Freight Resilience Measures
Publication: Journal of Transportation Engineering
Volume 138, Issue 11
Abstract
People, industries, and public agencies all face the possibility of sudden events that disrupt their normal activities. Disasters on the transportation network, whether attributable to nature, human error, or human intent, raise awareness of the need for plans of action to quickly restore mobility. Resilience of the transportation network is the capacity to absorb the effects of a disruption and to quickly return to normal operating levels. Resilience measures are useful to evaluate and predict disruptions and recovery and to guide infrastructure investments that protect against those disruptions or that accelerate recovery after a disruption. This paper presents a methodology for estimating two composite resilience measures—reduction and recovery. The method is illustrated by using resilience triangles derived from sampled truck speeds and counts along the Interstate corridor from Hudson to Beloit, Wisconsin during two significant weather events in 2008. This paper presents a set of criteria, on the basis of observed effects on various sections of the highway corridor, to qualify the computed resilience measures. In this paper, the focus is on generalizing the characteristics of the resilience response rather than characteristics of the corridor sections that lead to patterns of the response for each section. The criteria and the measures together are a useful tool to evaluate resilience.
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Acknowledgments
This research has been funded by the National Center for Freight and Infrastructure Research and Education. Also, the authors gratefully acknowledge ATRI for providing the data that form the basis for this paper.
References
Bruneau, M. et al. (2003). “A framework to quantitatively assess and enhance the seismic resilience of communities.” Earthquake Spectra, 19(4), 733–752.
Caplice, C., Rice, J. B. Jr., Ivanov, B., and Stratton, E. (2008). Development of a statewide freight system resiliency plan, Massachusetts Institute of Technology’s Center for Transportation and Logistics for Washington State Dept. of Transportation, Cambridge, MA.
ESRI. (2012). “Understanding our World.” 〈http://www.esri.com/software/arcgis〉 (Aug. 6, 2012).
Federal Highway Administration. (2006). Freight performance measurement: Travel time in freight-significant corridors, U.S. Dept. of Transportation, Washington, DC.
Goodchild, A. et al. (2009a). Development and analysis of a GIS-based statewide freight data flow network, Washington State Transportation Center, 〈http://www.wsdot.wa.gov/Research/Reports/700/730.1.htm〉 (Jul. 2010).
Goodchild, A., and Andreoli, D. (2009b). Washington state freight system resiliency, Prepared for Washington State Dept. of Transportation, Univ. of Washington, Seattle.
Gunderson, L. H., and Pritchard, L. (2002). Resilience and the behavior of large scale ecosystems, SCOPE Vol., Island, Washington, DC.
Jones, M., and Garza, J. (2008). “Ground to a halt.” Journal Sentinel, 〈http://www.jsonline.com/news/wisconsin/29435019.html〉 (Apr. 2010).
McCormack, E., and Hallenbeck, M. E. (2006). “ITS devices used to collect truck data for performance benchmarks.” Transp. Res. Rec.: J. Transp. Res. Board, 1957(1), 43–50.
Microsoft Corp. (2012). “Programming resources for Visual Basic for Applications.” 〈http://support.microsoft.com/kb/163435〉 (Aug. 6, 2012).
“Midwestern Flooding.” (2011). Donors forum of Wisconsin, 〈http://www.dfwonline.org/page10000585.cfm〉 (Oct. 2011).
Murray-Tuite, P. (2006). “A comparison of transportation network resilience under simulated system optimum and user equilibrium conditions.” IEEE Proc., 2006 Winter Simulation Conf, Monterey, CA.
Ortiz, D. S., Ecola, L., and Willis, H. H. (2009). Freight transportation resilience: How a system-wide perspective can help MPOs and DOT, Task 73, Transportation Research Board of the National Academies, Washington, DC.
Rose, A. (2004). “Defining and measuring economic resilience to earthquakes.” Disaster Prev. Manage., 13(4), 307–314.
Sheffi, Y., and Rice, James B. Jr. (2005). “A supply chain view of the resilient enterprise.” Massachusetts Institute of Technology Sloan Management Review (MIT SMR), Massachusetts Institute of Technology, Cambridge, MA, Reprint 47110, 41–48.
“State Patrol Closing I-90/94 Southbound at Mauston.” (2008). WorldNow and QueenB Television, LLC (WKBT), 〈http://www.wkbt.com/global/story.asp?S=8485317〉 (Mar. 2010).
“Stranded on I-90.” (2008). Gray Television, Inc. (WMTV), 〈http://www.nbc15.com/home/headlines/15381096.html〉 (Apr. 2010).
Tierney, K., and Bruneau, M. (2007). “Conceptualizing and measuring resilience.” Transp. Res. News, 14–17.
U.S. Dept. of Homeland Security. (2007). Transportation systems: Critical infrastructure and key resources sector-specific plan as input to the National Infrastructure Protection Plan, 〈http://www.dhs.gov/xlibrary/assets/nipp-ssp-transportation.pdf〉 (Jul. 2010).
Wisconsin Dept. of Transportation. (2008). Annual winter maintenance report, Bureau of Highway Operations Winter Operations Unit, Madison, WI.
Information & Authors
Information
Published In
Journal of Transportation Engineering
Volume 138 • Issue 11 • November 2012
Pages: 1403 - 1409
Copyright
© 2012 American Society of Civil Engineers.
History
Received: Jul 19, 2011
Accepted: Feb 9, 2012
Published online: Oct 15, 2012
Published in print: Nov 1, 2012
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