Technical Papers
Sep 25, 2013

Modeling the Vulnerability of Waterway Networks

Publication: Journal of Waterway, Port, Coastal, and Ocean Engineering
Volume 140, Issue 4

Abstract

In some areas, rivers and canals interweave into a network, making inland waterway transportation feasible. Significant losses will occur if a vulnerable waterway (where vulnerability is defined in terms of susceptibility to interference and difficulty in restoring the initial state) that is vital to a network is blocked. System vulnerabilities combined with hazard factors trigger disasters; therefore, reducing the vulnerability of a network system is a useful means of reducing major losses. In this paper, a model to calculate vulnerability based on inherent characteristics of waterways such as channel connectivity, transportation efficiency, and economic cost is developed. Three influence factors—importance, efficiency contribution, and loss—are used to build a vulnerability assessment model in which the relative vulnerabilities of various waterways can be assessed and the most vulnerable waterway can be found. Using this model, a simple waterway network is tested to identify vulnerable waterways.

Get full access to this article

View all available purchase options and get full access to this article.

Acknowledgments

This work is supported by the National Science Foundation of China (NSFC) through Grant No. 51209166 and Science and Technology Project of Zhejiang Communications through Grant No. 2013W05.

References

Bell, M. G. H., Kanturska, U., Schmocker, J. D., and Fonzone, A. (2008). “Attacker defender models and road network vulnerability.” Philos. Trans. R. Soc. London, Ser. A, 366(1872), 1893–1906.
Bengtsson, J., and Tómasson, B. (2008). “Vulnerability and risk analysis of the road infrastructure in Reykjavik.” Project No. VR7RA, Vegagerðin, Reykjavík, Iceland.
Blaikie, P., Cannon, T., Davis, I., and Wisner, B. (1994). At risk: Natural hazards, people’s vulnerability, and disaster, Routledge, London.
Huang, M. C., Xie, J. C., and Ruan, B. Q. (2007). “Model for assessing water shortage risk based on support vector machine.” ShuiLi Xuebao, 38(3), 255–259 (in Chinese).
Inland Navigation Europe (INE). (2007). “Green logistics.” 〈http://www.inlandnavigation.org/nl/why-use-waterways/green-logistics_3.aspx#.UfQc1I3dheu〉 (Jul. 20, 2013).
Intergovernmental Panel on Climate Change (IPCC). (2001). IPCC third assessment report: Climate change 2001, Geneva.
Jenelius, E. (2010). “User inequity implications of road network vulnerability.” J. Transp. Land Use, 2(3–4), 57–73.
Latora, V., and Marchiori, M. (2001). “Efficient behavior of small-world networks.” Phys. Rev. Lett., 87(19), 198701.
Latora, V., and Marchiori, M. (2003). “Economic small-world behavior in weighted networks.” Eur. Phys. J. B, 32(2), 249–263.
Li, S. C., Wu, S. H., and Dai, E. F. (2005). “Assessing the fragility of ecosystem using artificial neural network model.” Acta Ecol. Sin., 25(3), 621–626.
Paavola, J. (2008). “Livelihoods, vulnerability and adaptation to climate change in Morogoro, Tanzania.” Environ. Sci. Policy, 11(7), 642–654.
Saaty, T. L. (1980). The analytic hierarchy process, McGraw Hill International, New York.
Shang, Y. R. (2000). “Vulnerability study: The new development of synthetized study on natural disasters.” Aerial Res. Dev., 19(2), 73–77 (in Chinese).
Tu, Y. F., Yang, C., and Chen, X. H. (2010). “Analysis of road network topology vulnerability and critical links.” J. Tongji Univ. (Nat. Sci.), 38(3), 364–367 (in Chinese).
van Ierland, E., Graveland, C., and Huiberts, R. (2000). “An environmental economic analysis of the new rail link to European main port Rotterdam.” Transp. Res. Part D, 5(3), 197–209.
Wei, Y.-M., Fang, Y., Lu, C., and Tsai, H.-T. (2004). “The assessment of vulnerability to natural disasters in China by using the DEA method.” Environ. Impact Assess. Rev., 24(4), 427–439.
Wilhelmi, O. V., and Wilhite, D. A. (2002). “Assessing vulnerability to agricultural drought: A Nebraska case study.” Nat. Hazards, 25(1), 37–58.
World Shipping Council (WSC). (2009). “The liner shipping industry and carbon emissions policy.” Washington, DC.
Yin, H. Y., and Xu, L.-Q. (2010). “A model for identifying vulnerable links of road networks based on Bayesian networks.” J. Syst. Manage., 19(6), 656–661 (in Chinese).
Zhu, J., and Zhang, W. (2009). “Calculation model of inland waterway transit capacity based on ship-following theory.” J. Traffic Transp. Eng., 9(5), 83–87.

Information & Authors

Information

Published In

Go to Journal of Waterway, Port, Coastal, and Ocean Engineering
Journal of Waterway, Port, Coastal, and Ocean Engineering
Volume 140Issue 4July 2014

History

Received: Mar 11, 2013
Accepted: Sep 23, 2013
Published online: Sep 25, 2013
Published in print: Jul 1, 2014
Discussion open until: Jul 26, 2014

Permissions

Request permissions for this article.

Authors

Affiliations

Ph.D. Student, Dept. of Earth Science, Uppsala Univ., Uppsala SE-75236, Sweden; formerly, Master's Student, School of Navigation, Wuhan Univ. of Technology, Wuhan 430063, China. E-mail: [email protected]
Yuanqiao Wen [email protected]
Professor, School of Navigation, Wuhan Univ. of Technology, Wuhan 430063, China; and Professor, Hubei Inland Shipping Technology Key Laboratory, Heping Rd., 1040# Wuhan 430063, China. E-mail: [email protected]
Chunhui Zhou [email protected]
Lecturer, School of Navigation, Wuhan Univ. of Technology, Wuhan 430063, China (corresponding author). E-mail: [email protected]
Changshi Xiao [email protected]
Professor, School of Navigation, Wuhan Univ. of Technology, Wuhan 430063, China. E-mail: [email protected]
Jinfeng Zhang [email protected]
Associate Professor, School of Navigation, Wuhan Univ. of Technology, Wuhan 430063, China. E-mail: [email protected]

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

Cited by

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share