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Copyright of Journal of Planning Education & Research is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Abstract This study provides evidence for the impact of an urban growth boundary (UGB) on house prices. The study employs a two-stage quantile spatial regression method on a dataset that inventories sales transactions of single-family houses within two miles of either side of the eastern boundary of the primary UGB in King County, Washington. The results show that while the UGB decreases house prices across the entire house price spectrum, the impact is uneven; it is most pronounced for houses in the 5th to 8th decile of prices. These findings should encourage policy makers to adopt sub-housing-market-level policy approaches to address UGB and other urban and regional development policies' potential impacts on house prices. [ABSTRACT FROM AUTHOR]

Using the Fremont Unified School District in Fremont, California, as the study area, this study estimates the impact of school quality on house prices and finds that a one-standard-deviation increase in the quality of elementary, middle, and high schools significantly increases house prices—by 20 percent for an average-priced house. I urge urban planners and policy makers to explicitly recognize the impact of schools on residential segregation, to consider access to high-quality K–12 education when developing plans and policies, to collaborate with school districts to improve educational quality, and to provide incentives for the construction of affordable housing in neighborhoods with high-quality schools. [ABSTRACT FROM AUTHOR]

This study provides evidence of the impact of an urban growth boundary (UGB) on housing and land prices. The study uses a data-set that inventories sales transactions of single-family homes and of vacant lots zoned for single-family homes within two miles of either side of the eastern boundary of the primary UGB in King County, Washington. The results show that although the UGB increases land prices by 230 per cent, it decreases housing prices by 1.3 per cent. These findings should encourage policy-makers to adopt a policy framework in which a UGB's anticipated inflationary land price effect is mitigated by policies that increase housing supply. Such policies could include minimum density requirements, zoning for multifamily housing, and ordinances enabling the construction of accessory dwelling units. [ABSTRACT FROM AUTHOR]

The study empirically estimates the effects of four types of impact fees (road, school, park, and fire protection impact fees) on new and existing housing, as well as the fees’ differential effects on price as determined by housing quality. The results indicate that impact fees generally raise the price of new housing. Further, the magnitude and the direction of the housing price effect of individual impact fees vary substantially. For example, the park impact fee increases the price of new and existing housing, whereas the fire protection impact fee has no effect or has a negative effect on housing prices. [ABSTRACT FROM PUBLISHER]

This study provides evidence for a non-linear and weakly monotonic relationship between school quality and house prices. Using Fremont, California, as the study area, the regression analysis shows that homeowners are unwilling to pay a premium for an increase in school quality from low to medium quality. However, they are willing to pay a) a large premium when all schools are top-quality schools and b) a premium for access to nationally-renowned schools, which is in addition to the premium for top-quality schools. These findings have important land use policy significance because they provide new insights into the homeowner's residential location choice and highlight the need to consider school quality in a jurisdiction's land use and zoning decisions. • This study provides evidence for a non-linear and weakly monotonic relationship between school quality and house prices. • Dataset includes characteristics of single-family houses during the April 2012–March 2014 period in Fremont, CA, US. • Homeowners might not be willing to pay a premium for an increase in school quality from low- to medium-quality. • Homeowners pay a large premium for high-quality elementary schools when middle and high schools are high-quality too. • Homeowners pay a significant premium (12%) for nationally-renowned schools above the premium for top-quality schools. [ABSTRACT FROM AUTHOR]

Abstract: This paper provides evidence on the impact of a sub-urban transit-oriented development (TOD) on surrounding single-family home prices. Using a dataset that inventories single-family home sale transactions surrounding Ohlone Chenyoweth TOD in San Jose, CA, the paper employs hedonic regression to estimate the effect of the TOD on home prices. Controlling for the effects of the distance from the light rail line, the station and other transportation facilities, the impact of the TOD on home sale prices is statistically significant at p =0.10 level, with an average home sale price increase of $21,000 (or 3.2%) for every 50% reduction in the distance between the home and the TOD. Further, the paper finds that the TOD’s price effect dissipates after 1/8 mile. Finally, housing prices within 1/8 mile of the TOD were 18.5% higher than the prices more than 1/8 mile from the TOD during the post-TOD construction period; 7.3% higher during the TOD construction period and not statistically different in the pre-TOD construction period. [Copyright &y& Elsevier]

Using a longitudinal data set that inventories single-family home sale transactions within 3.2 km (2 mi) of the Central District redevelopment area of Oakland, CA, this paper finds that the targeted efforts to redevelop the Central District have partially mitigated the District's negative impact on surrounding neighborhoods. The paper examined the Central District from 1992 to 2006, a period during which the District changed in character from a business district to a mixed-use vibrant area. During the period 1992 through 2000, proximity to the Central District negatively impacted housing prices up to 1.6 km (1 mi) from the District boundary. However, the magnitude of the impact reduced in the 2001-2006 period and dissipated after 0.8 km (0.5 mi) from the District boundary, indicating that the redevelopment efforts had a positive spill-over effect on surrounding property values. [ABSTRACT FROM AUTHOR]

This article uses 1991-2000 data on single-family housing sales from King County, WA, to provide new evidence relating to the effects of impact fees on housing prices. The hedonic regression method is used to examine the effects of these fees on existing housing as well as their differential effects on price as determined by housing quality. Impact fees raise existing home prices by about 83 percent of the amount of the fee. The increase is 103 percent for high-quality homes and is not statistically significant for low-quality homes. The owners of high-quality homes realize capital gains from impact fees. However, such fees do not raise the price of low-quality homes. To the extent that low-quality housing is more likely to be owned by low- and moderate-income households, which are often composed of racial and ethnic minorities, this finding has significant policy implications for the supporters of impact fees. [ABSTRACT FROM AUTHOR]

This paper provides new evidence on the effects of impact fees on housing prices, using an inventory of single-family housing sale transactions in the 38 cities and towns within King County, Washington, for the period 1991-2000. Although the effect of impact fees on housing prices has been examined previously, earlier studies have been limited by methodological deficiencies. This paper examines the effect of impact fees on new housing and their differential effect on housing price based on the quality of housing, and finds that the effect of impact fees on the price of new housing is quite significant and elastic, raising new home prices by about 166 per cent of the amount of the fee. The increase is 358 per cent for the higher-quality homes and is statistically insignificant for the lower-quality homes. [ABSTRACT FROM AUTHOR]

• This study provides evidence on the impact of a heavy-rail-based transit station on house prices. • Dataset includes characteristics of single-family houses sold during January 2000–April 2018 period. • Houses are located within eight kilometers of Warm Springs station of the San Francisco Bay Area Rapid Transit system. • The station increased house prices across the entire price spectrum. • The price increase began more than ten years before the rail service commenced. This study provides evidence on the impact of a heavy-rail-based transit station on house prices by employing quantile regression method on a dataset that inventories sales transactions of single-family houses during the January 2000–April 2018 period, and within eight kilometers (five miles) of the Warm Springs station of the San Francisco Bay Area Rapid Transit system. The station is located in Fremont, CA. The results show that a) the station increased house prices across the entire price spectrum, and b) the price increase began more than ten years before the rail service commenced. On a larger note, this study should strengthen efforts to a) provide or extend heavy-rail-based rapid transit systems in areas of high need and b) explore the use of value capture tools to fund transit. [ABSTRACT FROM AUTHOR]