The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Do Land-Use Controls Cause Sprawl?
Abstract
Low-density urbanization, also known as urban sprawl, has accelerated in the United States in recent years, In this article I will test the cumulative influence of locally adopted (municipal) land-use controls on sprawl. Land-use controls that shift the cost of development onto builders and away from the general public are found to reduce sprawl; those that mandate low densities are found cumulatively to increase sprawl, whereas urban containment systems have limited cumulative effects. Further, regions whose local governments rely on ad valorem property taxes to fund services and infrastructure tend to sprawl more than those that rely on a broader tax base.
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Citations
Cites
A Pure Theory of Local Expenditures
Tiebout, C. M. (1956) · Journal of Political Economy · doi:10.1086/257839 · Cited by 13,222
Cited by
Environmental Impacts of Urban Sprawl: A Survey of the Literature and Proposed Research Agenda
Johnson, M. P. (2001) · Environment and Planning A: Economy and Space · doi:10.1068/a3327 · Cited by 677
Upzoning and Single-Family Housing Prices: A (Very) Early Analysis of the Minneapolis 2040 Plan
Kuhlmann, D. (2021) · Journal of the American Planning Association · doi:10.1080/01944363.2020.1852101 · Cited by 46
Metadata
- Authors
- Pendall, R.
- Venue
- Environment and Planning B: Planning and Design
- Publisher
- SAGE Publications
- Published
- 1999-08
- Volume
- 26
- Issue
- 4
- Pages
- 555-571
- ISSN
- 0265-8135 (ISSN-L)
- 1472-3417
- OpenAlex
- W2069057816
- Cited by
- 346
- References
- 1
- FWCI
- 11.33
- Type
- journal article
- Language
- en
- Open access
- closed
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- Pendall, R. (1999). Do Land-Use Controls Cause Sprawl? Environment and Planning B: Planning and Design. https://doi.org/10.1068/b260555
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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.