Safety Benchmarking of Industrial Construction Projects Based on Zero Accidents Techniques

Safety is a continually significant issue in the construction industry. The Occupation Safety and Health Administration as well as individual construction companies are constantly working on verifying that their selected safety plans have a positive effect on reduction of workplace injuries. Worker safety is a large concern for both the workers and employers in construction and the government also attempts to impose effective regulations concerning minimum safety requirements. There are many different methods for creating and implementing a safety plan, most notably the Construction Industry Institute's (CII) Zero Accidents Techniques (ZAT). This study will attempt to identify a relationship between the level of ZAT implementation and safety performance on industrial construction projects. This research also proposes that focusing efforts on certain ZAT elements over others will show different safety performance results. There are three findings in this study that can be used to assist safety professionals in designing efficient construction safety plans. The first is a significant log-log relationship that is identified between the DEA efficiency scores and Recordable Incident Rate (RIR). There is also a significant difference in safety performance found between the Light Industrial and Heavy Industrial sectors. Lastly, regression is used to show that the pre-construction and worker selection ZAT components can predict a better safety performance.

Name thesis:degree_name

Master of Science

Level thesis:degree_level

masters

Discipline thesis:degree_discipline

Civil Engineering

Department dc:contributor.department

Construction Engineering and Management

Grantor dc:publisher

Virginia Tech

Year dc:date.issued

2012

Author dc:creator

• Rogers, Jennifer Kathleen

Chair dc:contributor.committeechair

• de la Garza, Jesus M.

Committee members dc:contributor.committeemember

• Van Aken, Eileen M.
• Ozbek, Mehmet Egemen
• Mulva, Stephen
• Fallah-Fini, Saeideh

• Construction safety
• data envelopment analysis
• zero inflated poisson regression
• zero accidents techniques
• construction industry institute

Statement dc:rights

• In Copyright

Licence dc:rights.uri

• http://rightsstatements.org/vocab/InC/1.0/

Language dc:language.iso

en

Dc Identifier Other

etd-06042012-145429

OAI identifier oai:identifier

oai:vtechworks.lib.vt.edu:10919/42859