2021
DOI: 10.3233/jifs-202406
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Selection of Best E-Rickshaw-A Green Energy Game Changer: An Application of AHP and TOPSIS Method

Abstract: E-Rickshaw is an E-vehicle that has three wheels, a rechargeable battery driven electric motor as engine. E-rickshaw has become very popular due to low operating cost, low maintenance cost, eco-friendliness and ease of driving. It is perfect for small distance transport. As a last mile connector, it has transformed the public transport system in India. The low cost electric vehicle carries enough people to make a decent income and hence has become a source of livelihood for many. For considering the issues in … Show more

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Cited by 11 publications
(3 citation statements)
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References 25 publications
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“…Aboushaqrah et al, [19] made use of the combination of Life cycle assessment and neutrosophic MCDM to select alternate fuel taxis, Ren et al, [20] used sentimental analysis and MCDM methods to select strategies for battery selection, Tian et al, [21] applied hierarchical MCDM and decision tools based on data driven for choosing battery electric vehicles, Patil & Mujumdar [22,23], presented the key factors persuading electric vehicles. Nayana [24], used genetic algorithms together with MCDM to make optimal scheduling of electric vehicles, A. Ghosh et al, [25] applied the MCDM methods of AHP and TOPSIS to select the optimum electric rickshaws, Yang et al, [26] presented hesitant fuzzy MULTIMOORA method in supplier selection of batteries. Bhuyan et al, [27] evaluated recycling of lithium-ion batteries.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Aboushaqrah et al, [19] made use of the combination of Life cycle assessment and neutrosophic MCDM to select alternate fuel taxis, Ren et al, [20] used sentimental analysis and MCDM methods to select strategies for battery selection, Tian et al, [21] applied hierarchical MCDM and decision tools based on data driven for choosing battery electric vehicles, Patil & Mujumdar [22,23], presented the key factors persuading electric vehicles. Nayana [24], used genetic algorithms together with MCDM to make optimal scheduling of electric vehicles, A. Ghosh et al, [25] applied the MCDM methods of AHP and TOPSIS to select the optimum electric rickshaws, Yang et al, [26] presented hesitant fuzzy MULTIMOORA method in supplier selection of batteries. Bhuyan et al, [27] evaluated recycling of lithium-ion batteries.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Canbulut et al (2022) presented an integration of AHP and GRA for assessment of 8 vehicles with various features and selection of the best one for a company working at the public transport sector in Turkey. Ghosh et al (2021) studied on detailed criteria of e-rickshaw evaluation, and the AHP method used to calculate the weights of them. Then the TOPSIS method was employed to evaluate different e-rickshaw alternatives.…”
Section: Hybrid Approachesmentioning
confidence: 99%
“…Rahaman et al [19] applied a Gaussian method to solve the linear difference equation in a fuzzy environment. In addition, Ghorui et al [20] applied FAHP and FTOPSIS for shopping mall site selection, and Ghosh et al [21] applied FAHP and FTOPSIS for selecting the best e-rickshaw available. Moreover, Abtahi et al [22] proposed a skew-normal uncertainty distribution to capture the skewness in the portfolio selection problem, and Fazlollohtabar and Ghlizadeh [23] studied a single-server finite-capacity Markovian queuing system with encouraged arrivals.…”
mentioning
confidence: 99%