Analysis on Risk Features of International Engineering Projects Based on SVM Method

被引:0
|
作者
Yao, Di [1 ]
Zhan, Wei [1 ]
机构
[1] Univ Chinese Acad Sci, Sch Engn Sci, Beijing, Peoples R China
关键词
international engineering project; risk features; industry categories; classification; CNKI;
D O I
10.1109/iccar49639.2020.9108008
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
With the implementation of "The Belt and Road Initiative", Chinese companies have accumulated a lot of experience and academic researches after years of development. Compared with domestic ones, overseas projects are confronted with severer risks and challenges due to the complexity of their external environment. With considerable researches start with projects and focus on single projects or portfolio, seldom attention has been paid to overall risk features of international engineering contracting market. In this work, 73 cases of 8 industries are collected from CNKI to analyze risk features of different industries, with categories chosen based on "Annual Report on China International Project Contracting (2017-2018)". Firstly, a thorough identified risks list is established through literature review. Secondly, secondary risk factors of each project are counted as features stand for the industry it belongs. Then, SVM method is adopted here to train classifiers for distinguishing risk identities from each other. The existence of risk differences among industries is proved through accuracy. Finally, risk characteristics of transportation projects, electric power construction projects and others are analyzed to provide companies with advices on project risk management in their fields.
引用
收藏
页码:496 / 504
页数:9
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