A model for modifying the public transport service patterns to account for the imposed COVID-19 capacity

doi:10.4121/13383146.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/13383146
Datacite citation style:
Konstantinos Gkiotsalitis (2020): A model for modifying the public transport service patterns to account for the imposed COVID-19 capacity. Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/13383146.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Software
Description:

This repository contains the software code related to deriving dynamic service patterns in order to comply with the pandemic-imposed vehicle capacity limits in public transport operations.

Currently, this repository contains:

  1. The model_case_study.py script which is the source code of the devised dynamic service pattern model introduced in the paper "A model for modifying the public transport service patterns to account for the imposed COVID-19 capacity", which is currently under scientific review. This script contains all necessary functions to calculate the solution of the mathematical program for the scenario described in the case study of the scientific paper.

  2. The model_demonstration.py script that contains the implementation of the demonstration scenario in the aforementioned scientific paper.

Referencing:

In case you use this code for scientific purposes, you can cite the paper "A model for modifying the public transport service patterns to account for the imposed COVID-19 capacity" once it is publicly available.

License:

MIT License


Dependencies:

Note that the script model_case_study.py is written in Python. Running or modifying this script requires an installed version of Python 3.6. In addition, the mathematical model is solved with the use of Gurobi 9.0.3. You would need a Gurobi license to obtain an optimal solution.


Research Project:This software code is developed in the research programme 'COVID 19 Wetenschap voor de Praktijk', project number:10430042010018. The project is funded by the Dutch Research Organization for Health Research and Development (ZonMw)
history
  • 2020-12-16 first online, published, posted
publisher
4TU.ResearchData
funding
  • Project Name: Het COVID-19 Openbaar Vervoer Capaciteitsmodel: een beleidsondersteunend instrument voor de optimalisatie van de coronacapaciteit van het openbaar vervoer; Research Programme: COVID 19 Wetenschap voor de Praktijk; Project number:10430042010018. The project is funded by the Dutch Research Organization for Health Research and Development (ZonMw)
organizations
University of Twente, Transport Engineering and Management (TEM)

DATA

files (3)