Cited by 180Transportation and Mobility InnovationsSmart Parking Systems ResearchTransportation Planning and Optimization

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?

Zhang, Wenwen, Guhathakurta, Subhrajit·2017·Transportation Research Record: Journal of the Transportation Research Board

DOI 10.3141/2651-09

Open this paper in CoChat — free account

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.

Integrity signals

Registry

Crossref · 10.3141/2651-09

Cites

10 of 10 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

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

The travel and environmental implications of shared autonomous vehicles, using agent-based model scenarios
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
Operations of a shared, autonomous, electric vehicle fleet: Implications of vehicle & charging infrastructure decisions
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
Toward a Systematic Approach to the Design and Evaluation of Automated Mobility-on-Demand Systems: A Case Study in Singapore
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
Exploring the impact of shared autonomous vehicles on urban parking demand: An agent-based simulation approach
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-citation
Autonomous 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
The Performance and Benefits of a Shared Autonomous Vehicles Based Dynamic Ridesharing System: An Agent-Based Simulation Approach
Zhang, W., Guhathakurta, S., Fang, J., & Zhang, G. (2015) · Transportation Research Board 94th Annual MeetingTransportation Research Board · Cited by 47
Self-citation
Managing 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

Show all 10 references

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

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
Impacts of automated vehicles on travel behaviour and land use: an international review of modelling studies
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
Capturing the behavioural determinants behind the adoption of autonomous vehicles: Conceptual frameworks and measurement models to predict public transport, sharing and ownership trends of self-driving cars
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
A Review on Energy, Environmental, and Sustainability Implications of Connected and Automated Vehicles
Taiebat, M., Brown, A. L., Safford, H., Qu, S., & Xu, M. (2018) · Environmental Science & Technology · doi:10.1021/acs.est.8b00127 · Cited by 374
The autonomous vehicle parking problem
Millard‐Ball, A. (2019) · Transport Policy · doi:10.1016/j.tranpol.2019.01.003 · Cited by 235
The role of shared autonomous vehicle systems in delivering smart urban mobility: A systematic review of the literature
Golbabaei, F., Yiğitcanlar, T., & Bunker, J. M. (2020) · International Journal of Sustainable Transportation · doi:10.1080/15568318.2020.1798571 · Cited by 236
The impact of private autonomous vehicles on vehicle ownership and unoccupied VMT generation
Zhang, W., Guhathakurta, S., & Khalil, E. B. (2018) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2018.03.005 · Cited by 202
Self-citation
Exploring the implications of autonomous vehicles: A comprehensive review
Othman, K. (2022) · Innovative Infrastructure Solutions · doi:10.1007/s41062-022-00763-6 · Cited by 180
Impacts of connected and autonomous vehicles on urban transportation and environment: A comprehensive review
Rahman, M. M., & Thill, J. (2023) · Sustainable Cities and Society · doi:10.1016/j.scs.2023.104649 · Cited by 194
The transition to autonomous cars, the redesign of cities and the future of urban sustainability
Cugurullo, F., Acheampong, R. A., Gueriau, M., & Dusparic, I. (2021) · Urban Geography · doi:10.1080/02723638.2020.1746096 · Cited by 151
A framework to integrate mode choice in the design of mobility-on-demand systems
Liu, Y., Bansal, P., Daziano, R. A., & Samaranayake, S. (2018) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2018.09.022 · Cited by 139
Impacts of commercially available adaptive cruise control vehicles on highway stability and throughput
