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| Lin, Huiyan; Lu, Kang Shou; Espey, Molly; Allen, Jeffery. |
| Complexity of urban systems necessitates the consideration of interdependency among various factors for land use change modeling and prediction. The objective of this study is to explore the applicability of computational neural networks in modeling urban sprawl and land use change coupled with geographic information systems (GIS) in Hilton Head Island, South Carolina. We are particularly interested in the capabilities of neural networks to identify land use patterns, to model new development, and to predict future change. A binary logistic regression model is estimated comparison. The results indicate the neural network model is an improvement over the logistic regression model in terms of prediction accuracy. |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Land Economics/Use. |
| Ano: 2005 |
URL: http://purl.umn.edu/19364 |
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| Owusu-Edusei, Kwame; Espey, Molly; Lin, Huiyan. |
| This study jointly estimates the impact of school quality and school proximity on residential property values in Greenville, South Carolina. While quality is found to be capitalized into residential property values, the degree of capitalization depends on school level and proximity to each school for which the house is zoned for attendance. In general, there is positive value associated with closer proximity to schools of all levels, and negative value associated with a significantly longer than average distance to schools. In terms of quality rankings, excellence at the elementary and high school levels has the strongest impact on property values. |
| Tipo: Journal Article |
Palavras-chave: Hedonics; Park proximity; School proximity; School quality; Land Economics/Use; I21; O18; R21. |
| Ano: 2007 |
URL: http://purl.umn.edu/6609 |
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