Omaha Property Values and GI
Data and Resources
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RepeatSalesModel_RegressionData_FINAL.xlsxXLS
RepeatSalesModel_RegressionData_FINAL.xlsx
| Field | Value |
|---|---|
| accessLevel | public |
| bureauCode | {020:00} |
| catalog_conformsTo | https://project-open-data.cio.gov/v1.1/schema |
| identifier | https://doi.org/10.23719/1504128 |
| license | https://pasteur.epa.gov/license/sciencehub-license.html |
| modified | 2019-08-07 |
| programCode | {020:096} |
| publisher | U.S. EPA Office of Research and Development (ORD) |
| publisher_hierarchy | U.S. Government > U.S. Environmental Protection Agency > U.S. EPA Office of Research and Development (ORD) |
| references | {https://doi.org/10.1016/j.ufug.2020.126778} |
| resource-type | Dataset |
| source_datajson_identifier | true |
| source_hash | a4944f0395147bfdbb551eb96322e7c3d592205d |
| source_schema_version | 1.1 |
| Groups |
|
| Tags |
|
| isopen | False |
| license_id | other-license-specified |
| license_title | other-license-specified |
| maintainer | Matthew Hopton |
| maintainer_email | hopton.matthew@epa.gov |
| metadata_created | 2025-09-24T23:26:22.416734 |
| metadata_modified | 2025-09-24T23:26:22.416744 |
| notes | 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). |
| num_resources | 1 |
| num_tags | 15 |
| title | Omaha Property Values and GI |