Shang, M., & Stern, R. (2020) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2020.102897 · Cited by 123
A comprehensive review of shared mobility for sustainable transportation systems
Zhu, J., Xie, N., Cai, Z., Tang, W., & Chen, X. M. (2022) · International Journal of Sustainable Transportation · doi:10.1080/15568318.2022.2054390 · Cited by 130
Residential Location Choice in the Era of Shared Autonomous Vehicles
Zhang, W., & Guhathakurta, S. (2021) · Journal of Planning Education and Research · doi:10.1177/0739456x18776062 · Cited by 107
Self-citation
Analysis and Control of Autonomous Mobility-on-Demand Systems
Zardini, G., Lanzetti, N., Pavone, M., & Frazzoli, E. (2021) · Annual Review of Control Robotics and Autonomous Systems · doi:10.1146/annurev-control-042920-012811 · Cited by 114
Enhanced Mobility With Connectivity and Automation: A Review of Shared Autonomous Vehicle Systems
Zhao, L., & Malikopoulos, A. A. (2022) · IEEE Intelligent Transportation Systems Magazine · doi:10.1109/mits.2019.2953526 · Cited by 93
Autonomous Road Vehicles: Challenges for Urban Planning in European Cities
Gavanas, N. (2019) · Urban Science · doi:10.3390/urbansci3020061 · Cited by 108
Parking futures: Shared automated vehicles and parking demand reduction trajectories in Atlanta
Zhang, W., & Wang, K. (2020) · Land Use Policy · doi:10.1016/j.landusepol.2019.04.024 · Cited by 91
Self-citation
Impact of Autonomous Vehicles on the Physical Infrastructure: Changes and Challenges
Othman, K. (2021) · Designs · doi:10.3390/designs5030040 · Cited by 87
Estimating Savings in Parking Demand Using Shared Vehicles for Home–Work Commuting
Kondor, D., Zhang, H., Combes, R. T. D., Santi, P., & Ratti, C. (2018) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2018.2869085 · Cited by 76
Research on Parking Choice Behavior of Shared Autonomous Vehicle Services by Measuring Users’ Intention of Usage
Ye, X., Sui, X., Wang, T., Yan, X., & Chen, J. (2022) · Transportation Research Part F Traffic Psychology and Behaviour · doi:10.1016/j.trf.2022.05.012 · Cited by 70
Multiagent Spatial Simulation of Autonomous Taxis for Urban Commute: Travel Economics and Environmental Impacts
Lu, M., Taiebat, M., Xu, M., & Hsu, S.-C. (2018) · Journal of Urban Planning and Development · doi:10.1061/(asce)up.1943-5444.0000469 · Cited by 62
On the morning commute problem with distant parking options in the era of autonomous vehicles
Su, Q., & Wang, D. Z. W. (2020) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2020.102799 · Cited by 61
Impact of self-parking autonomous vehicles on urban traffic congestion
Shafiei, S., Gu, Z., Grzybowska, H., & Cai, C. (2021) · Transportation · doi:10.1007/s11116-021-10241-0 · Cited by 60
Factors affecting traffic flow efficiency implications of connected and autonomous vehicles: A review and policy recommendations
Narayanan, S., Chaniotakis, E. M., & Antoniou, C. (2020) · Advances in transport policy and planning · doi:10.1016/bs.atpp.2020.02.004 · Cited by 61
Optimal parking management of connected autonomous vehicles: A control-theoretic approach
Wang, S., Levin, M. W., & Caverly, R. J. (2021) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2020.102924 · Cited by 54
Modeling Transportation Systems involving Autonomous Vehicles: A State of the Art
Berrada, J., & Leurent, F. M. (2017) · Transportation research procedia · doi:10.1016/j.trpro.2017.12.077 · Cited by 51
Stakeholder viewpoints analysis of the autonomous vehicle industry by using multi-actors multi-criteria analysis
Hamadneh, J., Duleba, S., & Esztergár‐Kiss, D. (2022) · Transport Policy · doi:10.1016/j.tranpol.2022.07.005 · Cited by 50
What we know and do not know about connected and autonomous vehicles
Rashidi, T. H., Najmi, A., Haider, A., Wang, C. I., & Hosseinzadeh, F. (2020) · Transportmetrica A Transport Science · doi:10.1080/23249935.2020.1720860 · Cited by 48
Sharing or owning autonomous vehicles? Comprehending the role of ideology in the adoption of autonomous vehicles in the society of automobility
Mohammadzadeh, M. (2021) · Transportation Research Interdisciplinary Perspectives · doi:10.1016/j.trip.2020.100294 · Cited by 44
Hybrid operations of human driving vehicles and automated vehicles with data-driven agent-based simulation
