Identification and Prioritization of Critical Transportation Infrastructure: Case Study of Coastal Flooding
Publication: Journal of Transportation Engineering
Volume 141, Issue 3
Abstract
In order to better inform transportation decision makers of the criticality of transportation infrastructure, this paper explores an accessibility-based criticality prioritization methodology to identify and prioritize critical transportation infrastructure. In particular, the methodology evaluates the network-wide impacts of infrastructure degradation based on the increase in travel cost taking origin importance, destination attractiveness, and traffic congestion into account. The methodology is applied to the road network of Hillsborough County, Florida, threatened by flood risk from storm surge, sea-level rise, and intense precipitation. Light detection and ranging digital elevation data, transportation infrastructure and network data, and zone-based population data of the county are processed for analysis. The approach yields results of not only the criticality of transportation infrastructure under flooding impact but also the most vulnerable zones as a result of infrastructure inundation. The results show that some infrastructure is critical to adjacent areas, while some becomes important to a much broader region. The results further demonstrate that the infrastructure is more critical if it serves more people.
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Acknowledgments
The writers would like to thank the NOAA for the financial support for the research reported in this paper (SI20120010). This paper is also financially supported by the National Natural Science Foundation of China (51408356). The support of the Key Laboratory of Road and Traffic Engineering of the Ministry of Education at Tongji University (K201209) is also appreciated. The writers want to give their thanks to the two anonymous reviewers for their two rounds of extensive comments and input on the paper.
References
ArcGIS version 9.2 [Computer software]. Redlands, CA, Environmental Systems Research Institute.
Bremmer, D., et al. (2004). “Measuring congestion: Learning from operational data.”, Transportation Research Board, Washington, DC, 188–196.
Chang, S. E., and Nojima, N. (2001). “Measuring post-disaster transportation system performance: The 1995 Kobe earthquake in comparative perspective.” Transp. Res. Part A, 35(6), 475–494.
Chen, Y., et al. (2011). “Development of indicators of opportunity-based accessibility.”, Transportation Research Board, Washington, DC, 58–68.
Croope, S. V., and McNeil, S. (2011). “Improving resilience of critical infrastructure systems postdisaster recovery and mitigation.”, Transportation Research Board, Washington, DC, 3–13.
Cube version 5.3 [Computer software]. Lafayette, CA, Citilabs.
Dheenadayalu, Y., et al. (2004). “Analysis of link capacity estimation methods for urban planning models.” J. Transp. Eng., 568–575.
Farhan, J., and Fwa, T. F. (2011). “Use of analytic hierarchy process to prioritize network-level maintenance of pavement segments with multiple distresses.”, Transportation Research Board, Washington, DC, 11–20.
Federal Highway Administration (FHWA). (2010). “Federal highway administration surface transportation environment and planning cooperative research program successful study: The gulf coast study.” 〈http://www.fhwa.dot.gov/hep/step/resources/archives/success_gcs.pdf〉 (Sep. 10, 2014).
Florida DOT. (2011). “2060 Florida transportation plan.” 〈http://www.2060ftp.org/images/uploads/home/2060FTPlanbook7%2004152011.pdf〉 (Sep. 10, 2014).
Hansen, W. G. (1959). “How accessibility shapes land use.” J. Am. Plann., 25(2), 73–76.
Lambert, J. H., et al. (2013). “Climate change influence to priority setting for transportation infrastructure assets.” J. Infrastruct. Syst., 19(1), 36–46.
Litman, T. (2012). “Evaluating accessibility for transportation planning.” 〈http://www.vtpi.org/access.pdf〉 (Sep. 10, 2014).
Lou, Y., and Zhang, L. (2011). “Defending transportation networks against random and targeted attacks.”, Transportation Research Board, Washington, DC, 31–40.
Lu, Q.-C., and Peng, Z.-R. (2011). “Vulnerability analysis of transportation network under scenarios of sea-level rise.”, Transportation Research Board, Washington, DC, 174–181.
