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A combination of the Knapsack algorithm and MIVES for choosing optimal temporary housing site locations: a case study in Tehran

Autor
Pons-Valladares, O.; de la Fuente, A.; Hosseini, S.
Tipus d'activitat
Article en revista
Revista
International journal of disaster risk reduction
Data de publicació
2017-10-13
Volum
27
Pàgina inicial
265
Pàgina final
277
DOI
https://doi.org/10.1016/j.ijdrr.2017.10.013 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/112053 Obrir en finestra nova
URL
http://www.sciencedirect.com/science/article/pii/S2212420917303035?via%3Dihub Obrir en finestra nova
Resum
In the aftermath of natural disasters, decision-makers often clash when tackling the challenge of choosing suitable temporary housing unit (THU) site locations. Site location considerably impacts temporary housing (TH) delivery time and the displaced population's (DP's) satisfaction. At the same time, selecting a suitable site is important to help increase the performance of the THUs in their subsequent life. To this end, this study aimed to design a new model for selecting site location based o...
Citació
Pons-Valladares, O., de la Fuente, A., Hosseini, S.M.A. A combination of the Knapsack algorithm and MIVES for choosing optimal temporary housing site locations: a case study in Tehran. "International journal of disaster risk reduction", 13 Octubre 2017, p. 1-13.
Paraules clau
Disaster recovery, Knapsack algorithm, MCDM, MIVES, Site location, Temporary housing
Grup de recerca
EC - Enginyeria de la Construcció
GAT - Grup d'Arquitectura i Tecnologia

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