The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Parking Spaces in the Age of Shared Autonomous Vehicles: How Much Parking Will We Need and Where?
Abstract
The world is on the cusp of a new era in mobility given that the enabling technologies for autonomous vehicles (AVs) are almost ready for deployment and testing. Although the technological frontiers for deploying AVs are being crossed, transportation planners and engineers know far less about the potential impact of such technologies on urban form and land use patterns. This paper attempts to address those issues by simulating the operation of shared AVs (SAVs) in the city of Atlanta, Georgia, by using the real transportation network with calibrated link-level travel speeds and a travel demand origin–destination matrix. The model results suggest that the SAV system can reduce parking land by 4.5% in Atlanta at a 5% market penetration level. In charged-parking scenarios, parking demand will move from downtown to adjacent low-income neighborhoods. The results also reveal that policy makers may consider combining charged-parking policies with additional regulations to curb excessive vehicle miles traveled and alleviate potential social equity problems.
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In the citing paper
“Zhang & Guhathakurta (2017) suggest a reduction of 4.5% for a penetration of 5%, mentioning that each SAV can free more than 20 parking spots.”
From Shared autonomous vehicle services: A comprehensive review (2020) · cites this paper as Zhang & Guhathakurta, 2017
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 (2017)
Citations
Cites
Fagnant, D. J., & Kockelman, K. M. (2014) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2013.12.001 · Cited by 1,177
Chen, T. D., Kockelman, K. M., & Hanna, J. P. (2016) · Transportation Research Part A: Policy and Practice · doi:10.1016/j.tra.2016.08.020 · Cited by 529
Spieser, K., Treleaven, K., Zhang, R., Frazzoli, E., Morton, D., & Pavone, M. (2014) · Lecture notes in mobility · doi:10.1007/978-3-319-05990-7_20 · Cited by 442
Zhang, W., Guhathakurta, S., Fang, J., & Zhang, G. (2015) · Sustainable Cities and Society · doi:10.1016/j.scs.2015.07.006 · Cited by 422
Self-citationAutonomous taxis could greatly reduce greenhouse-gas emissions of US light-duty vehicles
Greenblatt, J. B., & Saxena, S. (2015) · Nature Climate Change · doi:10.1038/nclimate2685 · Cited by 419
Operations of Shared Autonomous Vehicle Fleet for Austin, Texas, Market
Fagnant, D. J., Kockelman, K. M., & Bansal, P. (2016) · Transportation Research Record: Journal of the Transportation Research Board · doi:10.3141/2536-12 · Cited by 314
Dynamic Ride-Sharing and Optimal Fleet Sizing for a System of Shared Autonomous Vehicles
Fagnant, D. J., & Kockelman, K. M. (2015) · Transportation Research Board 94th Annual MeetingTransportation Research Board · Cited by 71
Zhang, W., Guhathakurta, S., Fang, J., & Zhang, G. (2015) · Transportation Research Board 94th Annual MeetingTransportation Research Board · Cited by 47
Self-citationManaging Autonomous Mobility on Demand Systems for Better Passenger Experience
Shen, W., & Lopes, C. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-25524-8_2 · Cited by 45
Study of a Shared Autonomous Vehicles Based Mobility Solution in Stockholm
Rigole, P.-J. (2014) · KTH Publication Database DiVA (KTH Royal Institute of Technology) · Cited by 33
Flagged first, then by citations
Research works printed but not linked: 10
- Markoff J., 2014, New York Times
- Burns L. D., 2013, Transforming Personal Mobility
- FordH. J. Shared Autonomous Taxis: Implementing an Efficient Alternative to Automobile Dependency. Senior thesis. Princeton University, Princeton, N.J., 2012.
- Kornhauser A., 2013, Uncongested Mobility for All: New Jersey’s Area-Wide aTaxi System
- Bridges R., 2015, Driverless Car Revolution: Buy Mobility, Not Metal
- Albright J., 2016, Marketplace of Change: Automobile Insurance in the Era of Autonomous Vehicles
- 2016, Disruptive Mobility: A Scenario for 2040
- Corwin S., 2016, The Future of Mobility
- Zhang W., 2015, Presented at 94th Annual Meeting of the Transportation Research Board
- 2015, Urban Mobility System Upgrade: How Shared Self-Driving Cars Could Change City Traffic
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
Soteropoulos, A., Berger, M., & Ciari, F. (2019) · Transport Reviews · doi:10.1080/01441647.2018.1523253 · Cited by 414
The Impact of Autonomous Vehicles on Cities: A Review
Duarte, F., & Ratti, C. (2018) · Journal of Urban Technology · doi:10.1080/10630732.2018.1493883 · Cited by 380
Acheampong, R. A., & Cugurullo, F. (2019) · Transportation Research Part F Traffic Psychology and Behaviour · doi:10.1016/j.trf.2019.01.009 · Cited by 373
Taiebat, M., Brown, A. L., Safford, H., Qu, S., & Xu, M. (2018) · Environmental Science & Technology · doi:10.1021/acs.est.8b00127 · Cited by 374
Metadata
- Authors
- Zhang, W., & Guhathakurta, S.
- Affiliations
- Georgia Institute of Technology (US)
- Corresponding author
- Guhathakurta, Subhrajit
- Venue
- Transportation Research Record: Journal of the Transportation Research Board
- Publisher
- SAGE Publications
- Published
- 2017-01
- Volume
- 2651
- Issue
- 1
- Pages
- 80-91
- ISSN
- 0361-1981 (ISSN-L)
- 2169-4052
- OpenAlex
- W2767127672
- Cited by
- 180
- References
- 10
- Citations by year
- 2026: 13 · 2025: 17 · 2024: 21 · 2023: 27 · 2022: 30 · 2021: 26 · 2020: 26 · 2019: 9 · 2018: 9 · 2017: 2
- FWCI
- 7.99
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Transportation Research Record Journal of the Transportation Research Board (publishedVersion)
- Topics
- Social Sciences › Transportation › Transportation and Mobility Innovations
- Social Sciences › Transportation › Smart Parking Systems Research
- Social Sciences › Transportation › Transportation Planning and Optimization
- Keywords
- shared autonomous vehicles, parking demand, urban form, travel demand simulation, market penetration, vehicle miles traveled, social equity, land use change, Atlanta
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