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: 10.4121/72e97df0-147c-4228-a1b4-8bb8e8461317

van Schilt, Isabelle (2024): Code: Generating Graphs based on Real-World Port Data. Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/72e97df0-147c-4228-a1b4-8bb8e8461317.v1

Software

• Water Transport
• Interdisciplinary Engineering
• Engineering
• Transport

data, graph, port

CC BY-NC-ND 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Isabelle van Schilt

This repository is part of the Ph.D. thesis of Isabelle M. van Schilt, Delft University of Technology.

This repository is used to generate a graph of open-source sea and airport data. For this, open-source data of the shipping schedules given by MSC, Maersk, HMM, and Evergreen is used. The data is collected from the websites of the shipping companies (see also https://github.com/EwoutH/shipping-data). The data is then processed to generate a graph of the shipping schedules, including the distributions of the shipping schedules. The graph is used to analyze the shipping schedules and to identify the most important ports in the network. Airport data is collected from the open-source OpenFlights database.

As case study, we collect data on CN-HK to main ports in the USA, and mostly MSC data on South America to NL-BE.

This repository is used for developing various graphs on open-source data and automatically running it as a simulation model in the repository: complex_stylized_supply_chain_model_generator

• 2024-07-22 first online, published, posted

4TU.ResearchData

*.py

TU Delft, Faculty of Technology, Policy and Management, Department of Multi-Actor Systems (MAS)