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Safe E-scooter operation alternative prioritization using a q-rung orthopair Fuzzy Einstein based WASPAS approach

Deveci, Muhammet; Gokasar, Ilgin; Pamucar, Dragan; Coffman, D'Maris; Papadonikolaki, Eleni; (2022) Safe E-scooter operation alternative prioritization using a q-rung orthopair Fuzzy Einstein based WASPAS approach. Journal of Cleaner Production , 347 , Article 131239. 10.1016/j.jclepro.2022.131239. Green open access

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Abstract

E-scooters globally have proven an increasingly popular form of dockless micro-mobility, while also contributing to sustainable urban transportation forms. However, some safety issues arise with e-scooter use in the cities. This study aims to propose a decision-making model based on q-rung orthopair fuzzy sets for prioritizing the safe e-scooter operation alternative. The proposed model consists of two stages: weighting the criteria and ranking the alternatives. First, a fuzzy logarithmic additive assessment of the weight coefficients methodology and fuzzy Einstein weighted averaging operator were applied to define the reference relationships between the criteria and determine their weights. Second, a q-rung orthopair fuzzy sets based decision-making model integrating q-rung orthopair fuzzy Einstein average and q-rung orthopair fuzzy Hamacher geometric mean operator was used to rank the alternatives. A fictional case study is presented to show the practicality of the proposed model. The contribution of the work is as a decision-support system for evaluating safe e-scooter strategies, such as infrastructure placement, user behavior and how e-scooters interact with other transportation means showing that applicability of the proposed model to real-world problems.

Type: Article
Title: Safe E-scooter operation alternative prioritization using a q-rung orthopair Fuzzy Einstein based WASPAS approach
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.jclepro.2022.131239
Publisher version: https://doi.org/10.1016/j.jclepro.2022.131239
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: E-scooter, Safety, Q-rung orthopair fuzzy sets, Fuzzy logarithmic additive assessment, Multi-criteria decision making (MCDM)
UCL classification: UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL
URI: https://discovery.ucl.ac.uk/id/eprint/10145047
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