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	Provedor de dados AgEcon (1) Autor Cho, Seong-Hoon (1) Eastwood, David B. (1) Omitaomu, Olufemi A. (1) Poudyal, Neelam C. (1) Palavra-chave C35 (1) Land development (1) Multilayer neural network (1) R14 (1) Two-stage probit least squares (1) Tipo do documento Journal Article (1) Ano 2007 (1) País United States (1) Idioma Inglês (1)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 1 Primeira ... 1 ... Última 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 AgEcon Cho, Seong-Hoon; Omitaomu, Olufemi A.; Poudyal, Neelam C.; Eastwood, David B.. 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. Tipo: Journal Article Palavras-chave: Land development; Multilayer neural network; Two-stage probit least squares; C35; R14. Ano: 2007 URL: http://purl.umn.edu/37057 Registros recuperados: 1 Primeira ... 1 ... Última

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