contributor author | Fengfeng Zhu | |
contributor author | Hao Hu | |
contributor author | Feng Xu | |
contributor author | Ning Tang | |
date accessioned | 2022-01-30T22:49:25Z | |
date available | 2022-01-30T22:49:25Z | |
date issued | 2/1/2021 | |
identifier other | (ASCE)CO.1943-7862.0001959.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4269685 | |
description abstract | Given the complexity of overseas infrastructure projects (OIPs), difficulty in managing country-related risks commonly causes cost overruns. Thus, there is a pressing need for proactively predicting the impact of country-related risks to enable reasonable decision making in the early proposal stage. Different from the previous studies that heavily relied on a large number of sample points, this research proposes a case-based reasoning (CBR) method capable of reliably predicting the impact of country-related risks on cost overruns for OIPs from a small size of sample points. Grey relational analysis (GRA) is applied twice to address the challenges associated with many variables. Finally, a case study is conducted to validate the reliability of the proposed method. Importantly, this research includes a structured process to develop CBR methods for prediction tailored to different construction companies, hence increasing the adaptability. | |
publisher | ASCE | |
title | Predicting the Impact of Country-Related Risks on Cost Overrun for Overseas Infrastructure Projects | |
type | Journal Paper | |
journal volume | 147 | |
journal issue | 2 | |
journal title | Journal of Construction Engineering and Management | |
identifier doi | 10.1061/(ASCE)CO.1943-7862.0001959 | |
journal fristpage | 04020166 | |
journal lastpage | 04020166-11 | |
page | 11 | |
tree | Journal of Construction Engineering and Management:;2021:;Volume ( 147 ):;issue: 002 | |
contenttype | Fulltext | |