Technical Papers
Nov 10, 2021

Maritime Transport Efficiency to Inform Demand-Driven User Fees for Harbor Infrastructure

Publication: Journal of Waterway, Port, Coastal, and Ocean Engineering
Volume 148, Issue 1

Abstract

A dredging backlog in American harbors has produced inefficiencies, delays, and lost revenues for waterway-based logistics and trade. Policymakers have called for increased spending to address maintenance concerns that underscores the need to improve the allocation of public funds or innovate on alternative financing mechanisms. The cost of dredging in the United States has increased more than 250% since 1990 which calls into question the sustainability of current practices. Given that the objective of dredging is to facilitate waterways transport, this study investigated the tradeoffs between transportation cost savings and maintenance spending in the Great Lakes. We use Monte Carlo simulations to calculate Maritime Transport Efficiencies (MTE) as mass per time for bulk iron ore vessels, the predominant vessels on the Great Lakes waterway. Transportation costs, assessed over a range of uncertain demand and fuel pricing, are predicted from natural variations in water surface elevation. Estimates of MTE applied to predict transportation costs are useful in determining annual demand levels for dredging when considered in aggregate, suggesting an opportunity for market-driven funding models for harbor maintenance. Cost savings are evident under conditions such as high-water levels or reduced demand. Increased transportation costs, predicted using MTE, are compared to dredging expenditure. Considering dredging and operating costs together reveals total cost savings. This study produces a quantitative understanding of demand-driven harbor needs which may lead to market-based funding decisions.

Get full access to this article

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

Data Availability Statement

Some or all data, models, or code generated or used during the study are available in a repository online in accordance with funder data retention policies (Sugrue 2020).

