Risk assessment of additional works in railway construction investments using the Bayes network
Authors:
- Agnieszka Leśniak,
- Filip Janowiec
Abstract
The implementation of railway infrastructure construction projects including sustainable development goals is a complex process characterized by a significant extension of individual investment stages. The need for additional works has a big impact on construction railway projects, representing a risk which is the result of many different factors. During the execution of works, both the design assumptions and the conditions of the project’s implementation can be changed. An attempt to eliminate potential risks is a key element of construction projects. The article proposes a proprietary management method for the risk of additional works in railway projects. A methodology for creating risk management strategies using a standard algorithm that includes risk identification, risk analysis, and risk assessment is presented. The original elements of the work include risk identification followed by analysis using Bayesian networks. Using the example of a scenario of events, it is shown that a well-programmed network can be used to implement risk mitigation methods. Using the network, it is possible to compare different ways to reduce risk, check the effect of reducing the risk factors, and determine a satisfactory level of effects, e.g., increased financial resources as a result of additional works.
- Record ID
- CUTab211369ba89488996e738f620d8e16d
- Publication categories
- ;
- Author
- Journal series
- Sustainability, ISSN , e-ISSN 2071-1050, Biweekly
- Issue year
- 2019
- Vol
- 11
- No
- 19
- Pages
- 1-15
- Article number
- 5388
- Other elements of collation
- schem.; tab.; Bibliografia (na s.) - 13-15; Bibliografia (liczba pozycji) - 44; Oznaczenie streszczenia - Abstr.; Numeracja w czasopiśmie - Vol. 11, Iss. 19, z. spec.
- Substantive notes
- Tyt. zesz. spec.: Sustainability and Risks in Construction Management
- Keywords in English
- railway construction projects, risk management, additional works, Bayesian networks
- DOI
- DOI:10.3390/su11195388 Opening in a new tab
- URL
- https://www.mdpi.com/2071-1050/11/19/5388 Opening in a new tab
- Language
- eng (en) English
- License
- Score (nominal)
- 100
- Additional fields
- Indeksowana w: Web of Science, Scopus
- Uniform Resource Identifier
- https://cris.pk.edu.pl/info/article/CUTab211369ba89488996e738f620d8e16d/
- URN
urn:pkr-prod:CUTab211369ba89488996e738f620d8e16d
* presented citation count is obtained through Internet information analysis, and it is close to the number calculated by the Publish or PerishOpening in a new tab system.