Sustainable transportation systems performance evaluation using fuzzy logic |
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| Affiliation: | 1. Department of Production Engineering, National Institute of Technology, Tiruchirappalli 620015, India;2. Department of Computer Science and Engineering, National Institute of Technology Nagaland, Dimapur 797103, India;1. GITECO Research Group, Universidad de Cantabria, Avd. de los Castros s/n, 39005 Santander, Spain;2. Civil Engineering Department, Taif University, Taif-Al-Haweiah, P.O. Box 888, 21974, Saudi Arabia;1. MARE – Marine and Environmental Sciences Centre, Department of Life Sciences, University of Coimbra, Portugal;2. Instituto de Investigación en Recursos Cinegéticos (IREC), UCLM-CSIC-JCCM, Ciudad Real 13071, Spain;1. TRANSyT – Transport Research Centre,Universidad Politécnica de Madrid, Calle Profesor Aranguren s/n, 28040 Madrid, Spain;2. Transport – Civil Engineering Department,Universidad Politécnica de Madrid, Calle Profesor Aranguren s/n, 28040 Madrid, Spain;1. Kazan Federal University, Syuyumbike prosp, 10a, Naberezhnye Chelny 423812, Russia;2. Tallinn University of Technology, Ehitajate tee 5, Tallinn 419086, Estonia |
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| Abstract: | Sustainability has become an overarching concern for transportation policy and planning around the world. This article presents an approach for urban transport sustainability performance evaluation using fuzzy logic. This article presents a model for transport sustainability performance evaluation. Appropriate transport sustainability indicators were identified based on literature. The model addresses all major dimensions of transport sustainability such as Economic Sustainability, Social Sustainability, Environmental Sustainability and Transportation System Effectiveness. Transport sustainability index has been computed as (5.05, 6.62, 8.12) and weaker transport sustainability attributes were found. Transport sustainability index highlights the question how far toward becoming transport sustainable is an enterprise or region? While, weaker transport sustainability attributes reveals that how can an enterprise or region improve its transport sustainability effectively? Appropriate actions were initiated to improve urban transport sustainability performance. The results indicate that the model is capable of effectively assessing transport sustainability and has practical relevance. An example is also used to illustrate the approach developed. The results obtained using fuzzy approach has been validated with conventional crisp approach. 20 transport sustainability attributes out of 60 are found to be weaker and appropriate actions were derived to improve the weaker attributes. |
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| Keywords: | Sustainability Transport sustainability Performance evaluation Decision making Fuzzy logic Linguistic variables |
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