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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Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek
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Online Access: | https://hrcak.srce.hr/file/325800 |
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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 |
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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 |
work_keys_str_mv |
AT sinanoztas analysisofpermanenthousingbuiltafterdisastervanturkey AT gokayakkaya analysisofpermanenthousingbuiltafterdisastervanturkey |
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1725203650512420864 |