Title

Minimizing Construction-Related Security Risks During Airport Expansion Projects

Keywords

Airport construction; Construction management; Evolutionary computation; Optimization; Risk management; Security; Site evaluation; Site preparation, construction

Abstract

Airport expansion projects often require the presence of construction personnel, material, and equipment near airport secure areas/facilities, leading to an increase in the level of risk to airport security. Construction planners and airport operators need to carefully study this challenge and implement active measures in order to minimize construction-related security breaches and comply with all relevant Federal Aviation Administration guidelines. This paper presents the development of an advanced multiobjective optimization model for planning airport construction site layouts that is capable of minimizing construction-related security breaches while simultaneously minimizing site layout costs. The model incorporates newly developed criteria and performance metrics that enable evaluating and maximizing the construction-related security level in operating airports. The model is developed using a multiobjective genetic algorithm, and an application example is analyzed to demonstrate the use of the model and its unique capability of generating a wide spectrum of optimal trade-offs between construction-related airport security and site layout costs. © 2008 ASCE.

Publication Date

1-1-2008

Publication Title

Journal of Construction Engineering and Management

Volume

134

Issue

1

Number of Pages

https://v2.sherpa.ac.uk/id/publication/11547;Accepted Version;Any Repository; Institutional Repository; Named Academic Social Network;No Embargo;;;Must link to publisher version at ASCE Civil Engineering Database (http://cedb.asce.org); Publisher copyright and source must be acknowledged; Set statement to accompany deposit (see policy)-

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1061/(ASCE)0733-9364(2008)134:1(40)

Socpus ID

37249037472 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/37249037472

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