Safety Benchmarking of Industrial Construction Projects Based on Zero Accidents Techniques

dc.contributor.authorRogers, Jennifer Kathleenen
dc.contributor.committeechairde la Garza, Jesus M.en
dc.contributor.committeememberVan Aken, Eileen M.en
dc.contributor.committeememberOzbek, Mehmet Egemenen
dc.contributor.committeememberMulva, Stephenen
dc.contributor.committeememberFallah-Fini, Saeidehen
dc.contributor.departmentConstruction Engineering and Managementen
dc.date.accessioned2014-03-14T21:36:54Zen
dc.date.adate2012-06-26en
dc.date.available2014-03-14T21:36:54Zen
dc.date.issued2012-05-30en
dc.date.rdate2012-06-26en
dc.date.sdate2012-06-04en
dc.description.abstractSafety 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.en
dc.description.degreeMaster of Scienceen
dc.identifier.otheretd-06042012-145429en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-06042012-145429/en
dc.identifier.urihttp://hdl.handle.net/10919/42859en
dc.language.isoenen
dc.publisherVirginia Techen
dc.relation.haspartRogers_JK_T_2012.pdfen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectConstruction safetyen
dc.subjectdata envelopment analysisen
dc.subjectzero inflated poisson regressionen
dc.subjectzero accidents techniquesen
dc.subjectconstruction industry instituteen
dc.titleSafety Benchmarking of Industrial Construction Projects Based on Zero Accidents Techniquesen
dc.typeThesisen
thesis.degree.disciplineCivil Engineeringen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

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