The Impact of an Urban Growth Boundary on Land Development in Knox County, Tennessee: A Comparison of Two-Stage Probit Least Squares and Multilayer Neural Network Models

Seong-Hoon Cho (), Olufemi A. Omitaomu, Neelam C. Poudyal and David B. Eastwood

Journal of Agricultural and Applied Economics, 2007, vol. 39, issue 3, 17

Abstract: The impact of an urban growth boundary (UGB) on land development in Knox County, TN is estimated via two-stage probit and neural-network models. The insignificance of UGB variable in the two-stage probit model and more visible development patterns in the western part of Knoxville and the neighboring town of Farragut during the post-UGB period in both models suggest that the UGB has not curtailed urban sprawl. Although the network model is found to be a viable alternative to more conventional discrete choice approach for improving the predictability of land development, it is at the cost of evaluating marginal effects.

Date: 2007
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Journal Article: The Impact of an Urban Growth Boundary on Land Development in Knox County, Tennessee: A Comparison of Two-Stage Probit Least Squares and Multilayer Neural Network Models (2007)
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Persistent link: https://EconPapers.repec.org/RePEc:ags:joaaec:37057

DOI: 10.22004/ag.econ.37057

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