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“Data-driven development in the smart city: Generative design for refugees camps in Luxembourg”

“Data-driven development in the smart city: Generative design for refugees camps in Luxembourg”

Authors

Elie Daher, Arch. He studied Architecture in Lebanon, (he is graduated from the Insti-tute of Fine-Arts, department of Architecture, Lebanese University, Tripoli, Lebanon, in 2009). After four years of experience acquired in well recognized construction projects in several countries, he pursued the Master of “Global Design, specialty Architecture, Model-ling and Environment” at the “Ecole Nationale Supérieure d’Architecture” of Nancy, France in 2014). Since February 2015, Elie Daher is a R&D engineer at LIST. His applied works are covering the design computing, BIM processes, BIM management, BIM implementation, 3D coordination, 4D BIM simulation, parametric architectural modelling and optimisation.

Sylvain Kubicki, Dr. Arch. He studied Architecture in France and Switzerland. He was graduated from the Architecture School of Nancy, France, in 2003. He got a PhD in Archi-tecture Science, with a thesis entitled “Assisting flexible coordination in building construction activity. A model-driven approach to design cooperation context visualization tools”. He is now Senior Research and Technology Associate at Luxembourg Institute of Science and Tehnology, working on Building Information Modeling and construction technologies, both through research projects and consultancy services.

Annie Guerriero, Dr. Arch. She is a senior research engineer at the Luxembourg Insti-tute of Science and Technology (LIST, Luxembourg) where she workds since 2005. She is an architect graduated from the Victor Horta Institute (Brussels, 2001) and she performed a master in “Modelling and simulation of built spaces” (Henri Poincaré University, Nancy) in 2002. She obtained her PhD in April 2009 in Architecture Science at the INPL (Institut Na-tional Polytechnique de Lorraine). Her thesis, entitled “Representation of trust in the collec-tive activity. Application to the coordination of the building construction activity ”, suggests a new approach for coordinating the AEC (Architecture, Engineering and Construction) activi-ty based on trust assessment and multi-visualisation. This work received a distinction by the Academy of Architecture (France) in 2010. Currently, her research works is led at the LIST in the field of Building Information Modeling, smart systems and collective decision-making support dedicated to the construction sector.

This paper describes a research work carried out to investigate the potential application of com-putational design to assist humanitarian activities. The output of this research consists of a proto-type capable of generating a village of parametric containers from data requirements (e.g. regula-tions, technical constraints). It enables new capacities of intervention in post-disaster situations answering in fast way problems that occur by creating new methods for humanitarian sheltering. The originality of the proposed idea relies on the innovative capacities of intervention in urban planning based on generative design for more responsiveness and efficiency. The parametric ap-proach proposed should help in (1) enhancing the quality and reducing the time needed for the planning, especially in the initial steps, (2) enabling a smooth collaboration and information ex-changes between different stakeholders, (3) allowing non-experts to contribute to the develop-ment of urban planning, through the rapid 3D visualization, and (4) providing a generative deci-sion-support computer system based on computable parameters. This approach contributes to the resilience of cities and territories facing the problem of migrant flows.

This work investigates the potential application of computational design to assist humanitarian activities. It explores the capacity of parametric modeling to assist the development of contain-ers’ villages for refugees, in order to help archi-tects, humanitarian people and policy makers in the strategic planning and decision-making. It starts with developing a design process for the container village. This process is based on the optimization of the spatial layout related to ex-pected usages, taking into account contextual constraints (e.g. site accessibility, orientation, etc.) and numerical constraints (e.g. containers dimensions or number of received migrants, etc.). The result is a prototype of parametric containers’ village.

This prototype based on generative design computerizes the constraints and part of the design process related to refu-gees’ camps. This approach improves the resili-ence of cities facing to the problem of migrants flux. The current prototype presents some lim-its. The research focuses on the identification of parameters for modeling a prototype shelter and a layout of a camp. Aspects related to con-struction materials and costs are not considered in the implementation, at the moment. The origi-nality of the proposed idea relies on the innova-tive capacities of intervention in the urban plan-ning based on generative design for more re-sponsiveness and efficiency. The parametric approach proposed should help in

(1) enhanc-ing the quality and reducing the time needed for the planning, especially in the initial steps,
(2) enabling a smooth collaboration and information exchanges between different stakeholders,
(3) allowing non-experts to contribute to the devel-opment of urban planning, through the rapid 3D visualization, and
(4) providing a generative de-cision-support computer system based on com-putable parameters.