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Achievements

Achievement: Pull Shark

Achievements

Achievement: Pull Shark

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@Metropolis2 @MobiSurvStd

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LucasJavaudin/README.md

Hi, I'm Lucas Javaudin! 👋

I'm a postdoc research at Institut Polytechnique de Paris, working on transport modelling and mobility survey analysis.

🚀 Main projects

Organization Description
Metropolis2 Repositories for the METROPOLIS2 dynamic transport simulator
MobiSurvStd Python library to standardize and analyze French mobility surveys

📄 Research papers

  • intermodality-analysis
    Javaudin, L. (2026). Aggregating Mobility Surveys to Understand Intermodality: Evidence from 68 French Surveys. Working paper.

  • MetropolisZFE
    Javaudin, L. & de Palma, A. (2026). Impact of Low Emission Zones on Spatial and Economic Inequalities using a Dynamic Transport Simulator. Working paper.

  • MetropolisBottleneck · Metropolis1-2Comparison
    Javaudin, L. (2024). Development of a Dynamic Transport Simulator for Policy Evaluation: Applications to Ride-Sharing and Low Emission Zone in Paris. PhD thesis, Chapter 2. CY Cergy Paris Université.

  • personalized-incentives-algorithm
    Javaudin, L., Araldo, A., & de Palma, A. (2025). Personalised incentives with constrained regulator's budget. Transportmetrica A: Transport Science, 21(3), 2284353.

🔧 Other projects

More of my work lives on my self-hosted Forgejo instance:
👉 forge.lucasjavaudin.com/LucasJavaudin

Pinned Loading

  1. Metropolis2/Metropolis-Core Metropolis2/Metropolis-Core Public

    Metropolis-Core: the Rust-based core of the METROPOLIS2 simulator.

    Rust 4 1

  2. Metropolis2/pymetropolis Metropolis2/pymetropolis Public

    Helper functions to generate, calibrate, run, and analyze METROPOLIS2 simulation instances

    Python 2

  3. MobiSurvStd/MobiSurvStd MobiSurvStd/MobiSurvStd Public

    A tool to standardize French mobility survey datasets (EMC², EGT, EMP, etc.) into a unified format.

    Python 6 1

  4. intermodality-analysis intermodality-analysis Public

    Analysis of intermodality trips by aggregating mobility surveys

    Python