PMID- 32184810
OWN - NLM
STAT- MEDLINE
DCOM- 20201221
LR  - 20201221
IS  - 1687-5273 (Electronic)
IS  - 1687-5265 (Print)
VI  - 2020
DP  - 2020
TI  - Construction Project Safety Performance Management Using Analytic Network Process 
      (ANP) as a Multicriteria Decision-Making (MCDM) Tool.
PG  - 2610306
LID - 10.1155/2020/2610306 [doi]
LID - 2610306
AB  - 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.
CI  - Copyright (c) 2020 Murat Gunduz and Basil K. Khader.
FAU - Gunduz, Murat
AU  - Gunduz M
AUID- ORCID: 0000-0003-2602-3318
AD  - Dept. of Civil Engineering, Qatar University, Po Box: 2713, Doha, Qatar.
FAU - Khader, Basil K
AU  - Khader BK
AD  - Dept. of Civil Engineering, Qatar University, Po Box: 2713, Doha, Qatar.
LA  - eng
PT  - Journal Article
DEP - 20200225
PL  - United States
TA  - Comput Intell Neurosci
JT  - Computational intelligence and neuroscience
JID - 101279357
SB  - IM
MH  - *Computer Simulation
MH  - *Construction Industry
MH  - Humans
MH  - *Occupational Health
MH  - *Safety Management
PMC - PMC7060845
COIS- The authors declare that they have no conflicts of interest.
EDAT- 2020/03/19 06:00
MHDA- 2020/12/22 06:00
PMCR- 2020/02/25
CRDT- 2020/03/19 06:00
PHST- 2019/12/02 00:00 [received]
PHST- 2020/01/11 00:00 [revised]
PHST- 2020/01/21 00:00 [accepted]
PHST- 2020/03/19 06:00 [entrez]
PHST- 2020/03/19 06:00 [pubmed]
PHST- 2020/12/22 06:00 [medline]
PHST- 2020/02/25 00:00 [pmc-release]
AID - 10.1155/2020/2610306 [doi]
PST - epublish
SO  - Comput Intell Neurosci. 2020 Feb 25;2020:2610306. doi: 10.1155/2020/2610306. 
      eCollection 2020.