Cited by 107Transportation and Mobility InnovationsUrban Transport and AccessibilityTransportation Planning and Optimization

Residential Location Choice in the Era of Shared Autonomous Vehicles

Zhang, Wenwen, Guhathakurta, Subhrajit·2021·Journal of Planning Education and Research

Abstract

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.

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Registry

Crossref · 10.1177/0739456x18776062

Cites

33 of 33 references verified0 citation errors · 0 not checkable

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Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Suburban areas will be under-served and the quality of service will be better in urban areas.

    “Loeb et al. (2018), Lokhandwala & Cai (2018) and Zhang & Guhathakurta (2018) conclude that suburban areas will be under-served and the quality of service will be better in urban areas.”

    From Shared autonomous vehicle services: A comprehensive review (2020) · cites this paper as Zhang & Guhathakurta, 2018

  • Elder generations may move slightly closer to the city centre.

    “they show that elder generations may move slightly closer to the city centre.”

    From Shared autonomous vehicle services: A comprehensive review (2020) · cites this paper as Zhang & Guhathakurta, 2018

  • Younger generations may move a little away from the city centre but will stay within 25 miles from the city centre.

    “Although younger generations may move a little away from the city centre, they will stay within 25 miles from the city centre.”

    From Shared autonomous vehicle services: A comprehensive review (2020) · cites this paper as Zhang & Guhathakurta, 2018

  • Zhang & Guhathakurta (2018) integrates a residential location choice model with the SAV simulation model of Zhang & Guhathakurta (2017).

    “In this study, a residential location choice model (developed using 2011 Atlanta Travel Survey & Zillow home sales data) is integrated with the SAV simulation model of Zhang & Guhathakurta (2017).”

    From Shared autonomous vehicle services: A comprehensive review (2020) · cites this paper as Zhang & Guhathakurta (2018)

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Authors
Zhang, W., & Guhathakurta, S.
Affiliations
  • Virginia Tech (US)
  • Georgia Institute of Technology (US)
Corresponding author
Guhathakurta, Subhrajit
Venue
Journal of Planning Education and Research
Published
2018-05-28
Volume
41
Issue
2
Pages
135-148
ISSN
  • 0739-456X (ISSN-L)
  • 1552-6577
OpenAlex
W2806301036
Cited by
107
References
33
Citations by year
2026: 6 · 2025: 10 · 2024: 20 · 2023: 13 · 2022: 11 · 2021: 18 · 2020: 20 · 2019: 8 · 2018: 1
FWCI
6.25
Type
journal article
Language
en
Open access
closed
Locations
Journal of Planning Education and Research (publishedVersion)
Funders
National Science Foundation (1441208)
Topics
  • Physical Sciences › Engineering › Automotive Engineering › Transportation and Mobility Innovations
  • Social Sciences › Transportation › Urban Transport and Accessibility
  • Social Sciences › Transportation › Transportation Planning and Optimization
Keywords
shared autonomous vehicles, residential location choice, real estate development, public schools, neighborhood amenities, agent-based modeling, Atlanta metropolitan area

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