Analysis of Permanent Housing Built after Disaster: Van (Turkey)

In 2011, 644 people passed away after two earthquakes struck the city of Van, located in eastern Turkey. Houses collapsed or were rendered uninhabitable. Thousands of people became homeless. In response, the government built 17 489 units of permanent housing in a standard size and type. This study d...

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Main Authors: Sinan Öztaş, Gökay Akkaya
Format: Article
Language:English
Published: Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek 2019-01-01
Series:Tehnički Vjesnik
Subjects:
Online Access:https://hrcak.srce.hr/file/325800
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spelling doaj-00eb2b812e8044bca08e922d6a068b8d2020-11-25T01:02:47ZengFaculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek Tehnički Vjesnik1330-36511848-63392019-01-01264935940Analysis of Permanent Housing Built after Disaster: Van (Turkey)Sinan Öztaş0Gökay Akkaya1Department of Industrial Engineering, Industrial Engineering Department of Ataturk University, Yakutiye, Erzurum, 25240, TurkeyDepartment of Industrial Engineering, Industrial Engineering Department of Ataturk University, Yakutiye, Erzurum, 25240, TurkeyIn 2011, 644 people passed away after two earthquakes struck the city of Van, located in eastern Turkey. Houses collapsed or were rendered uninhabitable. Thousands of people became homeless. In response, the government built 17 489 units of permanent housing in a standard size and type. This study determined a more effective housing allocation for earthquake victims by considering the types of households (one-person households, one-family households, extended-family households and multi-person, no family households) and the total available housing area as allotted by the government’s relief building budget. The Analytic Hierarchy Process was used to prioritize home features for each type of household. These results showed that housing size tailored to household need was more important than price, location or design. Mathematical modeling was then used to identify housing space allocations that would serve family needs better than a uniform building approach.https://hrcak.srce.hr/file/325800permanent housingdisaster operations managementmathematical modellinganalytic hierarchy process
collection DOAJ
language English
format Article
sources DOAJ
author Sinan Öztaş
Gökay Akkaya
spellingShingle Sinan Öztaş
Gökay Akkaya
Analysis of Permanent Housing Built after Disaster: Van (Turkey)
Tehnički Vjesnik
permanent housing
disaster operations management
mathematical modelling
analytic hierarchy process
author_facet Sinan Öztaş
Gökay Akkaya
author_sort Sinan Öztaş
title Analysis of Permanent Housing Built after Disaster: Van (Turkey)
title_short Analysis of Permanent Housing Built after Disaster: Van (Turkey)
title_full Analysis of Permanent Housing Built after Disaster: Van (Turkey)
title_fullStr Analysis of Permanent Housing Built after Disaster: Van (Turkey)
title_full_unstemmed Analysis of Permanent Housing Built after Disaster: Van (Turkey)
title_sort analysis of permanent housing built after disaster: van (turkey)
publisher Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek
series Tehnički Vjesnik
issn 1330-3651
1848-6339
publishDate 2019-01-01
description In 2011, 644 people passed away after two earthquakes struck the city of Van, located in eastern Turkey. Houses collapsed or were rendered uninhabitable. Thousands of people became homeless. In response, the government built 17 489 units of permanent housing in a standard size and type. This study determined a more effective housing allocation for earthquake victims by considering the types of households (one-person households, one-family households, extended-family households and multi-person, no family households) and the total available housing area as allotted by the government’s relief building budget. The Analytic Hierarchy Process was used to prioritize home features for each type of household. These results showed that housing size tailored to household need was more important than price, location or design. Mathematical modeling was then used to identify housing space allocations that would serve family needs better than a uniform building approach.
topic permanent housing
disaster operations management
mathematical modelling
analytic hierarchy process
url https://hrcak.srce.hr/file/325800
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AT gokayakkaya analysisofpermanenthousingbuiltafterdisastervanturkey
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