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

Dataset

• Information Systems

Decision Pathways, Decision-Uncertainty Interaction, Deep Uncertainty, Exploratory Modelling, Facility Location, Humanitarian Logistics, master thesis, Post-Disaster Decision-Making

CC0

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

by Tim Romijn

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

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

4TU.Centre for Research Data

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

• http://resolver.tudelft.nl/uuid:580c5a9c-73dc-4195-930e-97c524a4b7c7

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