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Developing a systematic approach to evaluate and predict building service life.

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Title: Developing a systematic approach to evaluate and predict building service life.
Authors: Chen, Chien-Jung1, Juan, Yi-Kai2, Hsu, Yin-Hao2
Source: Journal of Civil Engineering & Management. Oct2017, Vol. 23 Issue 7, p890-901. 12p.
Subjects: Service life, Building obsolescence, Delphi method, Analytic hierarchy process, Building design & construction
Abstract: Analyzing the reasonable service life of buildings is a critical step to evaluate the decision for building utilization, reuse, or disposal. If buildings manifest service value, sustainable refurbishment and reuse methods can be employed to extend their service life. Previous studies on building service life largely focused on physical obsolescence. Few studies have analyzed other aspects. The objective of the present study was to propose a systematic approach to evaluate and predict the reasonable service life of buildings. First, the Fuzzy-Delphi Method (FDM) and analytical hierarchy process (AHP) were adopted to determine the final evaluation criteria and weights. Second, a mathematical model for predicting building service life was developed by combining the evaluation criteria, six obsolescence factors, and diagnostic scores. Finally, the model was applied to four case studies. The results produced by the model were consistent with those determined by an expert panel, verifying its effectiveness as a tool for decision making for formulating favorable suggestions concerning asset disposal, urban renewal, and renovation. Later obsolescence of buildings can be reduced by taking into account the proposed obsolescence criteria in the construction of new buildings to avoid implementing designs that are prone to obsolescence, thereby enhancing building service life. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Civil Engineering & Management is the property of Vilnius Gediminas Technical University and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: Developing a systematic approach to evaluate and predict building service life.
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  Data: <searchLink fieldCode="AR" term="%22Chen%2C+Chien-Jung%22">Chen, Chien-Jung</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Juan%2C+Yi-Kai%22">Juan, Yi-Kai</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Hsu%2C+Yin-Hao%22">Hsu, Yin-Hao</searchLink><relatesTo>2</relatesTo>
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  Data: <searchLink fieldCode="DE" term="%22Service+life%22">Service life</searchLink><br /><searchLink fieldCode="DE" term="%22Building+obsolescence%22">Building obsolescence</searchLink><br /><searchLink fieldCode="DE" term="%22Delphi+method%22">Delphi method</searchLink><br /><searchLink fieldCode="DE" term="%22Analytic+hierarchy+process%22">Analytic hierarchy process</searchLink><br /><searchLink fieldCode="DE" term="%22Building+design+%26+construction%22">Building design & construction</searchLink>
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  Label: Abstract
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  Data: Analyzing the reasonable service life of buildings is a critical step to evaluate the decision for building utilization, reuse, or disposal. If buildings manifest service value, sustainable refurbishment and reuse methods can be employed to extend their service life. Previous studies on building service life largely focused on physical obsolescence. Few studies have analyzed other aspects. The objective of the present study was to propose a systematic approach to evaluate and predict the reasonable service life of buildings. First, the Fuzzy-Delphi Method (FDM) and analytical hierarchy process (AHP) were adopted to determine the final evaluation criteria and weights. Second, a mathematical model for predicting building service life was developed by combining the evaluation criteria, six obsolescence factors, and diagnostic scores. Finally, the model was applied to four case studies. The results produced by the model were consistent with those determined by an expert panel, verifying its effectiveness as a tool for decision making for formulating favorable suggestions concerning asset disposal, urban renewal, and renovation. Later obsolescence of buildings can be reduced by taking into account the proposed obsolescence criteria in the construction of new buildings to avoid implementing designs that are prone to obsolescence, thereby enhancing building service life. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Civil Engineering & Management is the property of Vilnius Gediminas Technical University and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.3846/13923730.2017.1341956
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        Text: English
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        PageCount: 12
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      – SubjectFull: Service life
        Type: general
      – SubjectFull: Building obsolescence
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      – SubjectFull: Delphi method
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      – SubjectFull: Analytic hierarchy process
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      – SubjectFull: Building design & construction
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              Text: Oct2017
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