Efficient safety information retrieval on construction sites : a preliminary methodology


Autoria(s): Zhang, Hao; Chi, Seokho; Yang, Jay; Wang, Ting-Kwei
Data(s)

01/11/2012

Resumo

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.

Identificador

http://eprints.qut.edu.au/55045/

Publicador

American Society of Civil Engineers

Relação

http://icsdc.ci-asce.org/

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.

Direitos

Copyright 2012 [please consult the author]

Fonte

School of Civil Engineering & Built Environment; Science & Engineering Faculty

Palavras-Chave #120000 BUILT ENVIRONMENT AND DESIGN #IT-supported field data management #on-site safety inspections #risk identification
Tipo

Conference Paper