References

AAPA (American Association of Port Authorities). 2020. “America: Keep It Moving.” Accessed August 18, 2020. http://aapa-ports.org/movingamerica.
Ahadi, K., K. M. Sullivan, and K. N. Mitchell. 2018. “Budgeting maintenance dredging projects under uncertainty to improve the inland waterway network performance.” Transp. Res. Part E Logist. Transp. Rev. 119: 63–87. https://doi.org/10.1016/j.tre.2018.08.013.
ASCE. 2016. Alternative financing and delivery of waterways infrastructure. Interim Findings Report. Reston, VA: ASCE.
ASCE. 2017. America’s 2017 infrastructure report card. Infrastructure Report Card. Reston, VA: ASCE.
ASCE. 2021. America’s 2021 infrastructure report card. Infrastructure Report Card. Reston, VA: ASCE.
Balci, O., and R. G. Sargent. 1984. “Validation of simulation models via simultaneous confidence intervals.” Am. J. Math. Manag. Sci 4: 375–406. https://doi.org/10.1080/01966324.1984.10737151.
Bolen, J. 2017. “Historical operating cost comparison for North American iron and steelmaking routes.” Warrendale, PA: Association for Iron and Steel Technology. http://digital.library.aist.org/categories/2017aistechconferenceproceedings-pr.htm.
Carter, N. T. 2018. Army Corps of Engineers annual and supplemental appropriations: Issues for congress. No. R45326. Washington, DC: Congressional Research Service.
Carter, N. T., and A. E. Normand. 2019. Army Corps of Engineers: FY2020 appropriations. CRS No. IF11137. Washington, DC: Congressional Research Service.
Clites, A. H., and D. H. Lee. 1998. A coordinated hydrologic response model for the middle Great Lakes. Technical Memorandum No. ERL GLERL-109. Ann Arbor, MI: GLERL.
Cohen, B., G. Collins, D. Escude, S. Garbaciak, K. Hassan, D. Lawton, L. Perk, R. Simoneaux, P. Spadaro, and M. Newman. 2011. “Evaluating alternatives to improve dredging efficiency and cost-effectiveness for inland marsh restoration projects.” In Presented at the Western Dredging Association (WEDA XXXI) Technical Conf. and Texas A&M University (TAMU 42) Dredging Seminar. 169–177. Vancouver, WA: Western Dredging Association.
Committee on Reinvesting in Inland Waterways, Marine Board, Policy Studies, Transportation Research Board, National Academies of Sciences, Engineering, and Medicine. 2015. Funding and managing the U.S. inland waterways system: What policy makers need to know. Washington, DC: Transportation Research Board.
Coordinating Committee on Great Lakes Basic Hydraulic and Hydrologic Data. 1992. IGLD 1985: Brochure on the International Great Lakes Datum 1985. Accessed February 15, 2020. http://www.greatlakescc.org/wp36/home-2/publications/.
Frittelli, J. 2011. Harbor maintenance trust fund expenditures. CRS No. R41042. Washington, DC: Congressional Research Service.
Frittelli, J. 2019. Harbor dredging: Issues and historical funding. No. IN111333. Washington, DC: Congressional Research Service.
Frittelli, J., and N. T. Carter. 2020. Distribution of harbor maintenance trust fund expenditures. CRS In Focus No. IF11645. Washington, DC: Congressional Research Service.
Fry, L. M., D. Apps, and A. D. Gronewold. 2020. “Operational seasonal water supply and water level forecasting for the Laurentian great lakes.” J. Water Resour. Plann. Manage. 146: 04020072. https://doi.org/10.1061/(ASCE)WR.1943-5452.0001214.
GATX Corporation. 2020. GATX annual report 2019. Annual Report Pursuant to Section 13 or 15(d) of the Securities Exchange Act of 1934. Chicago: GATX Corporation.
Greenwood, J. O. 2016. Greenwood’s guide to Great Lakes shipping. Boyne City, MI: Harbor House Publishers.
Grier, D., J. Hawnn, J. Lane, and S. Patel. 2005. “Harbor maintenance trust fund.” Transp. Res. Rec. J. Transp. Res. Board. 1909: 54–61. https://doi.org/10.3141/1909-08.
Hackett, B., and J. Keifer. 1998. Evaluation of international dredging financing practices. No. IWR Rep. 98-R-7. Arlington, VA: Columbus Group.
Horn, K., E. Wilson, K. Knight, and S. Durden. 2010. Manual for deep draft navigation. National Economic Development No. IWR Rep. 10-R-4. Alexandria, VA: USACE Institute for Water Resources.
Johnson, H., and L. Styhre. 2015. “Increased energy efficiency in short sea shipping through decreased time in port.” Transp. Res. Part A Policy Pract. 71: 167–178. https://doi.org/10.1016/j.tra.2014.11.008.
Kruse, C. J., K. N. Mitchell, P. K. DiJoseph, D. H. Kang, D. L. Schrank, and W. L. Eisele. 2018. “Developing and implementing a port fluidity performance measurement methodology using automatic identification system data.” Transp. Res. Rec. 2672: 30–40. https://doi.org/10.1177/0361198118796353.
Kumar, S. 2002. “User charges for port cost recovery: The US harbour maintenance tax controversy.” Int. J. Marit. Econ. 4 (2): 149–163. https://doi.org/10.1057/palgrave.ijme.9100040.
LCA (Lake Carriers Association). 2019. Interview at Lake Carriers Association. Rocky River, OH: LCA.
Mahmoudzadeh, A., M. Khodakarami, C. Ma, K. N. Mitchell, X. B. Wang, and Y. Zhang. 2021. “Waterway maintenance budget allocation in a multimodal network.” Transp. Res. Part E Logist. Transp. Rev. 146: 102215. https://doi.org/10.1016/j.tre.2020.102215.
McIntosh, C. R., and R. K. Skalberg. 2010. “A statistical approach to US harbor maintenance tax rates and replacement user fees.” Marit. Econ. Logist. 12: 263–279. https://doi.org/10.1057/mel.2010.7.
McIntosh, C. R., N. A. Wilmot, and R. K. Skalberg. 2015. “Paying for harbor maintenance in the US: Options for moving past the Harbor Maintenance Tax.” Transp. Res. Part A: Policy Pract. 74: 210–221. https://doi.org/10.1016/j.tra.2015.02.014.
