Abstract The COVID-19 pandemic has created unexpected demand for air cargo in terms of rapid mobility of critical basic needs. Air cargo carriers aim to maximize their profits by taking advantage of the current demand and using their limited capacity in the right place. At this point, some of the qualifications of the airports in the places where demand plays a crucial role in this decision of the carriers. Thus, evaluating the factors considered in the airport selection for air cargo carriers during the COVID-19 period is curious. This study proposes a triangular fuzzy Dombi-Bonferroni best-worst method (BWM) framework with vast flexibility to establish the priority preferences of factors considered in selecting airports. The fuzzy BWM model becomes a superior decision support system by combining the Bonferroni mean operator's ability to consider interrelationships between attributes and the flexibility of the Dombi operator. In this sense, we highlight eighteen criteria based on five airport aspects: location, physical features, performance, costs, and reputation. Findings reveal that the foremost aspects are location and costs, whereas the most crucial factors are airport charges and handling charges. The study suggests that airports should follow a low-price policy for airport-related charges without compromising their sustainability to have a share of the increasing number of air cargo flights, especially during the COVID-19 period, when airline passenger flights are decreased. The study is crucial in deciding the strategy and policy of air cargo carriers and airports during the pandemic period.
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Highlights Evaluated the factors considered in the airport selection for air cargo carriers. Introduced a fuzzy Best-Worst Dombi-Bonferroni mean operator model for this aim. This flexible model can consider interrelationships between the evaluation criteria. Airport location and airport costs are discovered as the essential aspects. Airport charges, handling charges, and airport security are the key factors.
Exploring factors affecting airport selection during the COVID-19 pandemic from air cargo carriers’ perspective through the triangular fuzzy Dombi-Bonferroni BWM methodology
2022-09-09
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Research on Airport Site Selection Based on Triangular Fuzzy Number
British Library Conference Proceedings | 2014
|Taylor & Francis Verlag | 2021
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