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

Abstract 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.

[1]  Robert B. Noland,et al.  Travel demand policies for saving oil during a supply emergency , 2006 .

[2]  Niels A. H. Agatz,et al.  The Value of Optimization in Dynamic Ride-Sharing: A Simulation Study in Metro Atlanta , 2010 .

[3]  D. Shoup.  The High Cost of Free Parking , 1997 .

[4]  B. Hayes,et al.  Leave the Driving to It , 2011 .

[5]  Kara M. Kockelman,et al.  Dynamic Ride-Sharing and Optimal Fleet Sizing for a System of Shared Autonomous Vehicles , 2015 .

[6]  J. Mann,et al.  Look, no hands! , 2012, Behavioral and Brain Sciences.

[7]  Susan Shaheen,et al.  Ridesharing in North America: Past, Present, and Future , 2012 .

[8]  Diane Gershon.  Look, no hands , 2003, Nature.

[9]  Patricia L. Mokhtarian,et al.  How Do Activities Conducted while Commuting Influence Mode Choice? Testing Public Transportation Advantage and Autonomous Vehicle Scenarios , 2015 .

[10]  L. Martínez,et al.  An Agent-based model to assess the impacts of introducing a shared-taxi system in Lisbon ( Portugal ) , 2012 .

[11]  Stacy Cagle Davis,et al.  Transportation Energy Data Book: Edition 31 , 2012 .

[12]  Daniel J. Fagnant,et al.  Preparing a Nation for Autonomous Vehicles: Opportunities, Barriers and Policy Recommendations , 2015 .

[13]  José Manuel Viegas,et al.  An agent‐based simulation model to assess the impacts of introducing a shared‐taxi system: an application to Lisbon (Portugal) , 2015 .

[14]  Samer Madanat,et al.  Parking infrastructure: energy, emissions, and automobile life-cycle environmental accounting , 2010 .

[15]  Kara M. Kockelman,et al.  The Travel and Environmental Implications of Shared Autonomous Vehicles, Using Agent-Based Model Scenarios , 2014 .