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.

Highlights

  • The number of existing buildings is significantly larger than that of new buildings in numerous advanced countries (Caputo et al 2013; Cheng, Ma 2015; Vringer et al 2016)

  • In this context, building a systematic approach that contains a set of evaluation criteria encompassing all possible factors influencing building service life, and using this system to assess the obsolescence conditions and predict the service life of buildings, will be extremely beneficial for the future promotion of existing buildings from sustainability to longevity

  • A mathematical model based on Langston and Shen’s (2007) studies for predicting building service life is developed by combining the evaluation criteria, six obsolescence factors, and diagnostic scores

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Summary

Introduction

The number of existing buildings is significantly larger than that of new buildings in numerous advanced countries (Caputo et al 2013; Cheng, Ma 2015; Vringer et al 2016). Few studies have focused on the complex, non-obsolescence factors because of the large scope of these factors and the immense difficulty to quantify them (Vakili-Ardebili 2007) In this context, building a systematic approach that contains a set of evaluation criteria encompassing all possible factors influencing building service life, and using this system to assess the obsolescence conditions and predict the service life of buildings, will be extremely beneficial for the future promotion of existing buildings from sustainability to longevity. A mathematical model based on Langston and Shen’s (2007) studies for predicting building service life is developed by combining the evaluation criteria, six obsolescence factors, and diagnostic scores. The model is applied to four case studies, and the results are compared to the expert evaluations

Overview of assessment criteria that influence building service life
AHP methodology
Determination of criteria and corresponding weights
Development of the mathematic model
Findings
Conclusion and suggestions
Full Text
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