Meyer, E. S., G. W. Characklis, C. Brown, and P. Moody. 2016. “Hedging the financial risk from water scarcity for Great Lakes shipping: Great Lakes Water Levels and Financial Risks.” Water Resour. Res. 52: 227–245. https://doi.org/10.1002/2015WR017855.
Meyer, E. S., B. T. Foster, G. W. Characklis, C. Brown, and A. J. Yates. 2020. “Integrating physical and financial approaches to manage environmental financial risk on the Great Lakes.” Water Resour. Res. 56 (5): e2019WR024853. https://doi.org/10.1029/2019WR024853.
Normand, A. E., and N. T. Carter. 2020. U.S. Army Corps of Engineers: Annual appropriations process and issues for congress. CRS Rep. No. R46320. Washington, DC: Congressional Research Service.
Oztanriseven, F., and H. Nachtmann. 2017. “Economic impact analysis of inland waterway disruption response.” Eng. Econ. 62: 73–89. https://doi.org/10.1080/0013791X.2016.1163627.
Oztanriseven, F., and H. Nachtmann. 2020. “Modeling dynamic behavior of navigable inland waterways.” Marit. Econ. Logist. 22: 173–195. https://doi.org/10.1057/s41278-019-00127-5.
Platts. 2021. “BunkerWorld.” SP Glob. Platts. Accessed February 5, 2020. https://www.bunkerworld.com.
Psaraftis, H. N., and C. A. Kontovas. 2013. “Speed models for energy-efficient maritime transportation: A taxonomy and survey.” Transp. Res. Part C Emerging Technol. 26: 331–351. https://doi.org/10.1016/j.trc.2012.09.012.
Ramsdell, R. 2011. “Technical inputs to dredging cost estimates.” In Presented at the Western Dredging Association (WEDA XXXI) Technical Conf. and Texas A&M University (TAMU 42) Dredging Seminar. 169–177. Vancouver, WA: Western Dredging Association.
Sánchez, R. J., J. Hoffmann, A. Micco, G. V. Pizzolitto, M. Sgut, and G. Wilmsmeier. 2003. “Port efficiency and international trade: Port efficiency as a determinant of maritime transport costs.” Marit. Econ. Logist. 5: 199–218. https://doi.org/10.1057/palgrave.mel.9100073.
Sand, P. 2019. “IMO 2020: Market uncertainty brings more fuel oil price volatility.” International Shipping News.
Stopford, M. 2009. Maritime economics. 3rd ed. London: Routledge.
Sugrue, D. 2020. Data Fusion of AIS and LPMS data on the Great Lakes used to assess Maritime Transport Efficiency. [dataset]. Ann Arbor, MI: Univ. of Michigan—Deep Blue Data. https://doi.org/10.7302/kpft-b014..
Sugrue, D. 2021. Alternative financing for harbor infrastructure using big data analytics in the Great Lakes Waterway. Ann Arbor, MI: Univ. of Michigan.
Sugrue, D., and P. Adriaens. 2021. “A data fusion approach to predict shipping efficiency for bulk carriers.” Transp. Res. Part E Logist. Transp. Rev. 149: 102326. https://doi.org/10.1016/j.tre.2021.102326.
Sugrue, D., A. Martin, and P. Adriaens. 2021. “Applied financial metrics to measure interdependencies in a waterway infrastructure system.” J. Infrastruct. Syst. 27: 05020010. https://doi.org/10.1061/(ASCE)IS.1943-555X.0000588.
Talley, W. K. 2007. “Financing port dredging costs: Taxes versus user fees.” Transp. J. 46: 53–58.
USACE, Buffalo District. 2018. Toledo Harbor Project Map. Buffalo, NY: USACE.
USACE, Buffalo District. 2020a. Toledo Harbor Fact Sheet. Buffalo, NY: USACE. Accessed December 29, 2020. https://lre-ops.usace.army.mil/OandM/factsheets/ToledoHarbor.pdf.
USACE, Buffalo District. 2020b. Toledo Harbor, OH Project Condition Soundings. Buffalo, NY: USACE.
USACE, Detroit District. 2019. US Army Corps of Engineers. Detroit, MI: USACE. Accessed February 14, 2019. https://www.lre.usace.army.mil/Missions/Recreation/Soo-Locks-Visitor-Center/Winter-Work-at-the-Soo-Locks/.
USACE, Detroit District. 2020a. Great Lakes Water Levels. Coord. Mon. Mean Lakewide Aver. Water Levels. Detroit, MI: USACE. Accessed February 10, 2020. http://lre-wm.usace.army.mil/ForecastData/GLHYD_data_metric.csv.
USACE, Detroit District. 2020b. Great Lakes Navigation. Detroit, MI: USACE. Accessed December 29, 2020. https://www.lre.usace.army.mil/Missions/Great-Lakes-Navigation/.
USACE IWR. 2013. Potential and implementation of alternative funding and finance of the USACE Civil Works Mission. No. 2013-R-06. Washington, DC: Institute for Water Resources.
USACE IWR. 2020. US Army Corps of Engineers Lock Performance Monitoring System. Navigation and Civil Works Decision Support. Washington, DC: Institute for Water Resources. Accessed September 30, 2018. https://www.iwr.usace.army.mil/About/Technical-Centers/NDC-Navigation-and-Civil-Works-Decision-Support/.
USACE IWR. n.d. Waterborne tonnage for principal U.S. ports and all 50 states and U.S. territories. Arlington, VA: Institute for Water Resources.
USACE NDC. 2018. Dredging statistics. Washington, DC: Navigation Data Center. Accessed February 12, 2020. https://publibrary.planusace.us/#/document/f8c3fd8b-3395-465e-fd59-9c7723c73010.
USACE NDC. 2020. FY2019 dredging contracts awarded. Washington, DC: Navigation Data Center.
USACE NDC. 2021. FY2020 dredging contracts awarded. Washington, DC: Navigation Data Center.
Wilmsmeier, G., J. Hoffmann, and R. J. Sanchez. 2006. “The impact of port characteristics on international maritime transport costs.” Res. Transp. Econ. 16: 117–140. https://doi.org/10.1016/S0739-8859(06)16006-0.
Younevitch, A., and A. Bowles. 2019. Into the storm: How will shipping cope with fuel bills from IMO 2020. Special Shipping Report. London: S&P Global Platts.

