| Autor: |
Matt Grote, Andrew Oakey, Aliaksei Pilko, Jakub Krol, Alex Blakesley, Tom Cherrett, James Scanlan, Bani Anvari, Antonio Martinez-Sykora |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
Transport Economics and Management, Vol 2, Iss , Pp 58-75 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2949-8996 |
| DOI: |
10.1016/j.team.2024.03.001 |
| Popis: |
Uncrewed Aerial Vehicles (UAVs; commonly known as drones) have been gaining interest as a potential transport mode for logistics (i.e., payload delivery), bringing suggested benefits such as reduced transit times and improved access in hard-to-reach locations. However, drones have yet to become widely established in routine logistics systems, with a postulated reason being that the higher costs associated with operating drones relative to traditional surface transport modes (e.g., vans, bicycle couriers) present a barrier to uptake. Based on case studies of two real-world logistics networks transporting patient pathology samples in a healthcare setting in the United Kingdom, this study investigated the effects of the relative costs of drones on mode choice in integrated, multi-modal logistics systems. Results suggested that drones could be a financially viable option if their costs reduced below ∼19% of current values, although such a reduction may not be feasible, even in a future involving increased drone automation. Drones reduced sample transit times by up to ∼70% compared to vans but benefits to the wider healthcare system were negligible because level of service requirements for transit times could be achieved by all modes. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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