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dc.creatorWalker, Christopher J
dc.date.accessioned2019-06-10T16:16:30Z
dc.date.available2019-06-10T16:16:30Z
dc.date.created2020-05
dc.date.submittedMay 2020
dc.identifier.urihttps://hdl.handle.net/1969.1/175436
dc.description.abstractThe purpose of this study is to investigate and forecast the impact of hurricane Florence on home prices in North Carolina. Quantitative data was gathered from real estate comparison websites such as Zillow and Redfin, while qualitative data from news reports and FEMA disaster declarations were used to better analyze the impact of hurricane Florence. Using both qualitative and quantitative sources, an analysis was conducted to compare historical home values with home values immediately following hurricane Florence. Using methodologies from past studies, forecasts were made for each impacted zip code that estimate the median home value one year following hurricane Florence to better understand the rate at which different areas recover. Charts and maps were used to visualize historical trends as well as forecasts. By conducting this data analysis study, similar studies on focused on other hurricanes can be used to compare the impact of Hurricane Florence to other hurricane events. Conducting this research serves to enhance the growing literature on the economic impact of hurricanes.en
dc.format.mimetypeapplication/pdf
dc.subjectreal estateen
dc.subjectdataen
dc.subjectdata scienceen
dc.subjectregressionen
dc.subjectpythonen
dc.subjectsklearnen
dc.subjectscikit-learnen
dc.subjecthome valuesen
dc.subjecthurricaneen
dc.subjectflorenceen
dc.subjectnorth carolinaen
dc.subjectdisasteren
dc.subjecteconomicsen
dc.subjectforecastingen
dc.subjectpredictingen
dc.subjectforecasten
dc.subjectpredicten
dc.subjecthome pricesen
dc.subjecthousingen
dc.titleForecasting the Value of Single Family Homes as a Result of Hurricane Florenceen
dc.typeThesisen
thesis.degree.departmentLandscape Architecture & Urban Planningen
thesis.degree.disciplineUrban & Regional Planningen
thesis.degree.grantorUndergraduate Research Scholars Programen
thesis.degree.nameBSen
thesis.degree.levelUndergraduateen
dc.contributor.committeeMemberMeyer, Michelle A
dc.type.materialtexten
dc.date.updated2019-06-10T16:16:30Z


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