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Smart city article details
| Title | A Novel Pythagorean Fuzzy Multi-Criteria Decision-Making Methodology For E-Scooter Charging Station Location-Selection |
|---|---|
| ID_Doc | 3499 |
| Authors | Ayyildiz E. |
| Year | 2022 |
| Published | Transportation Research Part D: Transport and Environment, 111 |
| DOI | http://dx.doi.org/10.1016/j.trd.2022.103459 |
| Abstract | This study focuses on how to determine the location of electric scooter (e-scooter) charging stations. In the station location determination problem, the sustainability perspective, which is one of the indispensable elements of smart city practices, is focused. To solve the highlighted problem, new three-stage pythagorean fuzzy group decision-making methodology is developed. First, experts are evaluated, considering that their experience and knowledge levels may differ. Afterwards, criteria are determined from both opinions from experts and literature review, and the weights of these criteria are calculated using the Pythagorean Fuzzy Stepwise Weight Assessment Ratio Analysis (PF-SWARA) method. Finally, Pythagorean Fuzzy COmbinative Distance-based Assessment (PF-CODAS) is proposed to evaluate alternative locations. A real case study is conducted in Istanbul and both policy and managerial implications are provided to decision-makers. The results show that the economic factors are important in determining the stations’ location. © 2022 Elsevier Ltd |
| Author Keywords | e-scooter charging station; Location selection; Multi criteria decision making; Pythagorean fuzzy number; Sustainability |
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