Urban Micro-Mobility Analysis – Chicago & Austin

Explore micro-mobility patterns through Divvy (Chicago) and Austin bike-sharing datasets. This project is part of the Transport Innovation for a Sustainable, Inclusive and Smart Mobility program at Politecnico di Torino.

Project Highlights

• Data Cleaning & Preparation – Handle large datasets efficiently.
• Exploratory Analysis – Visualize trip patterns and usage trends.
• Insights on Urban Mobility – Compare Chicago and Austin micro-mobility behavior.

Structure

Project/
│
├─ Ex1_2.ipynb         # Jupyter Notebook, Austin
├─ Ex3_4.ipynb.zip*     # Jupyter Notebooks, Chicago
├─ instructions.pdf    # Project problem statement
├─ report.pdf          # Final project report
└─ README.md           # This file

*Note: Full datasets (~65MB) are hosted externally due to GitHub size limits.

How to Run

1. Clone the repository.
2. Install dependencies (pandas, matplotlib, etc.).
3. Download the database based on the instructions.
4. Change file addresses.
5. Run Jupyter Notebooks.