EconPapers    
Economics at your fingertips  
 

Optimal recovery sequencing for enhanced resilience and service restoration in transportation networks

Eric D. Vugrin, Mark A. Turnquist and Nathanael J.K. Brown

International Journal of Critical Infrastructures, 2014, vol. 10, issue 3/4, 218-246

Abstract: Critical infrastructure resilience has become a national priority for the US Department of Homeland Security. Rapid and efficient restoration of service in damaged transportation networks is a key area of focus. The intent of this paper is to formulate a bi-level optimisation model for network recovery and to demonstrate a solution approach for that optimisation model. The lower-level problem involves solving for network flows, while the upper-level problem identifies the optimal recovery modes and sequences, using tools from the literature on multi-mode project scheduling problems. Application and advantages of this method are demonstrated through two examples.

Keywords: infrastructure resilience; optimisation; transport networks; multi-mode project scheduling; recovery sequencing; service restoration; critical infrastructures; network recovery; transport services. (search for similar items in EconPapers)
Date: 2014
References: Add references at CitEc
Citations: View citations in EconPapers (24)

Downloads: (external link)
http://www.inderscience.com/link.php?id=66356 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijcist:v:10:y:2014:i:3/4:p:218-246

Access Statistics for this article

More articles in International Journal of Critical Infrastructures from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().

 
Page updated 2025-03-19
Handle: RePEc:ids:ijcist:v:10:y:2014:i:3/4:p:218-246