共 26 条
Predicting the Impact of Country-Related Risks on Cost Overrun for Overseas Infrastructure Projects
被引:9
|作者:
Zhu, Fengfeng
[1
,2
]
Hu, Hao
[2
,3
]
Xu, Feng
[1
,2
]
Tang, Ning
[1
,2
]
机构:
[1] Shanghai Jiao Tong Univ, Dept Civil Engn, Sch Naval Architecture Ocean & Civil Engn, 800 Dongchuan Rd, Shanghai 200240, Peoples R China
[2] Shanghai Jiao Tong Univ, State Key Lab Ocean Engn, 800 Dongchuan Rd, Shanghai 200240, Peoples R China
[3] Shanghai Jiao Tong Univ, Dept Transportat Engn, Sch Naval Architecture Ocean & Civil Engn, 800 Dongchuan Rd, Shanghai 200240, Peoples R China
关键词:
Overseas infrastructure projects;
Cost overrun;
Country risk;
Case-based reasoning;
Grey relational analysis;
INTERNATIONAL CONSTRUCTION PROJECTS;
POLITICAL RISKS;
MODEL;
PERFORMANCE;
TOOL;
ADAPTATION;
MANAGEMENT;
DESIGN;
SYSTEM;
D O I:
10.1061/(ASCE)CO.1943-7862.0001959
中图分类号:
TU [建筑科学];
学科分类号:
0813 ;
摘要:
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.
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页数:11
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