Understanding of Risky Determinants Affecting the Success of Design-Build Airport Projects Using Computational Clustering Techniques-Reference-Cited by-同舟云学术

Understanding of Risky Determinants Affecting the Success of Design-Build Airport Projects Using Computational Clustering Techniques

Published:2024-01-25 Issue: Volume:1 Page:539-546
ISSN:
Container-title:Computing in Civil Engineering 2023
language:
Short-container-title:

Author:

Khalef Ramy¹²,El-adaway Islam¹²

Affiliation:

1. Ph.D. Candidate, Dept. of Civil, Architectural, and Environmental Engineering, Missouri Univ. of Science and Technology, Rolla, MO.

2. Hard Hurst-McCarthy Professor of Construction Engineering and Management, Professor of Civil Engineering, and Founding Director of Missouri Consortium of Construction Innovation, Dept. of Civil, Architectural, and Environmental Engineering and Dept. of Engineering Management and Systems Engineering, Missouri Univ. of Science and Technology, Rolla, MO. ORCID: .

Publisher

American Society of Civil Engineers

Link

https://ascelibrary.org/doi/pdf/10.1061/9780784485224.065

Reference25 articles.

1. Evaluating Deterioration of Tunnels Using Computational Machine Learning Algorithms

2. ASCE. (2021).“ASCE’s 2021 American infrastructure report card: GPA: C-.” Accessed March 22 2021. https://infrastructurereportcard.org/.

3. Bowler T. (2016 October 25). Heathrow expansion: How the cost of delays stacks up. BBC News. Retrieved January 7 2023 from https://www.bbc.com/news/business-37575698.

4. BTS (Bureau of Transportation Statistics). (2019a). “Passengers: All carriers—All airports.” Accessed March 22 2021. https://www.transtats.bts.gov/Data_Elements.aspx?Data=1.

5. BTS (Bureau of Transportation Statistics). (2019b). “November 2020 regularly scheduled flights with more than 50% delayed arrivals of more than 30 minutes.” Accessed March 22 2021. https://www.bts.gov/november-2020-regularly-scheduled-flights-more-50-delayed-arrivals-more-30-minutes.