Yao, F., Zhu, J., Yu, J., Chen, C., & Chen, X. M. (2020) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2020.102469 · Cited by 40
Mobility Acceptance Factors of an Automated Shuttle Bus Last-Mile Service
Soe, R.-M., & Müür, J. (2020) · Sustainability · doi:10.3390/su12135469 · Cited by 37
Autonomous Vehicle Use and Urban Space Transformation: A Scenario Building and Analysing Method
Silva, D., Földes, D., & Csiszár, C. (2021) · Sustainability · doi:10.3390/su13063008 · Cited by 40
Parking policy: The effects of residential minimum parking requirements in Seattle
Gabbe, C. J., Pierce, G., & Clowers, G. (2020) · Land Use Policy · doi:10.1016/j.landusepol.2019.104053 · Cited by 35
A time-dependent shared autonomous vehicle system design problem
Li, Y., Long, J., & Yu, M. (2021) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2020.102956 · Cited by 34
Addressing the “minimum parking” problem for on-demand mobility
Kondor, D., Santi, P., Le, D.-T., Zhang, X., Millard‐Ball, A., & Ratti, C. (2020) · Scientific Reports · doi:10.1038/s41598-020-71867-1 · Cited by 40
Convergence of Emerging Transportation Trends: A Comprehensive Review of Shared Autonomous Vehicles
Almaskati, D. N., Kermanshachi, S., & Pamidimukkala, A. (2024) · Journal of Intelligent and Connected Vehicles · doi:10.26599/jicv.2023.9210043 · Cited by 35
The benefits of autonomous vehicles for community-based trip sharing
Hasan, M. H., & Hentenryck, P. V. (2021) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2020.102929 · Cited by 35
Consequences of autonomous vehicles: Ambivalent expectations and their impact on acceptance
Kacperski, C., Kutzner, F., & Vogel, T. (2021) · Transportation Research Part F Traffic Psychology and Behaviour · doi:10.1016/j.trf.2021.06.004 · Cited by 36
How do college students perceive future shared mobility with autonomous Vehicles? A survey of the University of Alabama students
Fu, X., Nie, Q., Liu, J., Zhang, Z., & Jones, S. (2021) · International Journal of Transportation Science and Technology · doi:10.1016/j.ijtst.2021.11.006 · Cited by 33
Modeling the transition toward a zero emission car fleet: Integrating electrification, shared mobility, and automation
Roca‐Puigròs, M., Marmy, C., Wäger, P. A., & Müller, D. B. (2023) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2022.103576 · Cited by 36
Simulating impacts of Automated Mobility-on-Demand on accessibility and residential relocation
Zhou, M., Le, D.-T., Nguyen-Phuoc, D. Q., Zegras, P. C., & Ferreira, J. (2021) · Cities · doi:10.1016/j.cities.2021.103345 · Cited by 35
Parking space for shared automated vehicles: How less can be more
Winter, K., Cats, O., Martens, K., & van Arem, B. (2020) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2020.11.008 · Cited by 31
Long-term effects of autonomous vehicles on the built environment: a systematic scoping review towards conceptual frameworks
Pimenta, A., Kamruzzaman, M., & Currie, G. (2023) · Transport Reviews · doi:10.1080/01441647.2023.2189325 · Cited by 34
Shared autonomous vehicles implementation for the first and last-mile services
Lau, S. T., & Susilawati, S. (2021) · Transportation Research Interdisciplinary Perspectives · doi:10.1016/j.trip.2021.100440 · Cited by 30
Optimum Location of Autonomous Vehicle Lanes: A Model Considering Capacity Variation
Movaghar, S., Mesbah, M., & Habibian, M. (2020) · Mathematical Problems in Engineering · doi:10.1155/2020/5782072 · Cited by 29
Intelligent Shared Mobility Systems: A Survey on Whole System Design Requirements, Challenges and Future Direction
Golpayegani, F., Guériau, M., Laharotte, P.-A., Ghanadbashi, S., Guo, J., Geraghty, J., & Wang, S. (2022) · IEEE Access · doi:10.1109/access.2022.3162848 · Cited by 29
Impact of Driverless Vehicles on Urban Environment and Future Mobility
Agriesti, S., Brevi, F., Gandini, P., Marchionni, G., Parmar, R., Ponti, M., & Studer, L. (2020) · Transportation research procedia · doi:10.1016/j.trpro.2020.09.005 · Cited by 34
Impacts of shared autonomous vehicles: Tradeoff between parking demand reduction and congestion increase
