k-proto Clustering of Personas to Adapt Synthetic Populations to Future Scenarios

Overview

The presented clustering approach creates proto-personas based on census and mobility survey data for the Île-de-France region. This method aims to facilitate the combined work of designers and simulation experts, considering future uncertainties of urban mobility systems. A scientific article with a detailed method description is currently being published.

Features

• Cluster proto-personas based on census and mobility survey data
• Integrate trends and uncertainties for different future scenarios
• Scale up populations to match set target values via Iterative Proportional Updating

1. Clone the repository:

git clone https://github.com/your-username/urban-mobility-decision-support-tool.git

2. Install the required dependencies:

pip install -r requirements.txt

Data and Scenarios

The method relies on input data for the current population, mobility behaviour, and scenarios. It is filled with data from Île-de-France, but you can replicate the process with data from other contexts.

Contributing

Contributions are welcome! If you have any suggestions, bug reports, or feature requests, please open an issue or submit a pull request.

License

This project is licensed under the MIT License.

Acknowledgments

This project was developed as part of the Anthropolis Chair's (IRT SystemX/CentraleSupélec) research on sustainable urban mobility. We would like to acknowledge the support and contributions of the research team and funding agencies.

Contact

For questions or inquiries, please contact:

Tjark Gall Email: tjark.gall@urban-framework.com