1,686
Views
38
CrossRef citations to date
0
Altmetric
Articles

BIM for construction safety improvement in Gaza strip: awareness, applications and barriers

, &
Pages 249-265 | Published online: 19 Apr 2016
 

Abstract

The objectives of this paper are to elicit the perception of contracting parties regarding building information modelling (BIM), the most important safety-related applications of BIM and the barriers to adopting BIM in the local construction industry. Data for this study were collected through a questionnaire survey. A total of 75 questionnaires were randomly distributed to contractors, owners and consultants, and 37 were returned, representing a 49% response rate. The findings indicated that 33% of the respondents had no knowledge of the concept of BIM, 28% of the respondents’ organizations are not using BIM and if used it was implemented to a limited extent. The results indicated that ‘hazard identification and minimization’ and ‘safety training and education’ are the most important safety-related applications provided by BIM tools to improve safety performance in construction. Lack of universal use in the construction sector and insufficient training availability are the highest ranked barriers to adopting BIM in construction to improve safety. The research results may assist BIM developers to introduce the best applicable tools to improve safety performance in the construction industry. It is recommended that training courses be conducted regarding BIM concept and the benefits of its application in the construction industry.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 158.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.