Kumakoshi, Y., Hanabusa, H., & Oguchi, T. (2021) · Transportation Research Interdisciplinary Perspectives · doi:10.1016/j.trip.2021.100482 · Cited by 28
Multidimension Analysis of Autonomous Vehicles: The Future of Mobility
Othman, K. (2022) · Civil Engineering Journal · doi:10.28991/cej-sp2021-07-06 · Cited by 27
How public interest and concerns about autonomous vehicles change over time: A study of repeated cross-sectional travel survey data of the Puget Sound Region in the Northwest United States
Xiao, J., & Goulias, K. G. (2021) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2021.103446 · Cited by 26
Sustainable Renewal Methods of Urban Public Parking Spaces under the Scenario of Shared Autonomous Vehicles (SAV): A Review and a Proposal
Xia, B., Wu, J., Wang, J., Fang, Y., Shen, H., & Shen, J. (2021) · Sustainability · doi:10.3390/su13073629 · Cited by 23
Using twitter to investigate responses to street reallocation during COVID-19: Findings from the U.S. and Canada
Shirgaokar, M., Reynard, D., & Collins, D. C. A. (2021) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2021.10.013 · Cited by 23
Demand Exploration of Automated Mobility On-Demand Services Using an Innovative Simulation Tool
Nahmias–Biran, B.-H., Dadashev, G., & Levi, Y. (2022) · IEEE Open Journal of Intelligent Transportation Systems · doi:10.1109/ojits.2022.3197709 · Cited by 23
The role of urban form in the performance of shared automated vehicles
Wang, K., & Zhang, W. (2021) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2021.102744 · Cited by 22
Self-citation
Willingness-to-relocate: Examining preferences for parking relocation of privately-owned automated vehicles
Jia, W., Chen, T. D., & Zhang, W. (2022) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2022.103318 · Cited by 21
Self-citation
Autonomous Vehicles and the Built Environment: Exploring the Impacts on Different Urban Contexts
Riggs, W., Larco, N., Tierney, G., Ruhl, M., Karlin-Resnick, J., & Rodier, C. (2018) · Lecture Notes in Mobility · doi:10.1007/978-3-319-94896-6_19 · Cited by 10
Synthesizing neighborhood preferences for automated vehicles
Zhang, W., Wang, K., Wang, S., Jiang, Z., Mondschein, A. S., & Noland, R. B. (2020) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2020.102774 · Cited by 23
Self-citation
Sustainable Mobility and Shared Autonomous Vehicles: A Systematic Literature Review of Travel Behavior Impacts
Delfa, A. L., & Han, Z. (2025) · Sustainability · doi:10.3390/su17073092 · Cited by 22
Knowledge for policy-making in times of uncertainty: the case of autonomous vehicle model results
Curtis, C., McLeod, S., Hultén, J., Pettersson, F., Paulsson, A., & Sørensen, C. H. (2020) · Transport Reviews · doi:10.1080/01441647.2020.1857885 · Cited by 19
An Examination of User Adoption Behavior of Autonomous Vehicles and Urban Sustainability Implications
Acheampong, R. A., Cugurullo, F., Dusparić, I., & Guériau, M. (2019) · Transportation research procedia · doi:10.1016/j.trpro.2019.09.037 · Cited by 19
Sharing vehicles and sharing rides in real-time: Opportunities for self-driving fleets
Gurumurthy, K. M., Kockelman, K. M., & Loeb, B. (2019) · Advances in transport policy and planning · doi:10.1016/bs.atpp.2019.09.001 · Cited by 17
Assessment of future parking systems with autonomous vehicles through agent-based simulation: A case study of Hangzhou, China
Tang, W. T., Yu, W., Feng, C., & Mei, Z. (2023) · Sustainable Cities and Society · doi:10.1016/j.scs.2023.105016 · Cited by 17
Optimising fleet sizing and management of shared automated vehicle (SAV) services: A mixed-integer programming approach integrating endogenous demand, congestion effects, and accept/reject mechanism impacts
Fan, Q., van Essen, J. T., & Correia, G. H. D. A. (2023) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2023.104398 · Cited by 17
Health Impact Assessment of Connected and Autonomous Vehicles in San Francisco, Bay Area
Pourrahmani, E., Jaller, M., Maizlish, N. A., & Rodier, C. J. (2020) · Transportation Research Record Journal of the Transportation Research Board · doi:10.1177/0361198120942749 · Cited by 17
The impacts of automated vehicles on Center city parking