Lu, Q.-C., and Peng, Z.-R. (2012). “Economic analysis of sea-level rise impacts and adaptation strategies in transportation.”, Transportation Research Board, Washington, DC, 54–61.
Matlab version 8.0 [Computer software]. Natick, MA, MathWorks.
Morris, J. M., et al. (1979). “Accessibility indicators for transport planning.” Transp. Res. Part A, 13(2), 91–109.
National Consortium on Remote Sensing in Transportation. (2002). Spatial information technologies in critical infrastructure protection: A research agenda in CIP, Washington, DC.
Powell, R. (2007). “Defending against terrorist attacks with limited resources.” Am. Political Sci. Rev., 101(3), 527–541.
Rosenzweig, C., et al. (2011). “Developing coastal adaptation to climate change in the New York City infrastructure-shed: Process, approach, tools, and strategies.” Clim. Change, 106(1), 93–127.
Science Applications International Corporation. (2002). A guide to highway vulnerability assessment for critical asset identification and protection, Vienna, VA.
Science Applications International Corporation and Parsons Brinckerhoff Consult. (2009). “Costing asset protection: An all hazards guide for transportation agencies (CAPTA).”, Vienna, VA.
Scott, D. M., et al. (2006). “Network robustness index: A new method for identifying critical links and evaluating the performance of transportation networks.” J. Transp. Geogr., 14(3), 215–227.
Seyedshohadaie, S. R., et al. (2010). “Risk-based maintenance and rehabilitation decisions for transportation infrastructure networks.” Transp. Res. Part A, 44(4), 236–248.
Shiomi, Y., et al. (2011). “Model for location of medical facility and evaluation of vulnerability and accessibility of road network.”, Transportation Research Board, Washington, DC, 41–48.
Sohn, J. (2006). “Evaluating the significance of highway network links under the flood damage: An accessibility approach.” Transp. Res. Part A, 40(6), 491–506.
Sullivan, J. L., et al. (2010). “Identifying critical road segments and measuring system-wide robustness in transportation networks with isolating links.” Transp. Res. Part A, 44(5), 323–336.
Taylor, M. A. P., et al. (2006). “Application of accessibility based methods for vulnerability analysis of strategic road networks.” Network Spatial Econ., 6(3–4), 267–291.
Taylor, M. A. P. (2008). “Critical transport infrastructure in urban areas: Impacts of traffic incidents assessed using accessibility-based network vulnerability analysis.” Growth Change, 39(4), 593–616.
Taylor, M. A. P., and Susilawati, S. (2012). “Remoteness and accessibility in the vulnerability analysis of regional road networks.” Transp. Res. Part A, 46(5), 761–771.
Transportation Research Board (TRB). (2008). “Potential impacts of climate change on U.S. transportation.” Special Rep. 290, Washington, DC.
Trucco, P., et al. (2012). “Dynamic functional modeling of vulnerability and interoperability of critical infrastructure.” Reliab. Eng. Syst. Saf., 105(9), 51–63.
Ukkusuri, S. V., and Yushimito, W. F. (2009). “A methodology to assess the criticality of highway transportation networks.” J. Transp. Secur., 2(1–2), 29–46.
U.S. Department of Homeland Security (USDHS). (2007). The national strategy for homeland security, Washington, DC.
U.S. Department of Homeland Security (USDHS). (2009). National infrastructure protection plan, Washington, DC.
Walton, T. L. (2006). “Projected sea level rise in Florida.” Ocean Eng., 34(13), 1832–1840.
Wardekker, J. A., et al. (2010). “Operationalising a resilience approach to adapting and urban delta to uncertain climate changes.” Technol. Forecast. Social Change, 77(6), 987–998.
Information & Authors
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Published In
Journal of Transportation Engineering
Volume 141 • Issue 3 • March 2015
Copyright
© 2014 American Society of Civil Engineers.
History
Received: Feb 13, 2013
Accepted: Sep 2, 2014
Published online: Oct 6, 2014
Published in print: Mar 1, 2015
Discussion open until: Mar 6, 2015
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