Deep Uncertainty in Humanitarian Logistics - Model, Data and Analyses

Datacite citation style

Romijn, Tim (2018): Deep Uncertainty in Humanitarian Logistics - Model, Data and Analyses. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/uuid:f056f50d-0546-4ec3-9d5e-8c85aa9296b1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

This archive contains the model, the data and the analyses of my MSc Thesis. The model and analyses are coded in Python and documented in Jupyter Notebooks. Thesis Title: Deep Uncertainty in Humanitarian Logistics: Simulation and Analysis of the Interplay between Decisions and Uncertainty for Post-Disaster Facility Location Decisions Link to Thesis: http://resolver.tudelft.nl/uuid:580c5a9c-73dc-4195-930e-97c524a4b7c7

History

  • 2018-11-23 first online, published, posted

Publisher

4TU.Centre for Research Data

Format

media types: application/json, application/octet-stream, application/x-gzip, application/zip, image/png, text/csv, text/markdown, text/plain, text/x-python

Organizations

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

DATA

Files (2)