Adaptive Reuse of Religious Buildings and Schools in the US: Determinants of Project Outcomes

This study addresses factors that affect the outcomes of adaptive reuse of empty religious buildings and schools in the United States. Literature-driven observable factors expected to have an impact on project outcomes include both supply side and demand side factors (building characteristics, neighborhood demographics, micro-location characteristics, macro-economic factors, etc.) are used as explanatory variables. This study uses the multinomial logit model with the outcome of adaptive reuse projects (e.g., apartments, condominiums, retail, office and cultural uses) as the dependent variable. This study has found that many supply side and demand side factors are associated with certain outcomes. It is expected that the results of this study can offer valuable basic information about associations between factors and development outcomes for adaptive reuse.Adaptive reuse; Multinomial logit model; Religious buildings and schools

The Effect of School Quality on Residential Sales Price

This study seeks to find the extent to which various measures of public school quality are capitalized into house prices after the No Child Left Behind Act (2001). Individual residential sales in Cuyahoga County, Ohio for 2000 and 2005 are analyzed as to the effect of school quality using regression analysis with a spatial error model. Results show that while all school quality measures tested have some explanatory power, school district ratings and performance index, which are comprehensive measures of school quality, are the most appropriate measures and are readily capitalized into housing prices.

Religious Value Halos: The Effect of a Jewish Orthodox Campus on Residential Property Values

Ten years ago, there was a controversial expansion of an Orthodox Jewish religious campus in the suburb of a large Midwestern US city. This research takes a before and after approach to addressing the effects of this project on residential property values, especially within walking distance of the campus. Separate regression analyses have been run for 1997 and 2006, and the findings indicate that the campus has increased property values and prompted additional building permits. The findings show that the completion of the Jewish Orthodox campus increases residential property values between 17 percent and 20 percent within a quarter mile in the city where the facility is located.

Determining Off-Site Damages to Non-Residential Property from Leaking Underground Storage Tanks Using Contingent Valuation Analysis

This research evaluates the effect of leaking underground storage tanks (LUSTs) from gas stations on nearby commercial property when the existing data is incomplete or imperfect. While methodologies such as hedonic regression may be preferred for evaluating the effects of LUSTs on property values, the rigorous data requirements of these methodologies often cannot be met. Contingent valuation analysis is one method that enables estimation of losses when the data available is incomplete. A contingent valuation analysis of real estate professionals in South Carolina and Ohio provides estimates of commercial property losses, which ranges from 0-40%, depending on environmental conditions and proximity to the source. This research has developed a methodology for estimating real estate property value losses when data requirements cannot be fulfilled based on the best available data.Environmental contamination; Commercial property; Underground storage tanks; Contingent valuation analysis

A Meta-Analysis of the Effect of Environmental Contamination and Positive Amenities on Residential Real Estate Values

This paper addresses the effects of environmental contamination and positive amenities on proximate residential real estate property values in the United States. Contamination sources include leaking underground storage tanks, superfund sites, landfills, water and air pollution, power lines, pipeline ruptures, nuclear power plants, animal feedlots and several other urban nuisance uses. The study summarizes a literature review of 75 peer-reviewed journal articles and selected case studies, and generates a data set of about 290 observations that contain information about each study’s loss (the dependent variable), with the independent variables being distance from the source, type of contamination, urban or rural environment, geographic region, market conditions and several other variables. Ordinary least squares is used to determine the effect of the contamination variables on reduction in property value. Broad contamination types, amenities, selected economic regions, distance from the source, information, research method and several other variables are statistically significant.

Determining Market Perceptions on Contamination of Residential Property Buyers using Contingent Valuation Surveys

This study reports on the results of several residential contingent valuation (CV) studies conducted throughout the US. Over the past several years CV has often been used to illustrate potential residential buyer bid prices for contaminated real property. The data set for this study contains 1,115 telephone interviews and examines the consistency of the results for residential property affected by a Leaking Underground Storage Tank (LUST) in different markets in eight states, controlling for income, age, education, local market type, and other demographic factors. Negative discounts associated with a LUST for marginal bidders in the top half of the market were quite consistent across states, varying from ?25% to ?33%, with an average of ?31%,. Using ANOVA indicates that bidding patterns from six of the seven states were statistically similar. Male bidders, those over 40 years of age and those with no high school degree were more likely to bid, while those with higher incomes and those bidding on certain, rather than suspected contamination, were less likely to bid. Local market type did not appear to affect bid outcomes. Using the marginal bidder approach, the CV results benchmark reasonably closely to, but still higher than, revealed preference outcomes for residential LUST sites in Ohio.

The Effect of Underground Storage Tanks on Residential Property Values in Cuyahoga County, Ohio

This study considers the effect of underground storage tanks on residential sales price. These effects are tested with a hedonic pricing model for all 1992 residential sales in Cuyahoga County, Ohio. Three types of tanks were tested: non-leaking tanks registered with the state of Ohio, leaking tanks that are currently not registered, and registered leakers. Results show that close proximity (same block or within 300 feet) to registered, non-leaking tanks and to unregistered leakers did not significantly affect sales price. However, proximity to a leaking, registered tank demonstrated a reduction in price of over 17%.

Do Housing Rehabs Pay Their Way? A National Case Study

This research focuses on if housing rehabilitation by community development corporations pays its own way. The recent experience of ten local housing organizations in the Neighborhood Reinvestment Corporation network is examined. These organizations assist homeowners in rehabbing existing units and acquire, rehab and transfer units to new occupants. The findings indicate that rehabbed housing units provide substantial benefits to the local economy. The rehabbed units return $0.55, on average, for every local government dollar invested. In addition, economic benefits such as increased property values and tax base, and construction jobs and permanent jobs were created and sustained.

The Value Impact of New Residential Construction and Neighborhood Disinvestment on Residential Sales Price

The topic of neighborhood redevelopment is central to residential appraisal and the lending process. We examine both the effect of neighborhood upgrading and decline, captured by subsidized new residential construction and sustained property tax delinquency respectively, on the sales price of one-to-two family homes. The research uses a two stage hedonic price model of 12,100 individual residential sales in Cleveland, Ohio during 1992-94. Results show a significant positive effect of $670 on the sales price of existing housing for each new unit built in a one-to-two block area. A decrease in sales price of$778 is associated with a 1% increase in the tax delinquency rate. The spatial variability of these effects is also explored.