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sutlab

https://github.com/kaghog/sutlab

Science Score: 44.0%

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Repository

Basic Info
  • Host: GitHub
  • Owner: kaghog
  • License: gpl-2.0
  • Language: Python
  • Default Branch: main
  • Size: 1.44 MB
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  • Stars: 0
  • Watchers: 0
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created 11 months ago · Last pushed 10 months ago
Metadata Files
Readme Changelog License Citation

README.md

sutLab

Hannover Synthetic Population

This part contains the synthetic population generation pipeline for Hannover, including all scripts, configurations, and analysis tools.

The pipeline generates:

  • Synthetic households and persons with sociodemographic attributes
  • Daily activity schedules and trips
  • Outputs in both CSV and GeoPackage (GPKG) formats for direct use in MATSim simulations and related spatial analyses.

Data preparation and usage

To run the pipeline successfully, you need to gather and prepare several input datasets, such as:

  • Administrative boundaries of Hannover
  • MiD 2017 German national travel survey
  • Buildings
  • Driving license statistics
  • OpenStreetMap

For step-by-step instructions on gathering and structuring the necessary data, please refer to the Data preparation.

To run the analysis, add the stage 'analysis.hannover.ivt_style.analysis'. This will produce plots for comparison between HTS and synthesis data.

Owner

  • Login: kaghog
  • Kind: user

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
title: "eqasim"
version: 1.5.0
url: "https://github.com/eqasim-org/ile-de-france/"
preferred-citation:
  type: article
  authors:
  - family-names: "Hörl"
    given-names: "Sebastian"
    orcid: "https://orcid.org/0000-0002-9018-432X"
  - family-names: "Balac"
    given-names: "Milos"
    orcid: "https://orcid.org/0000-0002-6099-7442"
  doi: "10.1016/j.trc.2021.103291"
  journal: "Transportation Research Part C: Emerging Technologies"
  month: 9
  start: 103291
  title: "Synthetic population and travel demand for Paris and Île-de-France based on open and publicly available data"
  volume: 130
  year: 2021

GitHub Events

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Dependencies

.github/workflows/data.yml actions
  • actions/checkout v2 composite
  • conda-incubator/setup-miniconda v2 composite
.github/workflows/tests.yml actions
  • actions/cache v2 composite
  • actions/checkout v2 composite
  • actions/setup-java v4 composite
  • conda-incubator/setup-miniconda v2 composite
environment.yml pypi
  • bhepop2 ==2.0.0
  • synpp ==1.5.1