The DOI matches its Crossref record.
The High Cost of Free Parking
Open accessAbstract
Urban planners typically set minimum parking requirements to meet the peak demand for parking at each land use, without considering either the price motorists pay for parking or the cost of providing the required parking spaces. By reducing the market price of parking, minimum parking requirements provide subsidies that inflate parking demand, and this inflated demand is then used to set minimum parking requirements. When considered as an impact fee, minimum parking requirements can increase development costs by more than 10 times the impact fees for all other public purposes combined. Eliminating minimum parking requirements would reduce the cost of urban development, improve urban design, reduce automobile dependency, and restrain urban sprawl.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations
Fagnant, D. J., & Kockelman, K. (2015) · Transportation Research Part A: Policy and Practice · doi:10.1016/j.tra.2015.04.003 · Cited by 3,214
Shoup, D. C. (2006) · Transport Policy · doi:10.1016/j.tranpol.2006.05.005 · Cited by 987
Self-citationSustainable transportation planning on college campuses
Balsas, C. J. L. (2003) · Transport Policy · doi:10.1016/s0967-070x(02)00028-8 · Cited by 379
Reducing car dependence in the heart of Europe: lessons from Germany, Austria, and Switzerland
Buehler, R., Pucher, J., Gerike, R., & Götschi, T. (2017) · Transport Reviews · doi:10.1080/01441647.2016.1177799 · Cited by 355
Bonges, H. A., & Lusk, A. C. (2016) · Transportation Research Part A: Policy and Practice · doi:10.1016/j.tra.2015.09.011 · Cited by 315
Metadata
- Authors
- Shoup, D. C.
- Venue
- Journal of Planning Education and Research
- Publisher
- SAGE Publications
- Published
- 1997-09
- Volume
- 17
- Issue
- 1
- Pages
- 3-20
- ISSN
- 0739-456X (ISSN-L)
- 1552-6577
- OpenAlex
- W2112383081
- Cited by
- 1,024
- References
- 0
- FWCI
- 16.66
- Type
- journal article
- Language
- en
- Open access
- green
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The High Cost of Free Parking. https://app.cochat.ai/papers/10.1177/0739456x9701700102
- The paper
- Shoup, D. C. (1997). The High Cost of Free Parking. Journal of Planning Education and Research. https://doi.org/10.1177/0739456x9701700102
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.