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...

The main objective of this research is to propose a data-driven approach to estimate the amenity values of restoring urban forest landscapes at potential target sites. The approach allows establishing the overall price-driving time relationship between the amenity values attributable to both...

This research evaluates the effects of a hypothetical land value tax as a smart growth policy to curtail urban sprawl in the mid-sized metropolitan areas of the Southeastern United States. The effectiveness of a hypothetical land value tax on moderating urban sprawl is determined by changes in...