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International Conference on Computational Science and Its Applications

ICCSA 2018: Computational Science and Its Applications – ICCSA 2018 pp 75–86Cite as

ALARP Approach for Risk Assessment of Civil Engineering Projects

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10964))

Abstract

Risk assessment is essential to express judgments of economic convenience on investment initiatives. This certainly applies to civil engineering projects, where the risk components are not only economic, but also environmental, social and cultural. Thus, the aim of the paper is to delineate a risk analysis model in the economic evaluation of investments through the development of algorithms where the Cost-Benefit Analysis (CBA) logic is integrated with the ALARP principle. The latter provides operative tools ensuring that risk is tolerable if it is “As Low As Reasonably Practicable”. The study shows that the ALARP logic, widely applied in sectors such as nuclear, energy and oil & gas, but less implemented in civil engineering, can instead become an important investigative tool if used jointly with the CBA precisely in the evaluation economic of civil projects, contributing to the characterization of efficient forecast protocols.

In the first paragraph of the paper, the steps necessary to manage the risk connected to a project initiative are described and the ALARP logic is analysed. The second paragraph presents the risk analysis approaches traditionally used in the economic evaluation of projects. In the third section the logical scheme of an innovative protocol for the management of project risk is defined, by integrating the ALARP principles in the procedural scheme of the CBA. In conclusion, prospects for future research are outlined.

The contribution to this paper is the result of the joint work of the four authors, to which the paper has to be attributed in equal parts.

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Author information

Authors and Affiliations

  1. Department of Civil Engineering, University of Salerno, Fisciano, SA, Italy

    Gianluigi De Mare, Antonio Nesticò & Gabriella Maselli

  2. Megaris Ltd, Reading, UK

    Renato Benintendi

Authors
  1. Gianluigi De Mare
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  2. Antonio Nesticò
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  3. Renato Benintendi
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  4. Gabriella Maselli
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Corresponding author

Correspondence to Antonio Nesticò .

Editor information

Editors and Affiliations

  1. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. University of Basilicata, Potenza, Italy

    Beniamino Murgante

  3. Covenant University, Ota, Nigeria

    Sanjay Misra

  4. Saint Petersburg State University, Saint Petersburg, Russia

    Elena Stankova

  5. Polytechnic University of Bari, Bari, Italy

    Carmelo M. Torre

  6. University of Minho, Braga, Portugal

    Ana Maria A.C. Rocha

  7. Monash University, Clayton, Victoria, Australia

    David Taniar

  8. Kyushu Sangyo University, Fukuoka shi, Fukuoka, Japan

    Bernady O. Apduhan

  9. Politecnico di Bari, Bari, Italy

    Eufemia Tarantino

  10. Myongji University, Yongin, Korea (Republic of)

    Yeonseung Ryu

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De Mare, G., Nesticò, A., Benintendi, R., Maselli, G. (2018). ALARP Approach for Risk Assessment of Civil Engineering Projects. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2018. ICCSA 2018. Lecture Notes in Computer Science(), vol 10964. Springer, Cham. https://doi.org/10.1007/978-3-319-95174-4_6

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  • DOI: https://doi.org/10.1007/978-3-319-95174-4_6

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-95173-7

  • Online ISBN: 978-3-319-95174-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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