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Risk Profiling from the European Statistics on Accidents at Work (ESAW) Accidents′ Databases: A Case Study in Construction Sites

Author

Listed:
  • Mara Lombardi

    (Department of Chemical Engineering Materials Environment (DICMA), Sapienza-University of Rome, via Eudossiana 18, 00184 Rome, Italy)

  • Mario Fargnoli

    (Department of Chemical Engineering Materials Environment (DICMA), Sapienza-University of Rome, via Eudossiana 18, 00184 Rome, Italy)

  • Giuseppe Parise

    (Department of Chemical Engineering Materials Environment (DICMA), Sapienza-University of Rome, via Eudossiana 18, 00184 Rome, Italy)

Abstract

The number of accidents and victims in the construction sector has not decreased significantly despite the increasingly stricter laws and regulations. The analysis of accidents, as well as their root causes and determinants can certainly contribute to the development of more effective preventive interventions. The present study proposes a methodology for the analysis and synthesis of data provided by accidents statistics with the goal of defining specific risk profiles based on the accidents determinants, their variables, and how they interact with one another in influencing the occurrence of an accident. For this purpose, a procedure capable of extracting this type of information from the European Statistics on Accidents at Work (ESAW) database was developed. In particular, data processing and aggregation are performed by means of the synergic use of the Matrix of Descriptors (MoD) and cluster analysis. To validate such a procedure, the analysis of fatalities due to electrical shocks was carried out. The results achieved allowed us to elicit valuable information for both safety managers and decision makers. The proposed methodology can facilitate a systemic analysis of accidents databases reducing the difficulties in managing reports and accident statistics.

Suggested Citation

  • Mara Lombardi & Mario Fargnoli & Giuseppe Parise, 2019. "Risk Profiling from the European Statistics on Accidents at Work (ESAW) Accidents′ Databases: A Case Study in Construction Sites," IJERPH, MDPI, vol. 16(23), pages 1-22, November.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:23:p:4748-:d:291411
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    References listed on IDEAS

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    Cited by:

    1. Qingwei Xu & Kaili Xu, 2021. "Analysis of the Characteristics of Fatal Accidents in the Construction Industry in China Based on Statistical Data," IJERPH, MDPI, vol. 18(4), pages 1-21, February.
    2. S M Jamil Uddin & Alex Albert & Abdullah Alsharef & Bhavana Pandit & Yashwardhan Patil & Chukwuma Nnaji, 2020. "Hazard Recognition Patterns Demonstrated by Construction Workers," IJERPH, MDPI, vol. 17(21), pages 1-14, October.
    3. María del Carmen Rey-Merchán & Jesús M. Gómez-de-Gabriel & Antonio López-Arquillos & Juan A. Fernández-Madrigal, 2021. "Virtual Fence System Based on IoT Paradigm to Prevent Occupational Accidents in the Construction Sector," IJERPH, MDPI, vol. 18(13), pages 1-17, June.
    4. Larisa Ivascu & Muddassar Sarfraz & Muhammad Mohsin & Sobia Naseem & Ilknur Ozturk, 2021. "The Causes of Occupational Accidents and Injuries in Romanian Firms: An Application of the Johansen Cointegration and Granger Causality Test," IJERPH, MDPI, vol. 18(14), pages 1-17, July.

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