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A Fuzzy Risk Assessment Model for Small Scale Construction Work

Author

Listed:
  • Sabriye Topal

    (Department of Industrial Engineering, Eastern Mediterranean University, Famagusta 99628, Cyprus
    Department of Basic Sciences and Humanities, Cyprus International University, Nicosia 99258, Cyprus)

  • Emine Atasoylu

    (Department of Industrial Engineering, Eastern Mediterranean University, Famagusta 99628, Cyprus)

Abstract

Occupational risk assessment is important for providing employees with a safe and healthy work environment. When compared with other industries, the construction industry poses a higher risk for accidents due to the variety and complexity of skills required for different types of work in the sector. Small-sized construction sites have a higher risk of occupational injury. Countries without occupational safety and health (OSH) enforcement pose an additional risk increasing the need of an effective and easy-to-apply risk assessment approach. This research aims to develop and study an easy to apply risk assessment model for small-scale construction sites. The method includes opinions from experts on safety, checklists to estimate the possibility of occurrence of accidents, the identification of current site-specific safety levels, the severity of risk, and safety barriers. The model uses both historical data and fuzzy approaches to calculate risk level and was applied to four different construction sites in North Cyprus. Results reveal the risk level for each accident type and the aggregate safety level of the construction sites. Falling from height was identified as the most common accident type with the highest risk level. This study contributes to the development of sustainable OSH management systems for construction companies by highlighting the measures that must be taken to reduce occupational accidents.

Suggested Citation

  • Sabriye Topal & Emine Atasoylu, 2022. "A Fuzzy Risk Assessment Model for Small Scale Construction Work," Sustainability, MDPI, vol. 14(8), pages 1-17, April.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:8:p:4442-:d:789535
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    References listed on IDEAS

    as
    1. Min-Sung Kim & Eul-Bum Lee & In-Hye Jung & Douglas Alleman, 2018. "Risk Assessment and Mitigation Model for Overseas Steel-Plant Project Investment with Analytic Hierarchy Process—Fuzzy Inference System," Sustainability, MDPI, vol. 10(12), pages 1-17, December.
    2. J. H. M. Tah & V. Carr, 2000. "A proposal for construction project risk assessment using fuzzy logic," Construction Management and Economics, Taylor & Francis Journals, vol. 18(4), pages 491-500.
    3. Arkadiy Larionov & Ekaterina Nezhnikova & Elena Smirnova, 2021. "Risk Assessment Models to Improve Environmental Safety in the Field of the Economy and Organization of Construction: A Case Study of Russia," Sustainability, MDPI, vol. 13(24), pages 1-37, December.
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    Cited by:

    1. Huibing Cheng & Shanshui Zheng & Jianghong Feng, 2022. "A Fuzzy Multi-Criteria Method for Sustainable Ferry Operator Selection: A Case Study," Sustainability, MDPI, vol. 14(10), pages 1-22, May.

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