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

Wenwen Zhang, Subhrajit Guhathakurta, Jinqi Fang, Ge Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Although recent studies of Shared Autonomous Vehicles (SAVs) have ex-plored the economic costs and environmental impacts of this technology, little is known about how SAVs can change urban forms, especially by re-ducing 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 simula-tion 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 park-ing demand.

Original languageEnglish (US)
Title of host publicationCUPUM 2015 - 14th International Conference on Computers in Urban Planning and Urban Management
PublisherCUPUM
ISBN (Electronic)9780692474341
StatePublished - 2015
Externally publishedYes
Event14th International Conference on Computers in Urban Planning and Urban Management, CUPUM 2015 - Cambridge, United States
Duration: Jul 7 2015Jul 10 2015

Publication series

NameCUPUM 2015 - 14th International Conference on Computers in Urban Planning and Urban Management

Conference

Conference14th International Conference on Computers in Urban Planning and Urban Management, CUPUM 2015
Country/TerritoryUnited States
CityCambridge
Period7/7/157/10/15

All Science Journal Classification (ASJC) codes

  • Environmental Engineering
  • Geography, Planning and Development
  • Urban Studies
  • Ecology
  • Civil and Structural Engineering

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