State-of-the-art review on multi-criteria decision-making in the transport sector

Yannis, George; Kopsacheili, Angeliki; Dragomanovits, Anastasios; Petraki, Virginia

doi:10.1016/j.jtte.2020.05.005

Cited by 143 publications

(97 citation statements)

References 42 publications

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“…By applying MCDM, the quality of life in urban environments was assessed at three spatial levels (socioeconomic, environmental, and accessibility) [28]. For transport projects, policies, or the evaluation of policy measures, from 1982 to 2019 we have seen the development and effective application of various multi-criteria methods to complement conventional cost effectiveness and cost benefit analyses [29]. The determination of transportation and traffic risk is a very popular and interesting activity that can help participants avoid risk and conflict situations.…”

Section: Literature Reviewmentioning

confidence: 99%

Ranking Road Sections Based on MCDM Model: New Improved Fuzzy SWARA (IMF SWARA)

Vrtagic

Softić

Subotić

et al. 2021

Axioms

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Traffic management is a significantly difficult and demanding task. It is necessary to know the main parameters of road networks in order to adequately meet traffic management requirements. Through this paper, an integrated fuzzy model for ranking road sections based on four inputs and four outputs was developed. The goal was to determine the safety degree of the observed road sections by the methodology developed. The greatest contribution of the paper is reflected in the development of the improved fuzzy step-wise weight assessment ratio analysis (IMF SWARA) method and integration with the fuzzy measurement alternatives and ranking according to the compromise solution (fuzzy MARCOS) method. First, the data envelopment analysis (DEA) model was applied, showing that three road sections have a high traffic risk. After that, IMF SWARA was applied to determine the values of the weight coefficients of the criteria, and the fuzzy MARCOS method was used for the final ranking of the sections. The obtained results were verified through a three-phase sensitivity analysis with an emphasis on forming 40 new scenarios in which input values were simulated. The stability of the model was proven in all phases of sensitivity analysis.

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Section: Literature Reviewmentioning

confidence: 99%

Ranking Road Sections Based on MCDM Model: New Improved Fuzzy SWARA (IMF SWARA)

Vrtagic

Softić

Subotić

et al. 2021

Axioms

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“…Values not listed in Table 2 (2, 4, 6, 8) characterize intermediate values. These values can be applied when the numerical interpolation of the criteria comparison is needed because the decision-maker cannot find the right words to describe the relationship between the given criteria [2,29]. Preferences are specified for each level within the defined hierarchical structure.…”

Section: Ahpmentioning

confidence: 99%

“…where f K − i represents the utility function in relation to the anti-ideal solution, while f K + i represents the utility function in relation to the ideal solution. Utility functions in relation to the ideal and anti-ideal solution are determined by applying Equations (29) and 30:…”

Section: Marcosmentioning

confidence: 99%

Pareto Optimal Decisions in Multi-Criteria Decision Making Explained with Construction Cost Cases

et al. 2020

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In multi-criteria decision-making (MCDM) problems the decision-maker is often forced to accept a not ideal solution. If the ideal choice exists, it would be certainly chosen. The acceptance of a non- ideal solution leads to some inadequate properties in the chosen solution. MCDM methods help the decision-maker to structure his needs considering different units, in which the properties of the solutions are expressed. Secondly, with MCDM tools the assessment of the available solutions can be calculated with consideration of the decision-maker’s needs. The incorporation of the cost criterion into the decision maker’s preferences calculation, and the solution assessment calculation, deprives the decision-maker of the ability to calculate the financial result of the decision he must make. A new multi-criteria decision making with cost criterion analysed at the final stage (MCDM-CCAF) method is developed based on principle of Pareto optimal decisions. It is proposed to exclude the cost criterion from the MCDM analysis and consider it at the final phase of the decision-making process. It is illustrated by example solutions with consideration of cost criterion and without it. It is proposed to apply the invented post-processing method to all MCDM analyses where the cost criterion of analysed variants is considered.

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“…Both the above-mentioned methods are analytical ways of comparing different forms of input or output, in these cases by giving them money values, and might themselves be regarded as examples of multicriteria analysis [1]. However, the above methods have certain limitations, mostly related to the fact that many impacts due to their nature (such as social, health, safety) cannot objectively be quantified in momentary terms [2].…”

Section: Introductionmentioning

confidence: 99%

Use of PROMETHEE MCDA Method for Ranking Alternative Measures of Sustainable Urban Mobility Planning

Morfoulaki

Papathanasiou

2021

Mathematics

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One of the most crucial steps during the implementation of a Sustainable Urban Mobility Plan (SUMP) as well the relevant transportation projects is the final measures and policies’ selection that will be realized in order for the plan to achieve the study area targets. There are many methodologies that have been used for a specific purpose, with cost-effective and cost–benefit analysis being the most popular. According to the new specifications of SUMPs, the co-creation and co-planning of the future measures taking into account the opinions of all the relevant stakeholders and groups of citizens is the main parameter that will ensure the success of the planning. For this reason, MCA is the methodology proposed to be used for collecting and analyzing the different opinions. The aim of the current work is to prove, through a targeted Greek survey, the effectiveness of the MCA, not only to merge the different opinions and priorities of the stakeholders but also to highlight and rank realistically the most important sustainable mobility measures that should be implemented in an urban area. The work proposes and tests a specific methodological framework based on the use of the preference ranking organization method for enrichment of evaluations (PROMETHEE) method.

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State-of-the-art review on multi-criteria decision-making in the transport sector

Cited by 143 publications

References 42 publications

Ranking Road Sections Based on MCDM Model: New Improved Fuzzy SWARA (IMF SWARA)

Ranking Road Sections Based on MCDM Model: New Improved Fuzzy SWARA (IMF SWARA)

Pareto Optimal Decisions in Multi-Criteria Decision Making Explained with Construction Cost Cases

Use of PROMETHEE MCDA Method for Ranking Alternative Measures of Sustainable Urban Mobility Planning

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