Deep Uncertainty in Humanitarian Logistics - Model, Data and Analyses

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Romijn, Tim (2018): Deep Uncertainty in Humanitarian Logistics - Model, Data and Analyses. Version 1. 4TU.ResearchData. dataset.
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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:
  • 2018-11-23 first online, published, posted
4TU.Centre for Research Data
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TU Delft, Faculty of Technology, Policy and Management, Department of Multi-Actor Systems


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