Cargando…
Carbon emissions reductions in last mile and grocery deliveries utilizing air and ground autonomous vehicles
The rapid growth of e-commerce and package deliveries across the globe is demanding new solutions to meet customers’ desire for more and faster deliveries. New driverless air and ground vehicles are being launched and tested to deliver products or services in the areas of retail, groceries, and heal...
Autor principal: | |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7341048/ https://www.ncbi.nlm.nih.gov/pubmed/32834736 http://dx.doi.org/10.1016/j.trd.2020.102443 |
_version_ | 1783555153117315072 |
---|---|
author | Figliozzi, Miguel A. |
author_facet | Figliozzi, Miguel A. |
author_sort | Figliozzi, Miguel A. |
collection | PubMed |
description | The rapid growth of e-commerce and package deliveries across the globe is demanding new solutions to meet customers’ desire for more and faster deliveries. New driverless air and ground vehicles are being launched and tested to deliver products or services in the areas of retail, groceries, and healthcare. This research focuses on the efficiency of autonomous (driverless) air and ground delivery vehicles in terms of vehicle-miles, energy consumption, and CO(2) emissions. Three types of autonomous vehicle are analyzed: drones or unmanned aerial vehicles (UAVs), sidewalk autonomous delivery robots (SADRs), and road autonomous delivery robots (RADRs). The CO(2) emissions of these autonomous vehicles are compared against emissions from an electric van (e-van), a conventional internal combustion engine van, and driving to a store utilizing electric and conventional vehicles. The impacts of vehicle capacity, range, and time constraints are analyzed as well as the impacts of number of deliveries, service time, area of service, and depot-service area distance. Novel results are found regarding the efficiency of each vehicle type and tradeoffs between driving to a store and store delivery as a function of order size and type of vehicle driven by consumers. |
format | Online Article Text |
id | pubmed-7341048 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-73410482020-07-08 Carbon emissions reductions in last mile and grocery deliveries utilizing air and ground autonomous vehicles Figliozzi, Miguel A. Transp Res D Transp Environ Article The rapid growth of e-commerce and package deliveries across the globe is demanding new solutions to meet customers’ desire for more and faster deliveries. New driverless air and ground vehicles are being launched and tested to deliver products or services in the areas of retail, groceries, and healthcare. This research focuses on the efficiency of autonomous (driverless) air and ground delivery vehicles in terms of vehicle-miles, energy consumption, and CO(2) emissions. Three types of autonomous vehicle are analyzed: drones or unmanned aerial vehicles (UAVs), sidewalk autonomous delivery robots (SADRs), and road autonomous delivery robots (RADRs). The CO(2) emissions of these autonomous vehicles are compared against emissions from an electric van (e-van), a conventional internal combustion engine van, and driving to a store utilizing electric and conventional vehicles. The impacts of vehicle capacity, range, and time constraints are analyzed as well as the impacts of number of deliveries, service time, area of service, and depot-service area distance. Novel results are found regarding the efficiency of each vehicle type and tradeoffs between driving to a store and store delivery as a function of order size and type of vehicle driven by consumers. Elsevier Ltd. 2020-08 2020-07-08 /pmc/articles/PMC7341048/ /pubmed/32834736 http://dx.doi.org/10.1016/j.trd.2020.102443 Text en © 2020 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Figliozzi, Miguel A. Carbon emissions reductions in last mile and grocery deliveries utilizing air and ground autonomous vehicles |
title | Carbon emissions reductions in last mile and grocery deliveries utilizing air and ground autonomous vehicles |
title_full | Carbon emissions reductions in last mile and grocery deliveries utilizing air and ground autonomous vehicles |
title_fullStr | Carbon emissions reductions in last mile and grocery deliveries utilizing air and ground autonomous vehicles |
title_full_unstemmed | Carbon emissions reductions in last mile and grocery deliveries utilizing air and ground autonomous vehicles |
title_short | Carbon emissions reductions in last mile and grocery deliveries utilizing air and ground autonomous vehicles |
title_sort | carbon emissions reductions in last mile and grocery deliveries utilizing air and ground autonomous vehicles |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7341048/ https://www.ncbi.nlm.nih.gov/pubmed/32834736 http://dx.doi.org/10.1016/j.trd.2020.102443 |
work_keys_str_mv | AT figliozzimiguela carbonemissionsreductionsinlastmileandgrocerydeliveriesutilizingairandgroundautonomousvehicles |