TY - JOUR
T1 - Assessing overnight parking infrastructure policies for commercial vehicles in cities using agent-based simulation
AU - Gopalakrishnan, Raja
AU - Alho, André Romano
AU - Sakai, Takanori
AU - Hara, Yusuke
AU - Cheah, Lynette
AU - Ben-Akiva, Moshe
N1 - Funding Information:
Funding: This research was funded in part by the Singapore Ministry of National Development and the National Research Foundation, Prime Minister’s Office under the Land and Liveability National Innovation Challenge Research Programme, grant number L2 NIC Award No L2 NICTDF1-2016-1.
Funding Information:
This research was funded in part by the Singapore Ministry of National Development and the National Research Foundation, Prime Minister's Office under the Land and Liveability National Innovation Challenge Research Programme, grant number L2 NIC Award No L2 NICTDF1-2016-1. We thank the Singapore Urban Redevelopment Authority, Land Transport Authority and JTC Corporation for their support. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors only.
Publisher Copyright:
© 2020 by the authors.
PY - 2020/4/1
Y1 - 2020/4/1
N2 - Urban freight transport is primarily fulfilled by commercial road vehicles. Within cities, overnight parking is a critical element influencing commercial vehicle operations, particularly for heavy vehicles with limited parking options. Providing adequate overnight parking spaces for commercial vehicles tends to be a challenge for urban planners. Inadequate parking supply can result in illegal parking and additional vehicle kilometers traveled, contributing to traffic congestion and air pollution. The lack of tools for evaluating the impacts of changing parking supply is an impediment in developing parking-related solutions that aim to minimize the negative externalities. In this study, we develop an overnight parking choice model for heavy commercial vehicles and integrate it with SimMobility, an agent-based urban simulation platform, demonstrating the potential of this tool for policy evaluation. Using simulations applied to a case study in Singapore, we compare two parking supply scenarios in terms of vehicle kilometers traveled due to changes in the first and last trips of vehicle tours, as well as resulting impacts in traffic flows.
AB - Urban freight transport is primarily fulfilled by commercial road vehicles. Within cities, overnight parking is a critical element influencing commercial vehicle operations, particularly for heavy vehicles with limited parking options. Providing adequate overnight parking spaces for commercial vehicles tends to be a challenge for urban planners. Inadequate parking supply can result in illegal parking and additional vehicle kilometers traveled, contributing to traffic congestion and air pollution. The lack of tools for evaluating the impacts of changing parking supply is an impediment in developing parking-related solutions that aim to minimize the negative externalities. In this study, we develop an overnight parking choice model for heavy commercial vehicles and integrate it with SimMobility, an agent-based urban simulation platform, demonstrating the potential of this tool for policy evaluation. Using simulations applied to a case study in Singapore, we compare two parking supply scenarios in terms of vehicle kilometers traveled due to changes in the first and last trips of vehicle tours, as well as resulting impacts in traffic flows.
KW - City logistics
KW - Freight parking
KW - Parking choice
KW - SimMobility
KW - Urban freight
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U2 - 10.3390/su12072673
DO - 10.3390/su12072673
M3 - Article
AN - SCOPUS:85083659634
VL - 12
JO - Sustainability (Switzerland)
JF - Sustainability (Switzerland)
SN - 2071-1050
IS - 7
M1 - 2673
ER -
