Exploring the impact of shared autonomous vehicles on urban parking demand: An agent-based simulation approach

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• 作者：Wenwen Zhang^a ; ^{wzhang300@gatech.edu" class="auth_mail" title="E-mail the corresponding author} ; Subhrajit Guhathakurta^a ; ^{Subhro.Guha@coa.gatech.edu" class="auth_mail" title="E-mail the corresponding author} ; Jinqi Fang^b ; ^{frank2012@gatech.edu" class="auth_mail" title="E-mail the corresponding author} ; Ge Zhang^a ; ^{ge.zhang@coa.gatech.edu" class="auth_mail" title="E-mail the corresponding author}
• 关键词：Shared autonomous vehicle ; Parking ; Agent-based model
• 刊名：Sustainable Cities and Society
• 出版年：2015
• 出版时间：December 2015
• 年：2015
• 卷：19
• 期：Complete
• 页码：34-45
• 全文大小：2478 K

文摘

Although recent studies of Shared Autonomous Vehicles (SAVs) have explored the economic costs and environmental impacts of this technology, little is known about how SAVs can change urban forms, especially by reducing the demand for parking. This study estimates the potential impact of SAV system on urban parking demand under different system operation scenarios with the help of an agent-based simulation model. The simulation results indicate that we may be able to eliminate up to 90% of parking demand for clients who adopt the system, at a low market penetration rate of 2%. The results also suggest that different SAV operation strategies and client's preferences may lead to different spatial distribution of urban parking demand.