Efficient safety information retrieval on construction sites : a preliminary methodology
Zhang, Hao, Chi, Seokho, Yang, Jay, & Wang, Ting-Kwei (2012) Efficient safety information retrieval on construction sites : a preliminary methodology. In ICSDEC 2012 : Developing the Frontier of Sustainable Design, Engineering, and Construction, American Society of Civil Engineers, The Worthington Renaissance Fort Worth Hotel, Fort Worth, TX, pp. 679-686.
IT-supported field data management benefits on-site construction management by improving accessibility to the information and promoting efficient communication between project team members. However, most of on-site safety inspections still heavily rely on subjective judgment and manual reporting processes and thus observers’ experiences often determine the quality of risk identification and control. This study aims to develop a methodology to efficiently retrieve safety-related information so that the safety inspectors can easily access to the relevant site safety information for safer decision making. The proposed methodology consists of three stages:
(1) development of a comprehensive safety database which contains information of risk factors, accident types, impact of accidents and safety regulations;
(2) identification of relationships among different risk factors based on statistical analysis methods; and
(3) user-specified information retrieval using data mining techniques for safety management.
This paper presents an overall methodology and preliminary results of the first stage research conducted with 101 accident investigation reports.
Impact and interest:
Citation countsare sourced monthly fromand citation databases.
These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.
Citations counts from theindexing service can be viewed at the linked Google Scholar™ search.
|Item Type:||Conference Paper|
|Keywords:||IT-supported field data management , on-site safety inspections, risk identification|
|Subjects:||Australian and New Zealand Standard Research Classification > BUILT ENVIRONMENT AND DESIGN (120000)|
|Divisions:||Current > Schools > School of Civil Engineering & Built Environment|
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Copyright Owner:||Copyright 2012 [please consult the author]|
|Deposited On:||22 Nov 2012 09:04|
|Last Modified:||13 Jun 2013 01:19|
Repository Staff Only: item control page