UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Innovative last mile delivery concepts: Evaluating last mile delivery using a traffic simulator

Johnson, D; Chaniotakis, E; (2021) Innovative last mile delivery concepts: Evaluating last mile delivery using a traffic simulator. In: 2021 7th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS). IEEE: Heraklion, Greece. Green open access

[thumbnail of MT_ITS_2021 (7).pdf]
Preview
Text
MT_ITS_2021 (7).pdf - Accepted Version

Download (588kB) | Preview

Abstract

This paper investigates, through a simulation approach, how novel alternative last-mile solutions (LMS) can harmonise network efficiency with environmental sustainability in a Washington D.C. urban setting. The ability of public buses to scale delivery services with demand was fundamental to reducing Greenhouse Gas (GHG) emissions and harmful air pollutants. Extending the network by increasing the number of delivery points, this paper employed a K-means clustering algorithm to determine optimal locations of Urban Consolidation Centres (UCCs). Utilising UCCs enabled further environmental and efficiency gains to be realised through consolidation and the ability to deliver "very last mile" through E-cargo bikes.

Type: Proceedings paper
Title: Innovative last mile delivery concepts: Evaluating last mile delivery using a traffic simulator
Event: 2021 7th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS)
Dates: 16 June 2021 - 17 June 2021
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/mt-its49943.2021.9529279
Publisher version: http://dx.doi.org/10.1109/mt-its49943.2021.9529279
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Greenhouse effect, Atmospheric modeling, Green products, Clustering algorithms, Air pollution, Intelligent transportation systems
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Bartlett School Env, Energy and Resources
URI: https://discovery.ucl.ac.uk/id/eprint/10134160
Downloads since deposit
328Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item