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Omaha Property Values and GI
In Omaha, NE, more than 25 GI projects have been completed to date, with several featuring GI practices in public parks. Using a repeat sales model , we examined the effect of GI on the value of nearby single-family homes, based on housing sales and characteristic data from 2000 to 2018. We evaluated the sales price for homes using a buffer zone of 0-0.5km, and three additional models: homes within 0-0.25km, 0.25-0.5km, and greater than 0.5km from parks where GI was installed for 25,472 sale pairs. In addition to the repeat sales model, we performed a hot spot analysis on several demographic characteristics to capture systematic differences at a smaller spatial scale and over a longer time period than the repeat sales model could capture. We used US Census data on race and household income to examine changing patterns over time and space, and a spatial lag Maximum Likelihood Estimation model to determine if the location of GI correlated with either of these demographics.
This dataset is associated with the following publication:
Hoover, F., J. Price, and M. Hopton. Examining the Effects of Green Infrastructure on Residential Sales Prices in Omaha, NE. Urban Forestry & Urban Greening. Elsevier B.V., Amsterdam, NETHERLANDS, 54: 126778, (2020).
Complete Metadata
| accessLevel | public |
|---|---|
| bureauCode |
[
"020:00"
]
|
| contactPoint |
{
"fn": "Matthew Hopton",
"hasEmail": "mailto:hopton.matthew@epa.gov"
}
|
| description | In Omaha, NE, more than 25 GI projects have been completed to date, with several featuring GI practices in public parks. Using a repeat sales model , we examined the effect of GI on the value of nearby single-family homes, based on housing sales and characteristic data from 2000 to 2018. We evaluated the sales price for homes using a buffer zone of 0-0.5km, and three additional models: homes within 0-0.25km, 0.25-0.5km, and greater than 0.5km from parks where GI was installed for 25,472 sale pairs. In addition to the repeat sales model, we performed a hot spot analysis on several demographic characteristics to capture systematic differences at a smaller spatial scale and over a longer time period than the repeat sales model could capture. We used US Census data on race and household income to examine changing patterns over time and space, and a spatial lag Maximum Likelihood Estimation model to determine if the location of GI correlated with either of these demographics. This dataset is associated with the following publication: Hoover, F., J. Price, and M. Hopton. Examining the Effects of Green Infrastructure on Residential Sales Prices in Omaha, NE. Urban Forestry & Urban Greening. Elsevier B.V., Amsterdam, NETHERLANDS, 54: 126778, (2020). |
| distribution |
[
{
"title": "RepeatSalesModel_RegressionData_FINAL.xlsx",
"mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
"downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504128/RepeatSalesModel_RegressionData_FINAL.xlsx"
}
]
|
| identifier | https://doi.org/10.23719/1504128 |
| keyword |
[
"Green Infrastructure",
"ecosystem services",
"hedonic analysis",
"repeat-sales",
"residential property sales",
"scenario planning",
"stormwater management"
]
|
| license | https://pasteur.epa.gov/license/sciencehub-license.html |
| modified | 2019-08-07 |
| programCode |
[
"020:096"
]
|
| publisher |
{
"name": "U.S. EPA Office of Research and Development (ORD)",
"subOrganizationOf": {
"name": "U.S. Environmental Protection Agency",
"subOrganizationOf": {
"name": "U.S. Government"
}
}
}
|
| references |
[
"https://doi.org/10.1016/j.ufug.2020.126778"
]
|
| rights |
null
|
| title | Omaha Property Values and GI |
