Rights statement: ©2019 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Accepted author manuscript, 6.68 MB, PDF document
Available under license: CC BY-NC: Creative Commons Attribution-NonCommercial 4.0 International License
Final published version
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
}
TY - GEN
T1 - Park and parcel
T2 - an agent-based exploration of last-mile freight delivery behavior as it relates to parking
AU - Wise, Sarah
AU - Cheliotis, Kostas
AU - Bates, Oliver
AU - McLeod, Fraser
AU - Cherrett, Tom
AU - Allen, Julian
AU - Piecyk, Maja
AU - Bektas, Tolga
N1 - ©2019 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
PY - 2019/6/10
Y1 - 2019/6/10
N2 - Light goods vehicles are an important part of London traffic. With changes to delivery demand and traffic patterns more broadly, they often have a disproportionate impact on the functioning of cities. We partnered with industrial organizations specializing in last-mile parcel delivery, thereby gaining access to data which allowed us to construct an agent-based model of the last-mile delivery process. In this work, we expand upon the existing model to incorporate parking behavior, an important factor of delivery driving which is often overlooked in the literature. The tool we present can be used to explore different policy and infrastructure interventions.
AB - Light goods vehicles are an important part of London traffic. With changes to delivery demand and traffic patterns more broadly, they often have a disproportionate impact on the functioning of cities. We partnered with industrial organizations specializing in last-mile parcel delivery, thereby gaining access to data which allowed us to construct an agent-based model of the last-mile delivery process. In this work, we expand upon the existing model to incorporate parking behavior, an important factor of delivery driving which is often overlooked in the literature. The tool we present can be used to explore different policy and infrastructure interventions.
KW - Agent-based modeling
KW - Freight
KW - Last mile
KW - Parcel delivery
KW - Parking
KW - Autonomous agents
KW - Simulation platform
KW - Agent-based model
KW - Delivery process
KW - Freight deliveries
KW - Industrial organization
KW - Infrastructure interventions
KW - Computational methods
U2 - 10.23919/SpringSim.2019.8732864
DO - 10.23919/SpringSim.2019.8732864
M3 - Conference contribution/Paper
SN - 9781728135472
BT - 2019 Spring Simulation Conference (SpringSim)
PB - IEEE
ER -