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Analysis of intermodality trips by aggregating mobility surveys
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README.md

Aggregating Mobility Surveys to Understand Intermodality: Evidence from 78 French Surveys

This repository contains the code I use to analyze intermodality trips by aggregating French mobility surveys.

The MobiSurvStd library is used to standardize the mobility surveys.

Requirements

  • Python environment with the packages listed in pyproject.toml (I recommend using uv)
  • R with the libraries arrow and icarus
  • A set of mobility surveys standardized with MobiSurvStd (the 78 surveys that I use are not open-data)
  • INSEE data on the municipalities' density level (for survey re-weighting)
  • INSEE data on the census (for survey re-weighting)
  • A file with the location of public-transit stops in France with column stop_name, slug (AOM code), modes (list of modes served by the stop), and geometry. This file is only used for the last part of the code. Contact me if you need it.
  • LaTeX (to generate the paper PDF)
  • Typst (to generate the poster)

How to run

  1. Go through all the Python files and modify the global configuration variables when needed. All theses configuration variables are in uppercase. The main configuration variables are in main.py, weighting.py, and mpl.py. They are used to specify the path for the input and output files and to configure the language, size, format, labels, etc. of the graphs.
  2. Run the main script main.py with Python. For example, if you use uv, use uv run python src/intermodality_analysis/main.py.
  3. You can access the result values in output/results.json (default path) and the generated graphs in output/paper_graphs (for paper) or output/poster_graphs (for poster).
  4. (Optional) To generate the paper PDF, run LaTeX on the file docs/wctr/wctr_javaudin.tex to PDF. Note that the result values need to be manually changed.
  5. (Optional) To generate the poster PDF, run Typst on the file docs/poster/intermodality_poster.typ. From the main directory: typst compile docs/poster/main.typ --root .. Note that the result values are automatically updated from the values in output/results.json.

License

The Python and R codes are licensed under the MIT license. Feel free to modify and redistribute them for your cool projects with MobiSurvStd!

The LaTeX and Typst files are copyrighted and all rights are reserved. You may NOT use, copy, modify, or distribute this code without my explicit permission.