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dc.contributor.authorPaul Govan
dc.contributor.authorIvan Damnjanovic
dc.date.accessioned2022-01-30T19:10:38Z
dc.date.available2022-01-30T19:10:38Z
dc.date.issued2020
dc.identifier.otherAJRUA6.0001041.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4264795
dc.description.abstractRisk assessment is an integral part of project management; however, its implementation is often challenging. One of the key challenges is how to collect reliable data for modeling risks. The objective of this paper is to introduce a network-based approach for risk assessment when data is limited or unreliable. The proposed structural network measures focus on relative connectivity of project tasks, resources, and risk events; or in other words, the data that are typically available from project planning and considered more reliable. The central concept is built upon the method called resource-based project risk management, which involves the identification and assessment of risks in terms of resource impacts and the subsequent effects on duration and/or cost of project tasks. The proposed methodology is illustrated using case study data.
dc.publisherASCE
dc.titleStructural Network Measures for Risk Assessment of Construction Projects
dc.typeJournal Paper
dc.journal.volume6
dc.journal.issue1
dc.journal.titleASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
dc.identifier.doi10.1061/AJRUA6.0001041
dc.page04019024
dc.treeASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2020:;Volume ( 006 ):;issue: 001
dc.contenttypeFulltext


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