Behavioral engineering model to identify risks of losses in the construction industry

V. G. Borkovskaya, D. Passmore

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Scopus citations


An important aspect of risk assessment in construction is the development of a method by which the results of a risk analysis can be converted into recommendations for the admissibility of complex systemic risk. And also the degree of expediency of taking measures, the safety, necessary to reduce this risk in the construction industry. The Behavioral Engineering Model (BEM) developed by Gilbert provides us with a way to systematically and systemically identify barriers to individual and organizational performance. The BEM distinguishes between a person’s repertory of behavior (what the individual brings to the performance equation) and the environmental supports (the work environment factors that encourage or impede performance). By means of the Gilbert model this article will consider the risk criteria, determine the most significant risks of losses in the construction industry, and give suggestions on their minimization and elimination. In essence, the risk assessment is used to determine the measures that need to be taken to control the management or completely eliminate the risks that arise as a consequence of hazards. Qualitatively conducted engineering risk assessment and implementation of measures to prevent and minimize risks at the enterprise allows to reduce the probability of occurrence of dangerous events, thereby increasing security, and to reduce unprofitability. Engineering risk assessment can become one of the key links in the formation of the enterprise’s risk management system in construction.

Original languageEnglish (US)
Title of host publicationSmart Technologies and Innovations in Design for Control of Technological Processes and Objects
Subtitle of host publicationEconomy and Production - Proceeding of the International Science and Technology Conference “FarEastСon-2018” Volume 1
EditorsDenis B. Solovev
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages8
ISBN (Print)9783030155766
StatePublished - Jan 1 2020
EventInternational Scientific Conference, FarEastCon 2018 - Vladivostok, Russian Federation
Duration: Oct 2 2018Oct 4 2018

Publication series

NameSmart Innovation, Systems and Technologies
ISSN (Print)2190-3018
ISSN (Electronic)2190-3026


ConferenceInternational Scientific Conference, FarEastCon 2018
Country/TerritoryRussian Federation

All Science Journal Classification (ASJC) codes

  • General Decision Sciences
  • General Computer Science


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