Assessing Overnight Parking Infrastructure Policies for Commercial Vehicles in Cities Using Agent-Based Simulation

Raja Gopalakrishnan; Andre Romano Alho; Takanori Sakai; Yusuke Hara; Lynette Cheah; Moshe Ben-Akiva

doi:10.3390/su12072673

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Assessing Overnight Parking Infrastructure Policies for Commercial Vehicles in Cities Using Agent-Based Simulation

Journal article

Open access

Peer reviewed

Assessing Overnight Parking Infrastructure Policies for Commercial Vehicles in Cities Using Agent-Based Simulation

Raja Gopalakrishnan, Andre Romano Alho, Takanori Sakai, Yusuke Hara, Lynette Cheah and Moshe Ben-Akiva

Sustainability, Vol.12(7), pp.1-12

2020

DOI: https://doi.org/10.3390/su12072673

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Abstract

urban freight

freight parking

city logistics

parking choice

SimMobility

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.

Details

Title: Assessing Overnight Parking Infrastructure Policies for Commercial Vehicles in Cities Using Agent-Based Simulation
Authors: Raja Gopalakrishnan - Singapore University of Technology and Design
Andre Romano Alho (Corresponding Author) - Singapore-MIT Alliance for Research and Technology
Takanori Sakai - Singapore-MIT Alliance for Research and Technology
Yusuke Hara - Singapore-MIT Alliance for Research and Technology
Lynette Cheah - Singapore University of Technology and Design
Moshe Ben-Akiva - Massachusetts Institute of Technology
Publication details: Sustainability, Vol.12(7), pp.1-12
Publisher: MDPI AG
Date published: 2020
DOI: 10.3390/su12072673
ISSN: 2071-1050
Copyright note: © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Organisation Unit: School of Science, Technology and Engineering
Language: English
Record Identifier: 991029278702621
Output Type: Journal article

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Web Of Science research areas: Environmental Sciences; Environmental Studies; Green & Sustainable Science & Technology

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