Construction Project Safety Performance Management Using Analytic Network Process (ANP) as a Multicriteria Decision-Making (MCDM) Tool
The paper addresses the context in which the construction industry is considered risky, as the intense labor and machine environment interacts with acceleration and overlapping activities. This situation results in accidents and fatalities. A high number of accidents and fatalities leads to addition...
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2020-01-01
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Series: | Computational Intelligence and Neuroscience |
Online Access: | http://dx.doi.org/10.1155/2020/2610306 |
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doaj-753a70191db7452ea86b46c5fcacb71e2020-11-25T01:49:02ZengHindawi LimitedComputational Intelligence and Neuroscience1687-52651687-52732020-01-01202010.1155/2020/26103062610306Construction Project Safety Performance Management Using Analytic Network Process (ANP) as a Multicriteria Decision-Making (MCDM) ToolMurat Gunduz0Basil K. Khader1Dept. of Civil Engineering, Qatar University, Po Box: 2713, Doha, QatarDept. of Civil Engineering, Qatar University, Po Box: 2713, Doha, QatarThe paper addresses the context in which the construction industry is considered risky, as the intense labor and machine environment interacts with acceleration and overlapping activities. This situation results in accidents and fatalities. A high number of accidents and fatalities leads to additional costs and delays, detrimental to all stakeholders. Hazard identification and quantification of their impacts on building safety are crucial for planning. Classifying security risks is a complex process, and risks are interconnected. There is a gap in the literature to study the interconnections of these hazards along with the frequency of occurrences. To bridge this gap, the frequency-adjusted importance index and the ANP (Analytical Networking Process) tool were used to capture the 14 interconnections and their frequencies based on the results of a survey distributed to 106 construction professionals. The main contribution of this work to existing knowledge is to identify and prioritize potential risks in the construction sector, considering their interconnections and their level of occurrence frequency. This is the first study in the literature to combine the frequency-adjusted importance index and the ANP tool, both integrated. The results from the importance index was used as the base for pairwise comparison for the ANP model. Based on the results from the model, recommendations to industry professionals are provided and presented.http://dx.doi.org/10.1155/2020/2610306 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Murat Gunduz Basil K. Khader |
spellingShingle |
Murat Gunduz Basil K. Khader Construction Project Safety Performance Management Using Analytic Network Process (ANP) as a Multicriteria Decision-Making (MCDM) Tool Computational Intelligence and Neuroscience |
author_facet |
Murat Gunduz Basil K. Khader |
author_sort |
Murat Gunduz |
title |
Construction Project Safety Performance Management Using Analytic Network Process (ANP) as a Multicriteria Decision-Making (MCDM) Tool |
title_short |
Construction Project Safety Performance Management Using Analytic Network Process (ANP) as a Multicriteria Decision-Making (MCDM) Tool |
title_full |
Construction Project Safety Performance Management Using Analytic Network Process (ANP) as a Multicriteria Decision-Making (MCDM) Tool |
title_fullStr |
Construction Project Safety Performance Management Using Analytic Network Process (ANP) as a Multicriteria Decision-Making (MCDM) Tool |
title_full_unstemmed |
Construction Project Safety Performance Management Using Analytic Network Process (ANP) as a Multicriteria Decision-Making (MCDM) Tool |
title_sort |
construction project safety performance management using analytic network process (anp) as a multicriteria decision-making (mcdm) tool |
publisher |
Hindawi Limited |
series |
Computational Intelligence and Neuroscience |
issn |
1687-5265 1687-5273 |
publishDate |
2020-01-01 |
description |
The paper addresses the context in which the construction industry is considered risky, as the intense labor and machine environment interacts with acceleration and overlapping activities. This situation results in accidents and fatalities. A high number of accidents and fatalities leads to additional costs and delays, detrimental to all stakeholders. Hazard identification and quantification of their impacts on building safety are crucial for planning. Classifying security risks is a complex process, and risks are interconnected. There is a gap in the literature to study the interconnections of these hazards along with the frequency of occurrences. To bridge this gap, the frequency-adjusted importance index and the ANP (Analytical Networking Process) tool were used to capture the 14 interconnections and their frequencies based on the results of a survey distributed to 106 construction professionals. The main contribution of this work to existing knowledge is to identify and prioritize potential risks in the construction sector, considering their interconnections and their level of occurrence frequency. This is the first study in the literature to combine the frequency-adjusted importance index and the ANP tool, both integrated. The results from the importance index was used as the base for pairwise comparison for the ANP model. Based on the results from the model, recommendations to industry professionals are provided and presented. |
url |
http://dx.doi.org/10.1155/2020/2610306 |
work_keys_str_mv |
AT muratgunduz constructionprojectsafetyperformancemanagementusinganalyticnetworkprocessanpasamulticriteriadecisionmakingmcdmtool AT basilkkhader constructionprojectsafetyperformancemanagementusinganalyticnetworkprocessanpasamulticriteriadecisionmakingmcdmtool |
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