Warning: Data folder is not provided due to privaet sensitive data belonging to Perigon AI
Welcome to the Yerevan Parking Pattern Analysis project!
The analysis is performed based on the raw GPS mobile data collected from 2019 to 2022, covering the area of Yerevan, Armenia. We are interested in the red line parking lots in the Center and Arabkir regions of Yerevan. It is remarkable to note that data distribution may differ yearly due to changes in user behavior, device exposure, and data-gathering methods. Consequently, this provides both opportunities and challenges when processing the data to understand dynamics over time. However, our data is substantial enough to draw some conclusions about the dynamics around the red lines. However, before drawing conclusions, the raw GPS data has to undergo preprocessing stages and must be processed largely by applying mathematical modeling to become suitable for analysis. Inside the repository, at the root, you will find a detailed paper that elaborates on the methodologies, data processing techniques, analysis results, and key findings of this research. The paper provides an in-depth look into how the GPS data was collected, the preprocessing steps taken to ensure data quality, and the mathematical models applied to derive meaningful insights from the data. Additionally, it discusses the implications of the findings for urban planning and policy-making in Yerevan, providing recommendations based on the observed parking patterns. This document is essential for anyone interested in the technical details and the comprehensive results of the study.