@article{THESIS,
      recid = {2458},
      author = {Crum, Grant},
      title = {Impact of Public Transit Access on Chicago Housing Prices},
      publisher = {University of Chicago},
      school = {B.A.},
      address = {2020-06},
      number = {THESIS},
      abstract = {This paper seeks to uncover the fiscal relationship  between public transportation access, particularly the rail  stations of the Chicago Transit Authority, and the Chicago  housing market. In addition to determining the fiscal  relationship between public transportation access and  housing in Chicago, I’ll analyze how crime rates at the  Chicago Transit Authority (CTA) stations impact their  usage. To solve these questions, I built multivariable  regressions for each research question. The regression for  the first research question had variables Median Home Value  in USD, CTA Station Present Y/N, Cumulative Crime by Zip  Code, High Crime Dummy Var, and Station & High Crime. The  regression for the second research question had variables  Cumulative Ridership Total, Cumulative Crime by Station,  Usage/Pop Density by ¼ Mile, and Median Household Income.  The data for these variables came from Social Explorer and  the Chicago Data Portal. To determine the number of crimes  by zip code and by ¼ mile radius of each CTA rail station,  I used the geospatial software QGIS to accomplish this. The  results from my first regression found that CTA rail  stations will always have a positive fiscal impact on the  housing market within that zip code, regardless of the  number of crimes in that zip code. The second regression  found that crime actually increased the number of riders  per station. From a Public Policy perspective, this study  reinforces the importance of public transportation access  for Chicago residents and recommends two policies that will  improve the efficiency of operating the Chicago Transit  Authority rail system.},
      url = {http://knowledge.uchicago.edu/record/2458},
      doi = {https://doi.org/10.6082/uchicago.2458},
}