This research evaluated forecasting accuracy of hedonic price models based on a number of different submarket assumptions. Using home sale data for the City of Knoxville and vicinities merged with geographic information, we found that forecasting housing prices with submarkets defined using...

The objective of this research is to determine the spatial variation in amenity values for both quantity and quality of green open space in the housing market. Variables related to size, proximity, spatial configuration, and species composition of open space are endogenized in the global and...

Three types of market segmentation strategies are available to estimate hedonic housing price models—i.e. no segmentation, segmentation by using statistical clustering methods and segmentation by using a priori information. This research tests the hypothesis of Tiebout theory that...

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...

We developed an economic demand model of wildlife hunting and found that sociodemograpahic and ecological characteristics of county are its strong predictors. Result shows that the hunting is not popular among younger generation; and promoting hunting clubs and lease-hunting, recruiting young...

This study evaluates how urban residents value variety, spatial configuration, and patterns of open space in their neighborhoods. Quantitative matrices that were borrowed from landscape ecology were first used to measure the variety and spatial arrangement of open space plots and landuses around...