An Innovative Approach to Assess Sustainability of Urban Mobility—Using Fuzzy MCDM Method

Tripathy, Partha; Khambete, A. K.; Chauhan, Krupesh A.

doi:10.1007/978-981-13-2032-3_6

Cited by 5 publications

(5 citation statements)

References 3 publications

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“…A total of nine linguistic terms are defined and for each term, its triangular fuzzy number. (7,7,9) Extremely good EG (7,9,9)…”

Section: A New Fuzzy Marcos Methodsmentioning

confidence: 99%

“…Ratings with TFNs Ratings with TFNs C1 C2 C3 C4 C5 C6 C1 C2 C3 C4 C5 C6 A23 MP M EG VG M EG (3,3,5) (3,5,5) (7,9,9) (7,7,9) (3,5,5) (7,9,9)…”

Section: Linguistic Ratingsmentioning

confidence: 99%

“…Multi-criteria decision-making (MCDM) methods, [1][2][3][4] especially in integration with fuzzy theory [5][6][7], are a very powerful and useful tool for reliable decision-making in different fields of decision-making. The decision-making process, according to Stojić et al [8], requires the prior definition and fulfillment of certain factors, especially when it comes to solving problems in complex areas.…”

Section: Introductionmentioning

confidence: 99%

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A New Fuzzy MARCOS Method for Road Traffic Risk Analysis

et al. 2020

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In this paper, a new fuzzy multi-criteria decision-making model for traffic risk assessment was developed. A part of a main road network of 7.4 km with a total of 38 Sections was analyzed with the aim of determining the degree of risk on them. For that purpose, a fuzzy Measurement Alternatives and Ranking according to the COmpromise Solution (fuzzy MARCOS) method was developed. In addition, a new fuzzy linguistic scale quantified into triangular fuzzy numbers (TFNs) was developed. The fuzzy PIvot Pairwise RElative Criteria Importance Assessment—fuzzy PIPRECIA method—was used to determine the criteria weights on the basis of which the road network sections were evaluated. The results clearly show that there is a dominant section with the highest risk for all road participants, which requires corrective actions. In order to validate the results, a comprehensive validity test was created consisting of variations in the significance of model input parameters, testing the influence of dynamic factors—of reverse rank, and applying the fuzzy Simple Additive Weighing (fuzzy SAW) method and the fuzzy Technique for Order of Preference by Similarity to Ideal Solution (fuzzy TOPSIS). The validation test show the stability of the results obtained and the justification for the development of the proposed model.

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“…A total of nine linguistic terms are defined and for each term, its triangular fuzzy number. (7,7,9) Extremely good EG (7,9,9)…”

Section: A New Fuzzy Marcos Methodsmentioning

confidence: 99%

“…Ratings with TFNs Ratings with TFNs C1 C2 C3 C4 C5 C6 C1 C2 C3 C4 C5 C6 A23 MP M EG VG M EG (3,3,5) (3,5,5) (7,9,9) (7,7,9) (3,5,5) (7,9,9)…”

Section: Linguistic Ratingsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A New Fuzzy MARCOS Method for Road Traffic Risk Analysis

et al. 2020

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“…Decision making in a public bus transportation system is a complex issue related to economic, environmental, and socio-political matters [7], with many influential factors that characterise transport decisions [8,9]. Consequently, transportation experts have started using multi-criteria decision making (MCDM) applications for solving the problems and improving public transport projects [2,[10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Analysing Stakeholder Consensus for a Sustainable Transport Development Decision by the Fuzzy AHP and Interval AHP

et al. 2019

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In any public service development decision, it is essential to reach the stakeholders’ agreement to gain a sustainable result, which is accepted by all involved groups. In case this criterion is violated, the impact of the development will be less than expected due to the resistance of one group or another. Concerning public urban transport decisions, the lack of consensus might cause lower utilisation of public vehicles, thus more severe environmental damage, traffic problems and negative economic impacts. This paper aims to introduce a decision support procedure (applying the current MCDM techniques; Fuzzy and Interval AHP) which is capable of analysing and creating consensus among different stakeholder participants in a transport development problem. The combined application of FAHP and IAHP ensures that the consensus creation is not only based on an automated computation process (just as in IAHP) but also on the consideration of specific group interests. Thus, the decision makers have the liberty to express their preferences in urban planning, along with the consideration of numerical results. The procedure has been tested in a real public transport improvement decision as a follow-up project, in an emerging city, Mersin, Turkey. Results show that by the application of the proposed techniques, decision-makers can be more aware of the conflicts of interests among the involved groups, and they can pay more attention to possible violations.

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“…No one solution optimizes all objectives concurrently in a nontrivial multiobjective optimization problem. MCDM methods are increasingly being employed in decision -making about alternative fuels since they provide substantial benefits (Castro & Parreiras, 2020;Ha, Yang & Lam, 2019;Tripathy, Khambete, Chauhan, 2019;. Moreover, MCDM approaches can assist energy policymakers in selecting the best solution independent of the evaluation process.…”

mentioning

confidence: 99%

Selection of Alternative Marine Fuel Technology Based on Literature Review by Applying Appropriate Multi-Criteria Decision-Making Method

Alam

Mohammad

Hira

2021

JOSTIP

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The use of alternative fuel in ships can help alleviate high carbon emissions and adverse environmental consequences produced by the maritime industry. Due to the complexity of assessing many performance factors and lack of information, it is challenging for decision-makers to select the best sustainable alternative energy source for shipping from various options. Nevertheless, alternative energy decisions can be supported, and contradicting impacts can be analyzed with MCDM methodologies. This study focuses on applying decision-making processes for sustainable energy development concerns. A systematic review of published papers in the Scopus database on alternative fuel technologies and MCDM approaches from 2001 to 2021 has been conducted. All the selected articles were sorted by application area and process. In classifying the scientific journal articles and in-depth analysis, a SWOT analysis of MCDM techniques is offered. Convincing data support the conclusion that MCDM methods help decision-makers select appropriate fuel technology and are widely utilized in practice.

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An Innovative Approach to Assess Sustainability of Urban Mobility—Using Fuzzy MCDM Method

Cited by 5 publications

References 3 publications

A New Fuzzy MARCOS Method for Road Traffic Risk Analysis

A New Fuzzy MARCOS Method for Road Traffic Risk Analysis

Analysing Stakeholder Consensus for a Sustainable Transport Development Decision by the Fuzzy AHP and Interval AHP

Selection of Alternative Marine Fuel Technology Based on Literature Review by Applying Appropriate Multi-Criteria Decision-Making Method

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