Clinical trial NCT04990843: E-Drone: Transforming the Energy Demand of Supply Chains Through Integrated UAV-to-land Logistics for 2030
Official title: E-Drone: Transforming the Energy Demand of Supply Chains Through Integrated UAV-to-land Logistics for 2030
Study type: OBSERVATIONAL
Overall status: COMPLETED
Conditions: Health Knowledge, Attitudes, Practice
Keywords: Un-crewed aerial vehicles
Integrated logistics
Healthcare
Energy demand
Social practices
Governance
Lead sponsor: Bournemouth University
Sponsor class: OTHER
Collaborators: name: University of Southampton
name: University College, London
name: University of Leeds
First posted: 2021-08-05
Enrollment: 24
Sex: ALL
Minimum age (years): 18
Maximum age (years): 99
Standard ages: ADULT
OLDER_ADULT
Accepts healthy volunteers: no
Observational model: CASE_ONLY
Time perspective: PROSPECTIVE
Sampling method: NON_PROBABILITY_SAMPLE
Study population: * Task 1.1 - health staff/managers dealing with dispatch or receipt of patient diagnostics, bloods or pharmacy products at hospitals and GP surgeries, and transport staff..
* Task 1.2 qualitative - key stakeholder groups involved in the project including, NHS staff, will be via the project teams' commercial partners, and the general public.
* Task 1.2 quantitative - a representative sample of the UK population.
* Task 1.3 - logistics staff and health staff/managers dealing with dispatch or receipt of patient diagnostics, bloods or pharmacy products at hospitals and GP surgeries.
* Task 5.1 - key stakeholder groups involved in the project logistics providers, and a wider sample of the 144 organisations that responded to the Government consultation on the Future of Drones (January 2019).
* Tasks 5.2 - Two sub-samples from task 5.1.
* Task 6.2 - key stakeholders and members of the general public.

Brief summary: 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:

1. Investigate the collective transport and energy impacts of current 'business-as-usual' NHS pathology logistics across the Solent region;
2. Develop new simulation tools to quantify the energy consumption of UAVs and land logistics systems resulting from new types of traffic regulation for shared airspace and the operating requirements of UAVs;
3. Evaluate the impact on air space and energy use of a large scale take-up of UAVs for medical logistics across the Solent region;
4. Understand stakeholder concerns about UAVs;
5. Understand the regulatory and governance needs associated with UAV interventions that will lead to energy benefits in logistics.


Eligibility criteria: Inclusion Criteria:

* Work Package 1

  * Task 1.1: key informants in appropriate job roles, with attention purposefully paid to gender and age balance of participants.
  * Task 1.2: Interviews - a purposeful recruitment strategy will seek participants with a range of socio-demographic characteristics. Questionnaire - Prolific (or a similar commercial company) will distribute the questionnaire (n\~1000) to achieve a representative sample of the UK population.
  * Task 1.3: key informants in appropriate job roles, with attention purposefully paid to gender and age balance of participants.
* Work Package 5

  • Stakeholders with an interest in UAV use with a purposeful selection of participants with a range of socio-demographic characteristics.
* Work Package 6 • Anyone interacting with the serious game in dissemination events.

Exclusion Criteria:

• There are no specific exclusion criteria, though clearly some tasks require key informants with specific knowledge.

Primary outcomes:
measure: Questionnaire to a representative panel of the public
timeFrame: 1 - 33 months
measure: Questionnaire to a representative panel of the public
timeFrame: 1 - 33 months
measure: Questionnaire to a representative panel of the public
timeFrame: 1 - 33 months
Secondary outcomes:
Other outcomes:
Locations:
city: Dorchester
country: United Kingdom
facility: Dorset County Hospital NHS Foundation Trust
state: Dorset
city: Poole
country: United Kingdom
facility: University Hospitals Dorset NHS Foundation Trust
state: Dorset
city: Portsmouth
country: United Kingdom
facility: Portsmouth Hospitals University National Health Service Trust
state: Hampshire
city: Southampton
country: United Kingdom
facility: University Hospital Southampton NHS Foundation Trust
state: Hampshire
Study officials:
affiliation: Professor in Tourism
name: Janet Dickinson, Professor
role: PRINCIPAL_INVESTIGATOR
References: