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

Raja Gopalakrishnan, André Romano Alho, Takanori Sakai, Yusuke Hara, Lynette Cheah and Moshe Ben-Akiva
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Raja Gopalakrishnan: Engineering Systems and Design, Singapore University of Technology and Design, Singapore 487372, Singapore
André Romano Alho: Future Urban Mobility, Singapore-MIT Alliance for Research and Technology, Singapore 487372, Singapore
Takanori Sakai: Future Urban Mobility, Singapore-MIT Alliance for Research and Technology, Singapore 487372, Singapore
Yusuke Hara: Future Urban Mobility, Singapore-MIT Alliance for Research and Technology, Singapore 487372, Singapore
Lynette Cheah: Engineering Systems and Design, Singapore University of Technology and Design, Singapore 487372, Singapore
Moshe Ben-Akiva: Intelligent Transportation Systems Lab, Massachusetts Institute of Technology, Cambridge, MA 02139-4307, USA

Sustainability, 2020, vol. 12, issue 7, 1-12

Abstract: 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.

Keywords: urban freight; freight parking; city logistics; parking choice; SimMobility (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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