The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Exploring the impact of shared autonomous vehicles on urban parking demand: An agent-based simulation approach
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Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Valet or auto-pilot parking features of AVs are expected to find cheap or free parking spaces after dropping off the passenger. This in turn saves travel time or cost for commuters or passengers because the passengers do not require: (a) Cruising for a parking space; (b) Walking to the vehicle to pick up; (c) Paying for costly parking”
From Understanding autonomous vehicles: A systematic literature review on capability, impact, planning and policy (2019) · cites this paper as Zhang, Guhathakurta, Fang, & Zhang, 2015
In the citing paper
“The results of an agent-based model show that the clients adopting SAV system in lieu of conventional private car can eliminate up to 90% of parking demand at a low market penetration rate of 2%”
From Understanding autonomous vehicles: A systematic literature review on capability, impact, planning and policy (2019) · cites this paper as Zhang et al., 2015
In the citing paper
“Different spatial distribution of urban parking demand will be evolved against different SAV operation strategies and client's preferences”
From Understanding autonomous vehicles: A systematic literature review on capability, impact, planning and policy (2019) · cites this paper as Zhang et al., 2015
In the citing paper
“Zhang et al. (2015) conclude that the reduction can reach up to 90%.”
From Shared autonomous vehicle services: A comprehensive review (2020) · cites this paper as Zhang et al., 2015
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
Ridesharing in North America: Past, Present, and Future
Chan, N. D., & Shaheen, S. (2011) · Transport Reviews · doi:10.1080/01441647.2011.621557 · Cited by 662
National Household Travel Survey
Garrett, M. (2014) · Encyclopedia of Transportation: Social Science and Policy · doi:10.4135/9781483346526.n341 · Cited by 479
Dynamic ride-sharing: A simulation study in metro Atlanta
Agatz, N. A. H., Erera, A. L., Savelsbergh, M. W. P., & Wang, X. (2011) · Transportation Research Part B Methodological · doi:10.1016/j.trb.2011.05.017 · Cited by 476
Preparing a Nation for Autonomous Vehicles: Opportunities, Barriers and Policy Recommendations
Fagnant, D. J., & Kockelman, K. M. (2014) · RePEc: Research Papers in Economics · Cited by 169
Martínez, L., Correia, G. H. D. A., & Viegas, J. M. (2014) · Journal of Advanced Transportation · doi:10.1002/atr.1283 · Cited by 150
Parking infrastructure: energy, emissions, and automobile life-cycle environmental accounting
Chester, M., Horvath, A., & Madanat, S. M. (2010) · Environmental Research Letters · doi:10.1088/1748-9326/5/3/034001 · Cited by 87
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
Transportation Energy Data Book: Edition 32
Davis, S. C., USDOE Office of Energy Efficiency and Renewable Energy (EERE), O. O. S. T. V. T. O. (., Diegel, S. W., & Boundy, R. G. (2013) · doi:10.2172/1110942 · Cited by 69
Hayes, B. (2011) · American Scientist · doi:10.1511/2011.92.362 · Cited by 57
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Research works printed but not linked: 1
- Shoup, 2005, Vol. 206
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Items 401–421 of 421
Rahman, M. M., & Thill, J. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5643299
Sahebgharani, A., & Wiśniewski, S. (2025) · Springer eBooks · doi:10.1007/978-3-032-00563-2_4
Wang, S., Zhao, X., & Wang, Y. (2026) · Journal of Transport Geography · doi:10.1016/j.jtrangeo.2026.104576
