatives. This study introduces a multi-indicator fuzzy comprehensive benefit evaluation approach for the selection of LID measures, aiming to provide a robust and holistic framework for evaluating their benefits at the community level. The proposed methodology integrates quantitative environmental and economic indicators with qualitative social benefit indicators, combining the use of the Storm Water Management Model (SWMM) and ArcGIS for scenario-based analysis, and the use of hesitant fuzzy language sets and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) for decision-making. The framework’s novelty lies in the integration of the hesitant fuzzy weighted average algorithm to handle subjective uncertainties in expert judgment and the incorporation of multi-return period scenarios to enhance the robustness of the evaluation. The comprehensive benefits of 26 LID configurations were conducted in Chenglong Road Subdistrict under five rainfall return period scenarios of 5, 10, 20, 50, and 100 years. The results show that LID measures, particularly combinations of sunken green spaces and permeable paving, offer significant reductions in runoff and peak flow, along with improved flood mitigation across multiple return periods. Additionally, this study identifies practical LID implementation priorities for local decision-makers. The relative closeness is influenced by the indicators and non-calibrated parameters. However, it overall does not affect the main trends and key insights derived. The robustness of the proposed approach is reinforced by four key aspects: the impact of the Thiessen polygon method in ArcGIS, the influence of composite runoff coefficient and iterative optimization in SWMM, the effect of hesitant fuzzy linguistic sets and TOPSIS on weight calculation, and the contribution of simulations under different return periods to stability analysis. |
| format | Article |
| id | doaj-art-569fe2c431f44541acbc0d0c51e35abc |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-569fe2c431f44541acbc0d0c51e35abc2025-01-19T12:22:25ZengNature PortfolioScientific Reports2045-23222025-01-0115112310.1038/s41598-025-85763-zComprehensive benefits evaluation of low impact development using scenario analysis and fuzzy decision approachTing Ni0Xiaohong Zhang1Peng Leng2Mark Pelling3Jiuping Xu4Business School, Sichuan UniversityCollege of Environment and Civil Engineering, Chengdu University of TechnologyChina Construction Science and Industry Corporation LTDInstitution for Risk and Disaster Reduction, University College LondonBusiness School, Sichuan UniversityAbstract The comprehensive benefit evaluation of LID based on multi-criteria decision-making methods faces technical issues such as the uncertainties and vagueness in hybrid information sources, which can affect the overall evaluation results and ranking of alternatives. This study introduces a multi-indicator fuzzy comprehensive benefit evaluation approach for the selection of LID measures, aiming to provide a robust and holistic framework for evaluating their benefits at the community level. The proposed methodology integrates quantitative environmental and economic indicators with qualitative social benefit indicators, combining the use of the Storm Water Management Model (SWMM) and ArcGIS for scenario-based analysis, and the use of hesitant fuzzy language sets and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) for decision-making. The framework’s novelty lies in the integration of the hesitant fuzzy weighted average algorithm to handle subjective uncertainties in expert judgment and the incorporation of multi-return period scenarios to enhance the robustness of the evaluation. The comprehensive benefits of 26 LID configurations were conducted in Chenglong Road Subdistrict under five rainfall return period scenarios of 5, 10, 20, 50, and 100 years. The results show that LID measures, particularly combinations of sunken green spaces and permeable paving, offer significant reductions in runoff and peak flow, along with improved flood mitigation across multiple return periods. Additionally, this study identifies practical LID implementation priorities for local decision-makers. The relative closeness is influenced by the indicators and non-calibrated parameters. However, it overall does not affect the main trends and key insights derived. The robustness of the proposed approach is reinforced by four key aspects: the impact of the Thiessen polygon method in ArcGIS, the influence of composite runoff coefficient and iterative optimization in SWMM, the effect of hesitant fuzzy linguistic sets and TOPSIS on weight calculation, and the contribution of simulations under different return periods to stability analysis.https://doi.org/10.1038/s41598-025-85763-zLID configurationComprehensive benefitsSWMMArcGISHFLSTOPSIS |
| spellingShingle | Ting Ni Xiaohong Zhang Peng Leng Mark Pelling Jiuping Xu Comprehensive benefits evaluation of low impact development using scenario analysis and fuzzy decision approach Scientific Reports LID configuration Comprehensive benefits SWMM ArcGIS HFLS TOPSIS |
| title | Comprehensive benefits evaluation of low impact development using scenario analysis and fuzzy decision approach |
| title_full | Comprehensive benefits evaluation of low impact development using scenario analysis and fuzzy decision approach |
| title_fullStr | Comprehensive benefits evaluation of low impact development using scenario analysis and fuzzy decision approach |
| title_full_unstemmed | Comprehensive benefits evaluation of low impact development using scenario analysis and fuzzy decision approach |
| title_short | Comprehensive benefits evaluation of low impact development using scenario analysis and fuzzy decision approach |
| title_sort | comprehensive benefits evaluation of low impact development using scenario analysis and fuzzy decision approach |
| topic | LID configuration Comprehensive benefits SWMM ArcGIS HFLS TOPSIS |
| url | https://doi.org/10.1038/s41598-025-85763-z |
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