@article{THESIS,
      recid = {7289},
      author = {Lopez, Barrett},
      title = {The Future of Chicago’s Transit-Oriented Development: A  Quantitative Analysis of Ridership by ACS and Zoning  Variables},
      publisher = {University of Chicago},
      school = {B.A.},
      address = {2022-04},
      number = {THESIS},
      abstract = {This thesis seeks to develop a comprehensive understanding  of chronically underused stations throughout the Chicago  Transit Authority’s rail network. I will specifically focus  on land use, demographic, and built environment indicators  within block groups at a half-mile radius as independent  variables, studying these variables with all rail stations  in the CTA system from 2016-2019. Through the use of  negative binomial multivariate regression models with  American Community Survey (ACS) block-group level and City  of Chicago Zoning Ordinance data, I seek to discern common  trends shaping the current status of the system’s use with  a distinct focus on the large variety of ridership  quantities in the system. Results show that demographic  indicators of white population and employment, were  significantly correlated with heightened ridership at a  system-wide level. Significant zoning types offer unique  contributions to ridership assumptions, as Downtown Core  (DC), Private Development (PD), and Residential Single-Unit  (RS) districts see estimated increased ridership  proportional to their areas proximate to stations; the  areas of Transit (T) and Neighborhood Commercial (C1)  districts show negative estimates. Finally, the model  suggests highly significant positive coefficients buildings  finished within the eras of post-2000 and 1940-1969.  Despite the existence of multiple significant regressors  among each type of presumed transit effectors, high  standard errors deter certainty of conclusions in each  highly significant variable in the final model, which uses  35 unique regressors. This analysis should not be  interpreted causally, but the recognition of significant  zoning, demographic, and built environment coefficients in  a suggest intricate relations to ridership at the  system-wide level.},
      url = {http://knowledge.uchicago.edu/record/7289},
      doi = {https://doi.org/10.6082/uchicago.7289},
}