Residential Location Choice in the Era of Shared Autonomous Vehicles

This study examines the potential changes in residential location choice in a scenario where shared autonomous vehicles (SAVs) are a popular mode of travel in the Atlanta metropolitan area. This hypothetical study is based on an agent-based simulation approach, which integrates residential location choice models with a SAV simulation model. The coupled model simulates future home location choices given current home location preferences and real estate development patterns. The results indicate that commuters may relocate to neighborhoods with better public schools and more amenities due to reductions in commute costs.

• Record URL:
  https://doi.org/10.1177/0739456X18776062
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/0739456X
• Supplemental Notes:
  • © 2018 Wenwen Zhang and Subhrajit Guhathakurta.
• Authors:
  • Zhang, Wenwen
  • Guhathakurta, Subhrajit
• Publication Date: 2021-6

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; Maps; References; Tables;
• Pagination: pp 135-148
• Serial:
  • Journal of Planning Education and Research
  • Volume: 41
  • Issue Number: 2
  • Publisher: Sage Publications, Incorporated
  • ISSN: 0739-456X
  • EISSN: 1552-6577
  • Serial URL: http://jpe.sagepub.com/

Subject/Index Terms

• TRT Terms: Autonomous vehicles; Choice models; Commuting; Residential location; Urban sprawl; Vehicle sharing
• Geographic Terms: Atlanta Metropolitan Area
• Subject Areas: Data and Information Technology; Highways; Planning and Forecasting; Vehicles and Equipment;

Filing Info

• Accession Number: 01846127
• Record Type: Publication
• Files: TRIS
• Created Date: May 23 2022 3:48PM