Information & Authors

Information

Published In

Go to Journal of Waterway, Port, Coastal, and Ocean Engineering
Journal of Waterway, Port, Coastal, and Ocean Engineering
Volume 148Issue 1January 2022

History

Received: May 12, 2021
Accepted: Sep 20, 2021
Published online: Nov 10, 2021
Published in print: Jan 1, 2022
Discussion open until: Apr 10, 2022

Permissions

Request permissions for this article.

Authors

Affiliations

Assistant Professor, Dept. of Geography and Environmental Engineering, United States Military Academy, 745 Brewerton Rd., West Point, NY 10996 (corresponding author). ORCID: https://orcid.org/0000-0002-5626-9231. Email: [email protected]
Professor, Dept. of Civil and Environmental Engineering, Univ. of Michigan, 1351 Beal Ave, Ann Arbor, MI 48109-2125; Ross School of Business, Univ. of Michigan, 701 Tappan Ave, Ann Arbor, MI 48109-2125; School for Environment and Sustainability, Univ. of Michigan, 440 Church St., Ann Arbor, MI 48109-2125. ORCID: https://orcid.org/0000-0003-0915-0390. Email: [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

  • Technology-enabled financing of sustainable infrastructure: A case for blockchains and decentralized oracle networks, Technological Forecasting and Social Change, 10.1016/j.techfore.2022.122258, 187, (122258), (2023).

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