Chapter
Nov 9, 2020
Construction Research Congress 2020

Development of Rating Criteria for Resilience Performance of Transportation Project Delivery: A PCA-Based Approach

Publication: Construction Research Congress 2020: Project Management and Controls, Materials, and Contracts

ABSTRACT

Resilience has been widely studied for evaluating existing transportation infrastructure conditions by focusing on the loss of function due to an adverse event followed by the amount of function that can eventually be recovered. Beyond existing infrastructure, the research regarding resilience over the project delivery processes is lacking. This study develops a set of resilience factors that evaluates and synthesizes the various aspects of resilience over different project phases for transportation project delivery. The rating factors are identified from the literature and validated by a survey questionnaire with industry experts. The survey response data are analyzed using the principal component analysis (PCA) approach, which extracts seven underlying components (primary evaluation criteria) from the identified resilience factors. The components provide valuable insight concerning how the industry experts perceive the importance of different resilience criteria. The findings from this study can guide practitioners to recognize the necessity of resilience for transportation project delivery and lay the foundations for developing a resilience rating tool in future research.

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Published In

Go to Construction Research Congress 2020
Construction Research Congress 2020: Project Management and Controls, Materials, and Contracts
Pages: 1139 - 1148
Editors: David Grau, Ph.D., Arizona State University, Pingbo Tang, Ph.D., Arizona State University, and Mounir El Asmar, Ph.D., Arizona State University
ISBN (Online): 978-0-7844-8288-9

History

Published online: Nov 9, 2020
Published in print: Nov 9, 2020

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Authors

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Dept. of Civil, Construction, and Environmental Engineering, Univ. of New Mexico, Albuquerque. E-mail: [email protected]
Susan M. Bogus [email protected]
Dept. of Civil, Construction, and Environmental Engineering, Univ. of New Mexico, Albuquerque. E-mail: [email protected]
Earth Data Analysis Center, Univ. of New Mexico, Albuquerque, NM. E-mail: [email protected]

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