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- W93208570 abstract "Sustainability assessment in transportation planning and selection of the best transportation mode among alternatives is a challenging process. Traditional urban planning ignores vehicle technology including the large differences among conventional, hybrid and alternative fuel vehicles and buses. The large number of variables in the sustainability assessment and the subjective judgment of decision makers introduce uncertainty. Also some sustainability indicators may be incomplete, vague or qualitative. Fuzzy logic methods combine vague and uncertain criteria with well-defined and/or quantitative criteria to obtain the best alternative. The proposed method incorporates vehicle technology, fuel properties and uncertainty into sustainability assessment for transportation planning or for the development of policy on energy, environment and transportation. The method uses a sustainability framework for transportation vehicles and fuzzy logic. The assessment includes five vehicle types and various mode share scenarios. The application of fuzzy logic in sustainability assessment was evaluated by comparing it with the weighted sum method, in terms of both the sustainability performance of transportation vehicles, and the consistency of the final results. Both methods provide vehicle rankings on a continuous scale and integrate vehicle technology and fuel characteristics in the assessment. Overall sustainability performance rankings for vehicles and scenarios are found to be consistent by using either method. The fuzzy logic method is flexible and provides sustainability assessment in transportation with uncertainty." @default.
- W93208570 created "2016-06-24" @default.
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- W93208570 date "2015-01-01" @default.
- W93208570 modified "2023-09-23" @default.
- W93208570 title "Sustainability Assessment of Transportation Vehicles with Fuzzy Logic-Based Uncertainty" @default.
- W93208570 hasPublicationYear "2015" @default.
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