Chai, H., Rodier, C. J., Song, J. W., Zhang, M. H., & Jaller, M. (2023) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2023.103764 · Cited by 16
Impacts of Connected and Automated Vehicles on Travel Demand and Emissions in California
Sun, R., Circella, G., Jaller, M., Qian, X., & Alemi, F. (2023) · Transportation Research Record Journal of the Transportation Research Board · doi:10.1177/03611981231186984 · Cited by 15
Users’ Acceptance of Connected and Automated Shuttles for Tourism Purposes: A Survey Study
Battistini, R., Mantecchini, L., & Postorino, M. N. (2020) · Sustainability · doi:10.3390/su122310188 · Cited by 17
How to Incorporate Autonomous Vehicles into the Carbon Neutrality Framework of China: Legal and Policy Perspectives
Li, X., & Miao, H. (2023) · Sustainability · doi:10.3390/su15075671 · Cited by 16
How can on-street parking regulations affect traffic, safety, and the environment in a cooperative, connected, and automated era?
Sha, H., Haouari, R., Singh, M. K., Papazikou, E., Quddus, M., Chaudhry, A., Thomas, P., & Morris, A. P. (2024) · European Transport Research Review · doi:10.1186/s12544-023-00628-8 · Cited by 24
Modeling and Optimization of Multiaction Dynamic Dispatching Problem for Shared Autonomous Electric Vehicles
Wang, N., & Guo, J. (2021) · Journal of Advanced Transportation · doi:10.1155/2021/1368286 · Cited by 16
Intelligent Management of On-street Parking Provision for the Autonomous Vehicles Era
Ye, Q., Stebbins, S., Feng, Y., Candela, E., Stettler, M. E. J., & Angeloudis, P. (2020) · IEEE International Conference on Intelligent Transportation Systems (ITSC) · doi:10.1109/itsc45102.2020.9294527 · Cited by 15
Managing disruptive technologies: Exploring the patterns of local drone policy adoption in California
Li, X., & Kim, J. H. (2022) · Cities · doi:10.1016/j.cities.2022.103736 · Cited by 15
Cities in the Era of Autonomous Vehicles: A Comparison Between Conventional Vehicles and Autonomous Vehicles
Othman, K. (2022) · Advances in Science, Technology & Innovation/Advances in science, technology & innovation · doi:10.1007/978-3-030-98423-6_8 · Cited by 13
On ride-sourcing services of electric vehicles considering cruising for charging and parking
Wei, B., Du, B., Saberi, M., Waller, S. T., & Liu, W. (2023) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2023.103716 · Cited by 13
Assessing the Impacts of Autonomous Vehicles on Urban Sprawl
Booth, L., Karl, C., Farrar, V., & Pettigrew, S. (2024) · Sustainability · doi:10.3390/su16135551 · Cited by 15
Assessing service characteristics of an automated transit on-demand service
Räth, Y. M., Balać, M., Hörl, S., & Axhausen, K. W. (2022) · Journal of Urban Mobility · doi:10.1016/j.urbmob.2022.100038 · Cited by 12
Repositioning of driverless cars: Is return to home rather than downtown parking economically viable?
Tscharaktschiew, S., Reimann, F., & Evangelinos, C. (2022) · Transportation Research Interdisciplinary Perspectives · doi:10.1016/j.trip.2022.100547 · Cited by 12
Multi-task dispatch of shared autonomous electric vehicles for Mobility-on-Demand services – combination of deep reinforcement learning and combinatorial optimization method
Wang, N., & Guo, J. (2022) · Heliyon · doi:10.1016/j.heliyon.2022.e11319 · Cited by 13
Optimal planning of parking infrastructure and fleet size for Shared Autonomous Vehicles
Choi, S., & Lee, J. (2023) · Transportation Research Part E Logistics and Transportation Review · doi:10.1016/j.tre.2023.103213 · Cited by 12
FMS-dispatch: a fast maximum stability dispatch policy for shared autonomous vehicles including exiting passengers under stochastic travel demand
Xu, T., Cieniawski, M., & Levin, M. W. (2023) · Transportmetrica A Transport Science · doi:10.1080/23249935.2023.2214968 · Cited by 12
Examining Parking Choices of Connected and Autonomous Vehicles
Singh, M. K., Haouari, R., Papazikou, E., Sha, H., Quddus, M., Chaudhry, A., Thomas, P., & Morris, A. P. (2023) · Transportation Research Record Journal of the Transportation Research Board · doi:10.1177/03611981231166383 · Cited by 10
Understanding Interest in Personal Ownership and Use of Autonomous Vehicles for Running Errands: An Exploration Using a Joint Model Incorporating Attitudinal Constructs
