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Land Efficient Mobility: Evaluation of Autonomous Last Mile Delivery Concepts in London
Land efficient last mile delivery concepts are key to reducing the traffic in cities and to minimising its environmental impact. This paper proposes a decision support method that evaluates the autonomous delivery concept and applies it to one year’s worth of real parcel delivery data in London. Del...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9407752/ https://www.ncbi.nlm.nih.gov/pubmed/36011922 http://dx.doi.org/10.3390/ijerph191610290 |
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author | Schnieder, Maren Hinde, Chris West, Andrew |
author_facet | Schnieder, Maren Hinde, Chris West, Andrew |
author_sort | Schnieder, Maren |
collection | PubMed |
description | Land efficient last mile delivery concepts are key to reducing the traffic in cities and to minimising its environmental impact. This paper proposes a decision support method that evaluates the autonomous delivery concept and applies it to one year’s worth of real parcel delivery data in London. Deliveries to modular and fixed lockers with autonomous delivery vans and road-based autonomous lockers (RAL) and sidewalk autonomous delivery robots (SADRs) have been simulated. Various types of autonomous delivery van fleets, depot locations, customer modes of transport, parcel demand levels, parcel locker network densities and adjustment frequencies of modular lockers are considered. A routing and scheduling algorithm is used to optimise delivery tours and vehicle choice. The optimisation algorithm finds both the optimal number of collection and delivery points (CDPs) and the delivery concept (e.g., modular lockers, sidewalk autonomous delivery robot) depending on the customer mode chosen. The results show that modular lockers which are adjusted weekly are the best option for the current or higher parcel demand levels and road-autonomous parcel lockers (RAL-R) are the best option at the lowest parcel demand level. |
format | Online Article Text |
id | pubmed-9407752 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-94077522022-08-26 Land Efficient Mobility: Evaluation of Autonomous Last Mile Delivery Concepts in London Schnieder, Maren Hinde, Chris West, Andrew Int J Environ Res Public Health Article Land efficient last mile delivery concepts are key to reducing the traffic in cities and to minimising its environmental impact. This paper proposes a decision support method that evaluates the autonomous delivery concept and applies it to one year’s worth of real parcel delivery data in London. Deliveries to modular and fixed lockers with autonomous delivery vans and road-based autonomous lockers (RAL) and sidewalk autonomous delivery robots (SADRs) have been simulated. Various types of autonomous delivery van fleets, depot locations, customer modes of transport, parcel demand levels, parcel locker network densities and adjustment frequencies of modular lockers are considered. A routing and scheduling algorithm is used to optimise delivery tours and vehicle choice. The optimisation algorithm finds both the optimal number of collection and delivery points (CDPs) and the delivery concept (e.g., modular lockers, sidewalk autonomous delivery robot) depending on the customer mode chosen. The results show that modular lockers which are adjusted weekly are the best option for the current or higher parcel demand levels and road-autonomous parcel lockers (RAL-R) are the best option at the lowest parcel demand level. MDPI 2022-08-18 /pmc/articles/PMC9407752/ /pubmed/36011922 http://dx.doi.org/10.3390/ijerph191610290 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Schnieder, Maren Hinde, Chris West, Andrew Land Efficient Mobility: Evaluation of Autonomous Last Mile Delivery Concepts in London |
title | Land Efficient Mobility: Evaluation of Autonomous Last Mile Delivery Concepts in London |
title_full | Land Efficient Mobility: Evaluation of Autonomous Last Mile Delivery Concepts in London |
title_fullStr | Land Efficient Mobility: Evaluation of Autonomous Last Mile Delivery Concepts in London |
title_full_unstemmed | Land Efficient Mobility: Evaluation of Autonomous Last Mile Delivery Concepts in London |
title_short | Land Efficient Mobility: Evaluation of Autonomous Last Mile Delivery Concepts in London |
title_sort | land efficient mobility: evaluation of autonomous last mile delivery concepts in london |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9407752/ https://www.ncbi.nlm.nih.gov/pubmed/36011922 http://dx.doi.org/10.3390/ijerph191610290 |
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