Drone Technology for Last-Mile Delivery – UK
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Date
2025-05
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Publisher
leeds beckett
Abstract
This research explores the challenges and opportunities of using Unmanned Aircraft Systems (UAS), commonly referred to as drones, for last-mile delivery in the UK retail logistics sector. It investigates whether current drone technology can overcome the regulatory and technological barriers, particularly those imposed by the UK Civil Aviation Authority (CAA), and how these technologies contribute to sustainability and efficiency. The study adopts a qualitative approach through literature review and online interviews with key stakeholders, including logistics professionals, drone operators, and consumers. Findings reveal that although legal restrictions are currently a major limitation, there is optimism that ongoing technological advancements—particularly in battery life, controllability, and payload—could enable safer, more efficient operations. The study concludes that while large-scale deployment in urban areas is not currently viable, there is potential for limited implementation, especially in non-urban zones. Recommendations include standardized drone operator training, an industry-wide code of conduct, and continuous monitoring of drone and battery technology.
Description
This dissertation explores the use of drones (Unmanned Aircraft Systems) for last-mile delivery in the UK retail sector. It examines whether current technology can overcome legal and technical barriers, especially those set by the UK Civil Aviation Authority. Using a qualitative method that includes literature review and interviews, the study finds that drones offer benefits in efficiency and sustainability but face restrictions in urban areas. The research concludes that limited use is possible and recommends operator training, a code of practice, and monitoring of drone technology advancements.
Keywords
sustainability, last-mile delivery, technological, drone
Citation
The data for a qualitative research survey does not need to come from a statistically calculated population sample (Gill 2020), and an estimated (Guarte & Barrios 2006) . Therefore, purposive sampling method has been used (Campbell et al. 2020).