The DOI matches its Crossref record, with a small difference in title or year; 33 of the 33 references it cites were found in a registry or an index.
Residential Location Choice in the Era of Shared Autonomous Vehicles
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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“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
In the citing paper
“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
In the citing paper
“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
In the citing paper
“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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Cited by
Sorted by citations
Shared autonomous vehicle services: A comprehensive review
Narayanan, S., Chaniotakis, E., & Antoniou, C. (2020) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2019.12.008 · Cited by 691
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Will autonomous vehicles change auto commuters’ value of travel time?
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Metadata
- 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
- Publisher
- SAGE Publications
- 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
- Social Sciences › Transportation › 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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