ijerph-19-11667-v2.pdf (8.72 MB)
Download fileEmission estimation of on-demand meal delivery services using a macroscopic simulation
journal contribution
posted on 2023-02-01, 09:55 authored by Maren Schnieder, Christopher Hinde, Andrew WestAndrew WestWhile macroscopic simulations of passenger vehicle traffic within cities are now common practice, the integration of last mile delivery into a macroscopic simulation to evaluate the emissions has seldomly been achieved. In fact, studies focusing solely on last mile delivery generally focus on evaluating the delivery service itself. This ignores the effect the delivery service may have on the traffic flow in cities, and therefore, on the resulting emissions. This study fills this gap by presenting the results of two macroscopic traffic simulations of New York City (NYC) in PTV VISUM: (i) on-demand meal delivery services, where the emissions are evaluated for each OD-Pairs (i.e., each trip) and (ii) on-demand meal delivery services, where the emissions are evaluated for each link of the network (i.e., street). This study highlights the effect on-demand meal delivery has on the travelled distance (i.e., detours), congestion and emissions per km of every vehicle in the network, not just the delivery vehicles.
Funding
EPSRC Centre for Doctoral Training in Embedded Intelligence
Engineering and Physical Sciences Research Council
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History
School
- Mechanical, Electrical and Manufacturing Engineering
- Science
Department
- Computer Science
Published in
International Journal of Environmental Research and Public HealthVolume
19Issue
18Publisher
MDPIVersion
- VoR (Version of Record)
Rights holder
© The AuthorsPublisher statement
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/).Acceptance date
2022-09-14Publication date
2022-09-16Copyright date
2022ISSN
1661-7827eISSN
1660-4601Publisher version
Language
- en