Batur, İ., Asmussen, K. E., Mondal, A., Khoeini, S., Magassy, T. B., Pendyala, R. M., & Bhat, C. R. (2022) · Transportation Research Record Journal of the Transportation Research Board · doi:10.1177/03611981221107643 · Cited by 10
Ambivalence in Stakeholders’ Views on Connected and Autonomous Vehicles
Kacperski, C., Vogel, T., & Kutzner, F. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-50523-3_4 · Cited by 10
Improved Travel Demand Modeling with Synthetic Populations
Wang, K., Zhang, W., Mortveit, H., & Swarup, S. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-66888-4_8 · Cited by 10
Self-citation
Parking pricing strategies in the era of autonomous vehicles
Zhang, X., Zhang, H., Yan, S., Xie, M., & Wang, Y. (2025) · Transport Policy · doi:10.1016/j.tranpol.2025.03.003 · Cited by 9
Impact of autonomous vehicles on the choice of residential locality
Hiramatsu, T. (2022) · Transportation Planning and Technology · doi:10.1080/03081060.2022.2105339 · Cited by 10
The Environmental Impacts of Automated Vehicles on Parking: A Systematic Review
Kong, Y., Ou, J., Chen, L., Yang, F., & Yu, B. (2023) · Sustainability · doi:10.3390/su152015033 · Cited by 14
Comparing Parking Strategies of Autonomous Transit On Demand with Varying Transport Demand
Wang, B., Ordóñez, S., & Fourie, P. J. (2019) · Procedia Computer Science · doi:10.1016/j.procs.2019.04.111 · Cited by 8
Analysis and Control of Autonomous Mobility-on-Demand Systems: A Review.Preprint
Zardini, G., Lanzetti, N., Pavone, M., & Frazzoli, E. (2021) · arXiv (Cornell University) · Cited by 8
Does automation strengthen the ‘system of automobility’? Critical considerations and alternatives to connected and automated vehicles
Dangschat, J. S., & Stickler, A. (2023) · Applied Mobilities · doi:10.1080/23800127.2023.2243579 · Cited by 12
Sustainability of autonomous cars: Environmental, social, and economic insights from a systematic review
de Leo, G., & Miragliotta, G. (2025) · Sustainable Production and Consumption · doi:10.1016/j.spc.2025.09.013 · Cited by 7
Developing urban parking supply and pricing policies in response to automated vehicle market penetration
Alampoor, A., Shafahi, Y., & Levin, M. W. (2025) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2025.105363 · Cited by 7
Simulation-Based Assessment of Parking Constraints for Automated Mobility on Demand: A Case Study of Zurich
Ruch, C., Ehrler, R., Hörl, S., Balać, M., & Frazzoli, E. (2021) · Vehicles · doi:10.3390/vehicles3020017 · Cited by 7
Sustainable Renewal of Underground Parking Space in the Scenario of Shared Autonomous Vehicles
Xia, B., Fang, Y., Shen, H., Shen, J., & Pan, S. (2021) · Buildings · doi:10.3390/buildings12010004 · Cited by 7
Examining the temporary use behavior of autonomous vehicles under uncertainty: A stated preference analysis
Hu, Y., Feng, T., & Li, M. (2025) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2025.104520 · Cited by 7
Reviewing autonomous vehicle simulation literature: policy insights for transportation
Hardaway, K., & Cai, H. (2025) · Transport Reviews · doi:10.1080/01441647.2025.2545224 · Cited by 6
Context-dependent uncertainty-aware parking choices of autonomous car owners
Hu, Y., Zhao, Y., Li, X., & Feng, T. (2025) · Transport Policy · doi:10.1016/j.tranpol.2025.103797 · Cited by 6
Predicting Changes in the Built Environment in the era of Vehicular Automation: A Review
Jeong, J., Lee, J., & Gim, T. T. (2022) · Journal of Planning Literature · doi:10.1177/08854122221138530 · Cited by 5

Authors: Zhang, W., & Guhathakurta, S.
Affiliations: Georgia Institute of Technology (US)
Corresponding author: Guhathakurta, Subhrajit
ORCID: Zhang, Wenwen
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
DOI: 10.3141/2651-09
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
Licence: journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)
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

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Parking Spaces in the Age of Shared Autonomous Vehicles: How Much Parking Will We Need and Where?

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Citations

Cites

Cited by

Related

Metadata

Record

About these checks