Abstract
This paper examines common risk identification tools and techniques, risk classification methods, and common risks for construction projects. A systematic review and detailed content analysis of 130 selected articles from well-regarded and relevant academic journals published over the last three decades was conducted. The findings of the content analysis showed that the majority of the selected articles identified risks for construction projects—mainly infrastructure projects—in Asia and Europe, and in most cases the identified risks were either classified based on their nature or listed without any categorization. For identifying risks, combinations of different information-gathering techniques were predominantly used in the selected articles, whereas diagramming and analysis-based techniques were seldom used. The most frequently identified risks were unpredicted change of inflation rate; design errors and poor engineering; and changes in government laws, regulations, and policies affecting the project. This paper addresses the lack of a systematic review and content analysis of published articles related to risk identification, and it provides researchers and industry practitioners with data on the most common risks affecting construction projects.
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Data Availability Statement
All data generated or analyzed during the study are included in the published paper. Information about the Journal’s data-sharing policy can be found here: http://ascelibrary.org/doi/10.1061/(ASCE)CO.1943-7862.0001263.
Acknowledgments
This research is funded by the Natural Sciences and Engineering Research Council of Canada Industrial Research Chair in Strategic Construction Modeling and Delivery (NSERC IRCPJ 428226–15), which is held by Dr. A. Robinson Fayek.
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Journal of Construction Engineering and Management
Volume 145 • Issue 9 • September 2019
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©2019 American Society of Civil Engineers.
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Published online: Jun 27, 2019
Published in print: Sep 1, 2019
Discussion open until: Nov 27, 2019
ASCE Technical Topics:
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