Obiako, I. V., Walker, S., Lippert, K. J., & Cloutier, R. J. (2026) · Systems Engineering · doi:10.1002/sys.70047
A bibliometric analysis of research trends in Sustainable Cities and Society (SCS)
Sun, W., Cai, Q., Wang, J., & Zhu, B. (2026) · Sustainable Cities and Society Advances · doi:10.1016/j.scsadv.2026.100047
Zhu, J., Wang, H., & Zhu, Z. (2026) · Applied Sciences · doi:10.3390/app16063003
On the integrated morning-evening commute with shared and privately owned autonomous vehicles
Li, C.-Y., Li, H., Jiang, G., Wang, T., & Tang, T. (2026) · Transportmetrica A Transport Science · doi:10.1080/23249935.2026.2659242
Bahk, Y., Hyland, M., Shaheen, S., Wolfe, B., & Cohen, A. (2026) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2026.105062
Hu, Y., Axhausen, K. W., Yang, C., & Deng, Z. (2026) · Alexandria Engineering Journal · doi:10.1016/j.aej.2026.05.009
Ao, Y., Long, Y., & Bahmani, H. (2026) · Springer eBooks · doi:10.1007/978-981-95-8856-5_9
Environmental impact analysis of shared autonomous vehicles: A comprehensive review
Tu, L., Xu, M., & Szeto, W. Y. (2026) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2026.105473
Das, D. K., & Mostafa, M. M. H. (2026) · ASCE International Conference on Transportation and Development (ICTD) · doi:10.1061/9780784487013.026
Literature review of legal frameworks and liability allocation in connected and automated vehicles
Roussou, J., Ζιακόπουλος, Α., Kontaxi, A., & Yannis, G. (2026) · Research in Transportation Business & Management · doi:10.1016/j.rtbm.2026.101804
Modeling shared autonomous vehicles for large-scale car trip demand: a zonal heuristic approach
Tiwari, S. (2026) · Transportation Planning and Technology · doi:10.1080/03081060.2026.2707491
Hu, Y., Zhao, Y., Li, X., & Feng, T. (2026) · Transport Policy · doi:10.1016/j.tranpol.2026.104353
Brodersen, J., Dandl, F., Stadler, C., & Bogenberger, K. (2026) · Transportmetrica B Transport Dynamics · doi:10.1080/21680566.2026.2718462
On-street parking configuration strategies during the transition to autonomous vehicles
Zhang, X., Jing-yu, Y., Zhu, C., Dong, N., Xie, M., & Wang, Y. (2026) · Transportation · doi:10.1007/s11116-026-10814-x
Moving beyond policy lag to uneven regulatory institutionalisation in autonomous mobility
Nuo, C. H. E. N. (2026) · Transport Policy · doi:10.1016/j.tranpol.2026.104439
Rojas, I., Nelson, J. D., Zhang, Y., Anund, A., Karl, C., Atkinson, S., & Pettigrew, S. (2026) · Sustainability · doi:10.3390/su181910001
User Perceptions of Robotaxis and Mode Choice Among Robotaxi, Transit, and Ridesharing
Dong, X., Lin, Z., Guerra, E., Tang, Z., & Luo, Y. (2026) · Transportation Research Record Journal of the Transportation Research Board · doi:10.1177/03611981261487420
Yıldırım, Z. B. (2026) · Akıllı Ulaşım Sistemleri ve Uygulamaları Dergisi · doi:10.51513/jitsa.1868440
Metadata
- Authors
- Zhang, W., Guhathakurta, S., Fang, J., & Zhang, G.
- Affiliations
- Georgia Institute of Technology (US)
- Venue
- Sustainable Cities and Society
- Publisher
- Elsevier BV
- Published
- 2015-12
- Volume
- 19
- Pages
- 34-45
- ISSN
- 2210-6707 (ISSN-L)
- OpenAlex
- W1009846835
- Cited by
- 422
- References
- 13
- Citations by year
- 2026: 28 · 2025: 29 · 2024: 44 · 2023: 50 · 2022: 46 · 2021: 59 · 2020: 65 · 2019: 48 · 2018: 32 · 2017: 16 · 2016: 4 · 2015: 1
- FWCI
- 17.20
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Sustainable Cities and Society (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, urban parking demand, parking demand reduction, market penetration rate, urban form, agent-based modeling
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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.
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