| contributor author | Paul Govan | |
| contributor author | Ivan Damnjanovic | |
| date accessioned | 2022-01-30T19:10:38Z | |
| date available | 2022-01-30T19:10:38Z | |
| date issued | 2020 | |
| identifier other | AJRUA6.0001041.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4264795 | |
| description abstract | Risk 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. | |
| publisher | ASCE | |
| title | Structural Network Measures for Risk Assessment of Construction Projects | |
| type | Journal Paper | |
| journal volume | 6 | |
| journal issue | 1 | |
| journal title | ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering | |
| identifier doi | 10.1061/AJRUA6.0001041 | |
| page | 04019024 | |
| tree | ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2020:;Volume ( 006 ):;issue: 001 | |
| contenttype | Fulltext | |