Determining Correlation Between Parking and Quality of Life

Description

  • Juanes Lamilla

  • 03 March, 2023

Public code repository and analysis jupyter notebook can be found here.

Objective: To determine if there is a statistically significant correlation between parking and quality of life in cities. While advised by Dr. Damian Maddalena, this project was completely self-led in terms of idea, planning, and execution.

Data: Quality of Life (QOL) models were matched against parking data from OpenStreetMap. Using the Overpass API, over 600,000 data points were examined from 250+ global cities.

Analysis: Data was cleaned and tested using a variety of Python libraries, including Pandas, GeoPy, and OverPy. SciKit-Learn was then used to determine a statistically significant correlation between parking and QOL.

Feel free to contact me by email if you are interested in reading the full report.

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