The University of Southampton
University of Southampton Institutional Repository

Using an agent-based model to explore alternative modes of last-mile parcel delivery in urban contexts

Using an agent-based model to explore alternative modes of last-mile parcel delivery in urban contexts
Using an agent-based model to explore alternative modes of last-mile parcel delivery in urban contexts

The scale of parcel delivery is increasing rapidly, with indications that it will continue to do so. This presents a challenge both to those in the industry who wish to understand how they might adapt and change their ways of doing delivery and the policymakers who would like to encourage this in order to positively impact urban areas in terms of traffic and pollution. We present an early implementation of an agent-based modelling framework of parcel delivery processes, flexible enough to be extended to explore a variety of scenarios. We apply it to a baseline case study to begin the process of exploring the effectiveness of switching to a different method of delivery.

Agent based modelling, Freight, Parcel delivery
1-4
Association for Computing Machinery
Wise, Sarah
bfcbe31a-3e24-4096-b5d7-7cef57196a00
Cheliotis, Kostas
7ca497b2-e115-42b2-b357-de63fd32771f
Bates, Oliver
ef8b73a4-6d8e-4a2b-8669-facda520627a
Friday, Adrian
d567d50d-bd9f-4be3-b693-6cacae6a8c5d
Allen, Julian
5a70d3a9-57ab-4f92-bd40-682e51aebfec
McLeod, Fraser
93da13ec-7f81-470f-8a01-9339e80abe98
Cherrett, Tom
e5929951-e97c-4720-96a8-3e586f2d5f95
Wise, Sarah
bfcbe31a-3e24-4096-b5d7-7cef57196a00
Cheliotis, Kostas
7ca497b2-e115-42b2-b357-de63fd32771f
Bates, Oliver
ef8b73a4-6d8e-4a2b-8669-facda520627a
Friday, Adrian
d567d50d-bd9f-4be3-b693-6cacae6a8c5d
Allen, Julian
5a70d3a9-57ab-4f92-bd40-682e51aebfec
McLeod, Fraser
93da13ec-7f81-470f-8a01-9339e80abe98
Cherrett, Tom
e5929951-e97c-4720-96a8-3e586f2d5f95

Wise, Sarah, Cheliotis, Kostas, Bates, Oliver, Friday, Adrian, Allen, Julian, McLeod, Fraser and Cherrett, Tom (2018) Using an agent-based model to explore alternative modes of last-mile parcel delivery in urban contexts. In Proceedings of the 1st ACM SIGSPATIAL International Workshop on GeoSpatial Simulation, GeoSim 2018. Association for Computing Machinery. pp. 1-4 . (doi:10.1145/3284038.3284039).

Record type: Conference or Workshop Item (Paper)

Abstract

The scale of parcel delivery is increasing rapidly, with indications that it will continue to do so. This presents a challenge both to those in the industry who wish to understand how they might adapt and change their ways of doing delivery and the policymakers who would like to encourage this in order to positively impact urban areas in terms of traffic and pollution. We present an early implementation of an agent-based modelling framework of parcel delivery processes, flexible enough to be extended to explore a variety of scenarios. We apply it to a baseline case study to begin the process of exploring the effectiveness of switching to a different method of delivery.

This record has no associated files available for download.

More information

Published date: 6 November 2018
Venue - Dates: 1st ACM SIGSPATIAL International Workshop on GeoSpatial Simulation, GeoSim 2018, , Seattle, United States, 2018-11-06
Keywords: Agent based modelling, Freight, Parcel delivery

Identifiers

Local EPrints ID: 428771
URI: http://eprints.soton.ac.uk/id/eprint/428771
PURE UUID: 44cadb90-ccee-49c1-9284-45b71ec222e2
ORCID for Fraser McLeod: ORCID iD orcid.org/0000-0002-5784-9342
ORCID for Tom Cherrett: ORCID iD orcid.org/0000-0003-0394-5459

Catalogue record

Date deposited: 08 Mar 2019 17:30
Last modified: 18 Mar 2024 02:40

Export record

Altmetrics

Contributors

Author: Sarah Wise
Author: Kostas Cheliotis
Author: Oliver Bates
Author: Adrian Friday
Author: Julian Allen
Author: Fraser McLeod ORCID iD
Author: Tom Cherrett ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×