Location Entropy Analysis

Calculates location entropy per taxi driver from the EPFL Cabspotting GPS dataset to analyze mobility patterns.

Dataset

• Source: EPFL Cabspotting - San Francisco Taxi GPS Traces
• Size: 536 taxi drivers, ~11M GPS records

Setup

1. Create a virtual environment

   cd main
   python -m venv venv

2. Activate the environment

   • Windows:

     venv\Scripts\activate

   • macOS/Linux:

     source venv/bin/activate

3. Install dependencies

   pip install -r requirements.txt

Running the Notebook

1. Start Jupyter:

   jupyter notebook

2. Open location_entropy_cabspotting.ipynb

3. Run all cells (Cell → Run All or Shift+Enter per cell)

Output

• entropy_results.csv - Entropy values per driver
• entropy_analysis.png - Visualization of entropy distribution