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.
| Original language | American English |
|---|---|
| Article number | 302 |
| Pages (from-to) | 34-45 |
| Number of pages | 12 |
| Journal | Sustainable Cities and Society |
| Volume | 19 |
| DOIs | |
| State | Published - Dec 2015 |
| Externally published | Yes |
ASJC Scopus subject areas
- Civil and Structural Engineering
- Geography, Planning and Development
- Renewable Energy, Sustainability and the Environment
- Transportation
Keywords
- Agent-based model
- Parking
- Shared autonomous vehicle