Abstract
Digital technology can guarantee safety and security improvement in public transport together with increasing affordability for disabled travelers. This study aims to propose a hybrid multi-criteria decision-making method for prioritizing the digital technologies under sustainable transportation of disabled travelers under Fermatean fuzzy set context. For this purpose, main barriers are identified to implement the digital transportation under sustainable transportation for person with disabilities (PWDs). In the proposed method, firstly a novel weighting model is proposed to find the weights of the decision makers. Second, some Fermatean fuzzy interaction aggregation operators (AOs) are introduced to aggregate the decision information. Third, a combined criteria weight-determining model is developed based on Fermatean fuzzy criteria Importance through inter-criteria correlation and stepwise weight assessment ratio analysis models, which can overcome the insufficiencies of individual objective or subjective model. Based on the proposed AOs and weighting models, a hybrid double normalization-based multi-aggregation approach is proposed from Fermatean fuzzy perspective. Finally, a case study of digital technologies assessment for PWDs with sensitivity and comparative analyses are executed to illustrate the potentiality and practicality of the present approach. According to the findings, the most significant barriers to implement digital technology under sustainable transportation for PWDs are administrative restrictions (0.0819), inappropriate driver attitude (0.0791), and unable to secure wheelchair on vehicle (0.776), respectively. The evaluation results also show that the option artificial intelligence and machine learning has the highest overall utility degree (0.6701) among a set of five digital technologies. Hence, the findings of the study indicate that the present method can be used by public or private organizations to improve the transportation services for PWDs.
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