Summary
This paper presents a novel hybrid multi-criteria decision-making (MCDM) framework combining the fuzzy FARE and ADAM methods to systematically assess and rank risks associated with different drone types for urban logistics delivery. The analysis identified single-rotor microdrones weighing up to 4.4 lb as the optimal choice from a risk perspective, establishing a structured approach to evaluating hazards including air conflicts, loss of control, and system failures. The framework and associated risk criteria provide practical guidance for selecting the least risky drone configurations for city logistics applications.
UK applicability
The risk assessment framework and criteria may be applicable to UK urban logistics contexts, though the paper does not appear to address UK-specific regulations, airspace constraints, or local delivery requirements. Adoption would require validation against UK Civil Aviation Authority guidelines and integration with existing UK urban air mobility policy.
Key measures
Risk criteria evaluated through fuzzy Factor Relationship (FARE) method for weighting and Axial Distance-based Aggregated Measurement (ADAM) method for ranking drone alternatives
Outcomes reported
The study identified and ranked risks associated with different types of drones for urban delivery using a hybrid multi-criteria decision-making model. Single-rotor microdrones (up to 4.4 lb) were determined to present the lowest risk profile, followed by other microdrone types.
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