Abstract

Tampa Bay, FL, is a large, ecologically rich estuary that hosts one of the largest commercial ports in Florida. Automatic identification system (AIS) records from 2015 to 2017 were used to determine the number, size, speed, type, and transits of vessels in Tampa Bay. The AIS vessel types were grouped into 10 general classes based on function. The cargo and tanker classes had the highest number of unique vessels transiting the estuary. The tug class had the highest number of individual transits, followed by cargo class. The most common vessel lengths were 165–200 m. Typical drafts were 9–11 m, and ship speeds were almost all <10 m/s. Froude numbers calculated from these data indicated that ships were generally underway in displacement mode. Overall, <0.1% of the AIS records reported speeds >10 m/s. These were identified as smaller passenger and recreational vessels operating in planing mode. The AIS navigational status and speed were often inconsistent, therefore, the combination of speed and duration was used to define individual transits. The average tidal dependency (TD) parameter for all vessels transiting into the bay was −0.02, and 0.10 for combined cargo and tanker vessels. Proper evaluation of the TD required inclusion of the phase lag between the entrance position and the tide gauge.

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Acknowledgments

This effort received partial support from the Southeast Coastal Ocean Observing Regional Association (Sub Award #IOOS.16(028)USF.ML.OBS.1), the Gulf of Mexico Coastal Ocean Observing System (Award #02-S160275), the Greater Tampa Bay Marine Advisory Council-PORTS, Inc. (Award #2500-1066-00) and the Tampa Bay Estuary Program (PO#6911). The AIS data were provided by Marine Cadastre. Undergraduate researcher Rebecca George assisted with the AIS analysis.

References

Ahn, J.-H., K.-P. Rhee, and Y.-J. You. 2012. “A study on the collision avoidance of a ship using neural networks and fuzzy logic.” Appl. Ocean Res. 37: 162–173. https://doi.org/10.1016/j.apor.2012.05.008.
Berman, G. A., D. F. Naar, A. C. Hine, G. R. Brooks, S. F. Tebbens, B. T. Donahue, and R. Wilson. 2005. “Geologic structure and hydrodynamics of Egmont channel: An anomalous inlet at the mouth of Tampa Bay, Florida.” J. Coastal Res. 212: 331–357. https://doi.org/10.2112/03-0015.1.
Bertram, V., and H. Schneekluth. 1998. Ship design for efficiency and economy. Amsterdam, Netherlands: Elsevier.
Bilkovic, D. M., M. Mitchell, J. Davis, E. Andrews, A. King, P. Mason, J. Herman, N. Tahvildari, and J. Davis. 2017. Review of boat wake wave impacts on shoreline erosion and potential solutions for the Chesapeake Bay.” STAC Publication No. 17-002. Edgewater, MD: STAC.
Bošnjak, R., L. Šimunović, and Z. Kavran. 2012. “Automatic identification system in maritime traffic and error analysis.” Trans. Marit. Sci. 1 (2): 77–84. https://doi.org/10.7225/toms.v01.n02.002.
Breithaupt, S. A., A. Copping, J. Tagestad, and J. Whiting. 2017. “Maritime route delineation using AIS data from the atlantic coast of the US.” J. Navig. 70 (2): 379–394. https://doi.org/10.1017/S0373463316000606.
Briggs, M. J., M. Vantorre, K. Uliczka, and P. Debaillon. 2010. “Prediction of squat for underkeel clearance.” Chap. 26 in Handbook of coastal and ocean engineering, edited by Y. C. Kim, 723–774. Singapore: World Scientific.
Chen, P., G. Shi, S. Liu, and M. Gao. 2018. “Pattern knowledge discovery of ship collision avoidance based on AIS data analysis.” Int. J. Performability Eng. 14 (10): 2449–2457.
Creech, J. A., and J. F. Ryan. 2003. “AIS the cornerstone of national security?” J. Navig. 56 (1): 31–44. https://doi.org/10.1017/S0373463302002072.
Dalton, T., and D. Jin. 2010. “Extent and frequency of vessel oil spills in US marine protected areas.” Mar. Pollut. Bull. 60 (11): 1939–1945. https://doi.org/10.1016/j.marpolbul.2010.07.036.
Debnath, A. K., and H. C. Chin. 2016. “Modelling collision potentials in port anchorages: Application of the navigational traffic conflict technique (NTCT).” J. Navig. 69 (1): 183–196. https://doi.org/10.1017/S0373463315000521.
Demšar, U., and K. Virrantaus. 2010. “Space–time density of trajectories: Exploring spatio-temporal patterns in movement data.” Int. J. Geog. Inform. Sci. 24 (10): 1527–1542. https://doi.org/10.1080/13658816.2010.511223.
Dobrkovic, A., M.-E. Iacob, J. van Hillegersberg, M. R. Mes, and M. Glandrup. 2016. “Towards an approach for long term AIS-based prediction of vessel arrival times.” In Logistics and supply chain innovation: Bridging the Gap between theory and practice, edited by H. Zijm, M. Klumpp, U. Clausen, and M. ten Hompel, 281–294. London: Springer.
Dooms, M. 2019. “Stakeholder management for port sustainability: Moving from Ad-Hoc to structural approaches.” In Green ports, edited by R. Bergqvist, and J. Monios, 63–84. Amsterdam, Netherlands: Elsevier.
Duncan, J. H. 1983. “The breaking and non-breaking wave resistance of a two-dimensional hydrofoil.” J. Fluid Mech. 126: 507–520. https://doi.org/10.1017/S0022112083000294.
Evans, M. W., A. C. Hine, D. F. Belknap, and R. A. Davis. 1985. “Bedrock controls on barrier island development: West-central florida coast.” Mar. Geol. 63 (1–4): 263–283. https://doi.org/10.1016/0025-3227(85)90086-6.
Fan, L., X. Li, S. Zhang, and Z. Zhang. 2018. “Vessel size, investments and trade.” Chap. 18 in Handbook of international trade and transportation, edited by B. A. Blonigen, and W. W. Wilson, 518–538. Cheltenham, UK: Edward Elgar Publishing.
Fenical, S., P. Kolomiets, S. Kivva, and M. Zheleznyak. 2007. “Numerical modeling of passing vessel impacts on berthed vessels and shoreline.” In Vol. 5 of Coastal engineering 2006, edited by J. M. Smith, 1234–1246. Singapore: World Scientific.
Froude, W. 1877. Experiments upon the effect produced on the wave-making resistance of ships by length of parallel middle body. