How can on-street parking regulations affect traffic, safety, and the environment in a cooperative, connected, and automated era?
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Published version
Author(s)
Type
Journal Article
Abstract
On-street parking is a commonly used form of parking facility as part of transportation infrastructure. However, the emergence of connected and autonomous vehicles (CAVs) is expected to significantly impact parking in the future. This study aims to investigate the impacts of on-street parking regulations for CAVs on the environment, safety and mobility in mixed traffic fleets. To achieve this goal, a calibrated and validated network model of the city of Leicester, UK, was selected to test the implementation of CAVs under various deployment scenarios. The results revealed that replacing on-street parking with driving lanes, cycle lanes, and public spaces can lead to better traffic performance. Specifically, there could be a 27–30% reduction in travel time, a 43–47% reduction in delays, more than 90% in emission reduction, and a 94% reduction in traffic crashes compared to the other tested measures. Conversely, replacing on-street parking with pick-up/drop-off stations may have a less significant impact due to increased stop-and-go events when vehicles pick-up and drop-off passengers, resulting in more interruptions in the flow and increased delays. The paper provides examples of interventions that can be implemented for on-street parking during a CCAM era, along with their expected impacts in order for regional decision-makers and local authorities to draw relative policies. By replacing on-street parking with more efficient traffic measures, cities can significantly improve mobility, reduce emissions, and enhance safety.
Date Issued
2024-03-19
Date Acceptance
2023-12-21
Citation
European Transport Research Review, 2024, 16
ISSN
1866-8887
Publisher
SpringerOpen
Journal / Book Title
European Transport Research Review
Volume
16
Copyright Statement
© The Author(s) 2024, corrected publication 2024. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
License URL
Identifier
https://etrr.springeropen.com/articles/10.1186/s12544-023-00628-8
Subjects
CHILD PEDESTRIAN INJURY
Connected and autonomous vehicles
IMPACTS
Impacts assessment
MODEL
On-street parking
Parking regulation
POLICY
RISK
Science & Technology
SHARED AUTONOMOUS VEHICLES
SPACES
SPEED
Technology
Traffic microsimulation
Transportation
Transportation Science & Technology
Publication Status
Published
Article Number
18
Date Publish Online
2023-03-19
