2015 winter test in Luxembourg – R&D project for a new light self-standing tent

In 2011 the three largest entities operating in humanitarian sheltering, IRC, ICRC, and UNHRC launched a R&D project to continue the efforts of defining a lightweight, self-supporting family-shelter solution for emergency operations. The aim was to develop a solution even lighter than the standard family tent, at a lower cost and with fewer constraints regarding production, transport and storage. In addition to these technical and logistic criteria, further criteria for usability, user-satisfaction and climatic response were introduced.

The process has been coordinated and managed by Senior Shelter Specialists from IFRC-Shelter and Settlements Department (IFRC-SSd) and UNHCR.

After different tests and a selection process, two proposed models were selected to be tested on winter conditions. The Project industrial partners of these models were requested to produce two prototypes of each model for comparative testing, one sample of each model with winter cover and another without.

The winter test was originally planned to take place in Pakistan. However

Are you sure you want to delete this "resource"?
This item will be deleted immediately. You cannot undo this action.
File Name File Size Download
24Lu18-Geodesic-tent-Winter-test-LUX.pdf

Related Resources

Report, Research
06 Apr 2023
In recent years, chatbots have offered humanitarian operations the possibility to automate personalised engagement and support, inform tailored programme design and gather and share information at a large scale. However, adopting a chatbot is never...
Tags: Report, Research, Mobile Technology
Guidance material, Report, Research
05 Dec 2024
Urban planning at the heart of increasingly severe East African flood impacts in a warming world 23 May, 2024 DARAJA / Resurgence mention on pp.18-19 of the Full Study. The 2024 long rains in East Africa were exceptionally heavy towards the end of Ma...
Tags: Guidance material, Report, Research, Anticipatory action, Capacity Building for Disaster Risk Management, Early Warning Systems, Flood, Hazard, Infrastructure and Services, Mapping and Geospatial Data, Resilience and Disaster Risk Management, Urban Preparedness
Research
13 Mar 2024
The present study proposed a novel interpretable machine learning approach to predict household-level evacuation decisions by leveraging easily accessible demographic and resource-related predictors, compared to existing models that mainly rely on ps...
Tags: Research, Hurricane / Typhoon / Cyclone, Mobile Technology
Scroll to Top