An observational study in Health Knowledge, Attitudes, Practice, sponsored by Bournemouth University. Completed at 4 sites in United Kingdom. Open to participants aged 18 Years to 99 Years. Per ClinicalTrials.gov, last updated 2024-01-11.
Sponsored by Bournemouth University · Observational
Vans are the fastest-growing category of licensed road vehicle in the UK with growing carbon dioxide (CO2) emissions. The proposed research into how Unmanned Aerial Vehicles (UAVs) and land logistics systems can be combined and managed will provide fundamental new understanding into the impacts of regulation and operating criteria on energy efficiency and costs. Medical logistics could be the first domain to utilise UAVs on a commercial scale, with preliminary analysis on pathology logistics within Southampton indicating that UAVs would significantly reduce CO2 emissions. With the National Health Service (NHS) spending an estimated £2.5 billion annually on pathology logistics and with patient numbers rising, there is a need to re-think how logistics costs could be reduced whilst improving bleed-to-diagnosis times for patients and energy demand.
The research vision is to examine the energy reduction potential of logistics solutions involving UAVs operating alongside sustainable last-mile delivery solutions (cargo cycles and walking porters via micro-consolidation points).
This involves understanding UAV operations in airspace shared with manned aircraft. The project focuses on a case study and trials based around NHS pathology sample transportation in the Solent and Dorset region. The key research objectives are to:
Bournemouth University is the lead sponsor of 52 studies on the registry; 10 are open to participants now.
Counted across the registry records on this site, refreshed daily.
Work Package 1
Work Package 5
Exclusion Criteria:
Questionnaire to a representative panel of the public
To explore representations of UAVs
Time frame: 1 - 33 months
Questionnaire to a representative panel of the public
To understand public concerns
Time frame: 1 - 33 months
Questionnaire to a representative panel of the public
To determine how UAVs empower or constrain pathways to adoption
Time frame: 1 - 33 months
This study is completed, as verified in Jan 2024. You cannot join it, but the record below documents what was studied.
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Bournemouth University