4.6 Article

Risk Assessment Models to Improve Environmental Safety in the Field of the Economy and Organization of Construction: A Case Study of Russia

Journal

SUSTAINABILITY
Volume 13, Issue 24, Pages -

Publisher

MDPI
DOI: 10.3390/su132413539

Keywords

construction risk; ecological risk; economy risk; environmental safety; Monte Carlo method; quality of life; risk assessment; sustainability

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This article evaluates risks in housing and industrial construction to emphasize the importance of environmental safety for sustainable development. Quantifying environmental risk and making decisions under uncertainty are highlighted as key factors for future environmental safety strategies in construction projects. The study utilizes the Monte Carlo method for risk assessment and emphasizes the need for rapid development in this field in Russia.
This article assesses risks in order to substantiate the economic and organizational efficiency of housing and industrial construction. This topic is relevant because it is necessary for sustainable development. In Russia, environmental safety in construction and housing, as well as communal services, is poorly developed and not regulated by the legal system. As building construction, housing, and communal services should be based on environmental safety, this topic requires rapid development. Methods related to quantifying environmental risk and making decisions under conditions of uncertainty were studied. A quantitative risk assessment was performed using the Monte Carlo method for pessimistic and optimistic options to prevent environmental damage. The model reproduced the distribution derived from the evidence-based fit. The results of sensitivity analysis are also presented to prove the hypothesis. The selection of the most appropriate probability density functions for each of the input quantities was implemented through settings in a computer program. The simulation modeling results clearly illustrate the choice of the general principle of assessment and the adoption of the optimal decision. In conditions of uncertainty, the decision to choose the optimistic options with high cost (to maintain the reliability of the technical system) but less risk plays a decisive role in the future environmental safety strategies of construction projects. The Monte Carlo method is preferable for environmental impact assessments. In the future, the amended methodology can be applied to raise environmental safety in the field of construction.

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