A Comparative Review of Air Drones (UAVs) and Delivery Bots (SUGVs) for Automated Last Mile Home Delivery

<i>Background</i>: UAVs (Unmanned Aerial Vehicles) and SUGVs (Sidewalk Unmanned Ground Vehicles) are two prominent options to revolutionize last mile home delivery. However, there is no literature yet addressing a comprehensive assessment of them. To bridge this research gap, this paper...

Full description

Saved in:
Bibliographic Details
Main Authors: Fang Li, Oliver Kunze
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Logistics
Subjects:
Online Access:https://www.mdpi.com/2305-6290/7/2/21
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1839642895516172288
author Fang Li
Oliver Kunze
author_facet Fang Li
Oliver Kunze
author_sort Fang Li
collection DOAJ
description <i>Background</i>: UAVs (Unmanned Aerial Vehicles) and SUGVs (Sidewalk Unmanned Ground Vehicles) are two prominent options to revolutionize last mile home delivery. However, there is no literature yet addressing a comprehensive assessment of them. To bridge this research gap, this paper aimed to compare UAVs to SUGVs in the context of urban parcel delivery from a practical, conceptual, technological, commercial, and environmental perspective. <i>Methodology</i>: Based on structured literature and web research, this paper provided a comparative status quo review of these two delivery concepts. We introduced a parameter-based cost calculus model to estimate the costs per shipment for each technology. To detect the key cost drivers, we applied a one-way sensitivity analysis, as well as a “full factorial design of experiment” approach. <i>Results</i>: These key cost drivers for both operations are the “number of vehicles per operator” and the “average beeline service radius”. From today’s commercial point of view, our model indicated better profitability of SUGVs. However, technical and regulatory developments may render different results in the future. As SUGVs emit significantly less noise than UAVs, we assume that SUGVs have an additional advantage for usage in autonomous urban last mile delivery from a resident’s perspective. <i>Conclusions</i>: Both key cost drivers will significantly influence the commercial viability of unmanned home delivery services. Safety and security aspects will determine regulatory rules on “number of vehicles per operator”. To increase the “average beeline service radius”, UAVs could profit from mothership delivery concepts while SUGV delivery may co-use existing public transport infrastructure.
format Article
id doaj-art-334f3d1be1be4c4ba4c229b9cce5b07b
institution Matheson Library
issn 2305-6290
language English
publishDate 2023-04-01
publisher MDPI AG
record_format Article
series Logistics
spelling doaj-art-334f3d1be1be4c4ba4c229b9cce5b07b2025-07-02T05:48:01ZengMDPI AGLogistics2305-62902023-04-01722110.3390/logistics7020021A Comparative Review of Air Drones (UAVs) and Delivery Bots (SUGVs) for Automated Last Mile Home DeliveryFang Li0Oliver Kunze1Institute for Logistics, Risk- and Resource Management (ILR), Neu-Ulm University of Applied Sciences, Wileystraße 1, 89231 Neu-Ulm, GermanyInstitute for Logistics, Risk- and Resource Management (ILR), Neu-Ulm University of Applied Sciences, Wileystraße 1, 89231 Neu-Ulm, Germany<i>Background</i>: UAVs (Unmanned Aerial Vehicles) and SUGVs (Sidewalk Unmanned Ground Vehicles) are two prominent options to revolutionize last mile home delivery. However, there is no literature yet addressing a comprehensive assessment of them. To bridge this research gap, this paper aimed to compare UAVs to SUGVs in the context of urban parcel delivery from a practical, conceptual, technological, commercial, and environmental perspective. <i>Methodology</i>: Based on structured literature and web research, this paper provided a comparative status quo review of these two delivery concepts. We introduced a parameter-based cost calculus model to estimate the costs per shipment for each technology. To detect the key cost drivers, we applied a one-way sensitivity analysis, as well as a “full factorial design of experiment” approach. <i>Results</i>: These key cost drivers for both operations are the “number of vehicles per operator” and the “average beeline service radius”. From today’s commercial point of view, our model indicated better profitability of SUGVs. However, technical and regulatory developments may render different results in the future. As SUGVs emit significantly less noise than UAVs, we assume that SUGVs have an additional advantage for usage in autonomous urban last mile delivery from a resident’s perspective. <i>Conclusions</i>: Both key cost drivers will significantly influence the commercial viability of unmanned home delivery services. Safety and security aspects will determine regulatory rules on “number of vehicles per operator”. To increase the “average beeline service radius”, UAVs could profit from mothership delivery concepts while SUGV delivery may co-use existing public transport infrastructure.https://www.mdpi.com/2305-6290/7/2/21automated vehiclescost analysisdelivery botsdroneslast mile deliverynoise
spellingShingle Fang Li
Oliver Kunze
A Comparative Review of Air Drones (UAVs) and Delivery Bots (SUGVs) for Automated Last Mile Home Delivery
Logistics
automated vehicles
cost analysis
delivery bots
drones
last mile delivery
noise
title A Comparative Review of Air Drones (UAVs) and Delivery Bots (SUGVs) for Automated Last Mile Home Delivery
title_full A Comparative Review of Air Drones (UAVs) and Delivery Bots (SUGVs) for Automated Last Mile Home Delivery
title_fullStr A Comparative Review of Air Drones (UAVs) and Delivery Bots (SUGVs) for Automated Last Mile Home Delivery
title_full_unstemmed A Comparative Review of Air Drones (UAVs) and Delivery Bots (SUGVs) for Automated Last Mile Home Delivery
title_short A Comparative Review of Air Drones (UAVs) and Delivery Bots (SUGVs) for Automated Last Mile Home Delivery
title_sort comparative review of air drones uavs and delivery bots sugvs for automated last mile home delivery
topic automated vehicles
cost analysis
delivery bots
drones
last mile delivery
noise
url https://www.mdpi.com/2305-6290/7/2/21
work_keys_str_mv AT fangli acomparativereviewofairdronesuavsanddeliverybotssugvsforautomatedlastmilehomedelivery
AT oliverkunze acomparativereviewofairdronesuavsanddeliverybotssugvsforautomatedlastmilehomedelivery
AT fangli comparativereviewofairdronesuavsanddeliverybotssugvsforautomatedlastmilehomedelivery
AT oliverkunze comparativereviewofairdronesuavsanddeliverybotssugvsforautomatedlastmilehomedelivery