Exploring The Enablers Of Passenger Drone Development In India’s Aviation Sector: A Factor Analysis And Fuzzy MCDM Approach
DOI:
https://doi.org/10.64252/sw1ean96Keywords:
Enablers, Bartlett’s test, Exploratory factor analysis, Fuzzy multiple criteria decision making, PCA, Passengers DronesAbstract
Drones have developed quickly and are now used in the logistics, healthcare, military, and agricultural sectors. Their position grew dramatically during the COVID-19 epidemic in several industries, especially transportation, to meet growing client demands and logistical issues. Drones are used for purposes other than delivery, such as emergency medical treatment, precision farming, and surveillance. Emerging industries with enormous economic potential include passenger and package transportation, often known as urban air mobility, where Europe is at the forefront of technology and regulatory developments. This study analyzes public perceptions and expert insights to identify critical enablers for the deployment of passenger drones using exploratory factor analysis (EFA) and fuzzy multi-criteria decision-making (MCDM). The results highlight important elements for successful integration into urban systems, guaranteeing efficiency, safety, and social acceptance.
With an emphasis on factor analysis and fuzzy multi-criteria decision-making (Fuzzy MCDM), this study investigates the factors that facilitate the deployment of passenger drones in India. The coherence of subscales and constructs was evaluated using exploratory factor analysis (EFA), which was validated by Bartlett's test (p < 0.001) and KMO (0.691). Eighty-seven percent of the variance was explained by seven factors. Fuzzy MCDM gave expert input (N=60) priority to enablers. The findings prioritized infrastructure, innovation, and policy, ranking operational feasibility (0.774), technological advancements (0.758), and regulatory framework (0.735) as key. Safety (0.709) and public acceptance (0.726) were also noteworthy. Although they scored lower, environmental sustainability (0.625) and economic viability (0.696) are nevertheless crucial for long-term adoption. The strategic evolution of passenger drone operations is guided by these findings.
