A Comprehensive Data Preparation for Insights on Mobility Patterns in Sofia
A Comprehensive Data Preparation for Insights on Mobility Patterns in Sofia

Summary/Abstract: This study investigates mobility patterns in Sofia, Bulgaria, focusing on commute travelers. The research utilizes data from a mobile network operator, providing unique insights into the spatial and temporal movements of residents. The data set presents peculiarities such as the impact of Covid-19 restrictions and vacation periods on travel frequency. The research involves a detailed data preparation process, including extracting and analyzing geospatial data using Google Places API, identifying and cleaning duplicate geographic data points, visualizing geographical data and performing point-in-polygon operations with Python libraries, and integrating travelers' data. This comprehensive approach ensures precise, reliable, and insightful results, potentially informing future city planning and transportation policies.

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