An Integrated AHP-MABAC Approach for Electric Vehicle Selection

Sonar, Harshad; Kulkarni, Sourabh

doi:10.1016/j.rtbm.2021.100665

Cited by 55 publications

(15 citation statements)

References 30 publications

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“…One research limitation is the fact that only BEVs from the A-C segments were included in the study, excluding cars belonging to higher segments. Among others, Tesla Model 3 belonging to the D segment, as well as Tesla Model S (segment F) and Hyundai KONA Electric (segment JB) were omitted, which took leading positions in the research on markets other than Polish [42,43]. However, the inclusion of the indicated vehicles would also require the inclusion of many other cars currently available on the Polish market.…”

Section: Discussionmentioning

confidence: 99%

“…Broniewicz and Ogrodnik [27] in one of their research approaches used TrFNs to represent uncertain weights in the fuzzy AHP method. The uncertainties were in no way captured in the remaining studies on: assessment of BEVs to support purchasing decisions [42], building a ranking of the best BEVs from the perspective of India [43], barriers to the use of EVs [44], fleet composition for small-scale car sharing [45] and urban public transport vehicles [46].…”

Section: Literature Reviewmentioning

confidence: 99%

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Selection of Electric Vehicles for the Needs of Sustainable Transport under Conditions of Uncertainty—A Comparative Study on Fuzzy MCDA Methods

Ziemba

2021

Energies

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All over the world, including Poland, authorities are taking steps to increase consumer interest in electric vehicles and sustainable transport as a way to reduce environmental pollution. For this reason, the electric vehicle market is dynamically and constantly developing, more and more modern vehicles are introduced to it, and purchases are often subsidized by the government. The aim of the article is to analyse the A–C segments of the Polish electric vehicle market and to recommend the most attractive vehicle from the perspective of sustainable transport. The aim of the research was achieved with the use of three multi-criteria decision aid (MCDA) methods, which deal well with the uncertainty and imprecision of data that occur in the case of many different parameters of electric vehicles. In particular, the following methods were used: the fuzzy technique for order of preference by similarity to ideal solution (TOPSIS), the fuzzy simple additive weighting (SAW) method, and the new easy approach to fuzzy preference ranking organization method for enrichment evaluation II (NEAT F-PROMETHEE II). Electric vehicle rankings obtained using each method were compared and verified by stochastic analysis. The conducted analyses and comparisons allowed us to identify the most interesting electric vehicles, which currently appear to be the Volkswagen ID.3 Pro S and Nissan LEAF e+.

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Section: Discussionmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Selection of Electric Vehicles for the Needs of Sustainable Transport under Conditions of Uncertainty—A Comparative Study on Fuzzy MCDA Methods

Ziemba

2021

Energies

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“…As the literature shows a shortage of research on the multi-criteria price of e-scooters, the criteria used in similar decision problems concerning e-bikes and e-micromobility in general were analyzed [15,31,32,40,41]. Moreover, publications on a similar problem of choosing an electric car [42][43][44][45][46]. As the criteria in the articles cited are not strictly aligned with the evaluation of e-scooters, only selected criteria were considered in this study.…”

Section: Collection Of Alternatives and Criteria Performance Table Of...mentioning

confidence: 99%

Compromise Multi-Criteria Selection of E-Scooters for the Vehicle Sharing System in Poland

Ziemba

Gago

2022

Energies

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In Poland, there is a high ratio of private transport and unfavorable patterns of daily commuting. These patterns can be changed by introducing comfortable and eco-friendly vehicles, such as e-scooters and e-bikes. At the same time, the development of the e-micromobility-based vehicle sharing services market is developing. The aim of the article is to analyze selected e-scooters available on the Polish market and to identify the most useful vehicles from two opposing perspectives, i.e., the potential customer and owner of the vehicle sharing system. The PROSA GDSS (PROMETHEE for Sustainability Assessment—Group Decision Support System) method and the graphical representation of GAIA (Geometrical Analysis for Interactive Assistance) were used to search for a compromise and balance between the needs of the indicated stakeholders. The results of the methods used were compared with the results of the PROMETHEE GDSS method, which does not take into account the balance between the stakeholders and allows for a strong compensation of the assessments of decision makers. The conducted research allowed indicating the optimal e-scooter to meet the needs of both decision makers, and it is the JEEP 2xe Urban Camou. Both the sensitivity analysis and the solution obtained with the use of the PROMETHEE GDSS method confirmed that it is the optimal alternative, the least sensitive to changes in criteria weights and changes in the decision makers’ compensation coefficients.

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“…Büyüközkan, Mukul and Kongar (2021) used the MABAC technique to determine the most effective strategy for successfully implementing health tourism in Istanbul, which is considered one of the appropriate centres in its region in terms of health tourism. Sonar and Kulkarni (2021) proposed a hybrid method for electric vehicle selection in which AHP and MABAC techniques are used together, thus aiming to contribute to the popularization of electric vehicles.…”

Section: Qualified Workforce (𝑪𝑪 𝟗𝟗 )mentioning

confidence: 99%

“…The MABAC technique has been used in many studies in different application areas. For example, the MABAC method has been used in different areas such as the selection of transportation resources (Pamučar & Ćirović, 2015), material selection in different industries (Xue et al, 2016), determination of installation sites of wind farms (Gigović, Pamučar, Božanić & Ljubojević, 2017), evaluation of academic websites (Pamučar, Stević & Zavadskas, 2018), patient prioritization (Sun, Hu, Zhou & Chen, 2018), electric vehicle selection (Biswas & Das, 2019;Sonar & Kulkarni 2021), personnel selection (Luo & Xing, 2019), evaluation of logistics centre locations (Pamučar & Božanić, 2019), medical equipment supplier selection (Wei, Wei, Wu & Wang, 2019) and evaluation of health tourism strategies (Büyüközkan, Mukul & Kongar, 2021). However, no study has been found in the current literature comparing city, country or region performances using the MABAC.…”

Section: Introductionmentioning

confidence: 99%

Comparison of the socio-economic sustainability performance of OECD countries

Baki

2022

bmij

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Socio-economic Sustainability (SES) enables an organisation or a country to pursue economic growth in the present without undermining the ability of future generations to meet their needs, especially in terms of curtailing the depletion or destruction of environmental resources. Ensuring SES in a country helps shape the conditions for long-term economic and social development while conserving the environment. This study compares the SES performance of 38 member countries of the Organisation for Economic Cooperation and Development (OECD) by applying a multi-criteria approach. This research aims to make inferences about SES in developed and developing countries and promote change in line with sustainable development goals. A technique known as Multi-Attributive Border Approximation area Comparison (MABAC), considered a valuable and reliable decision-making tool for rational management, was applied. In practice, socio-economic performance indicators obtained from the United Nations Development Programme (UNDP) were examined to evaluate the performance of the 38 OECD countries included based on nine criteria. The study found that, of those 38, the highest performings were Korea and Japan, and the lowest was Colombia and Mexico.

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An Integrated AHP-MABAC Approach for Electric Vehicle Selection

Cited by 55 publications

References 30 publications

Selection of Electric Vehicles for the Needs of Sustainable Transport under Conditions of Uncertainty—A Comparative Study on Fuzzy MCDA Methods

Selection of Electric Vehicles for the Needs of Sustainable Transport under Conditions of Uncertainty—A Comparative Study on Fuzzy MCDA Methods

Compromise Multi-Criteria Selection of E-Scooters for the Vehicle Sharing System in Poland

Comparison of the socio-economic sustainability performance of OECD countries

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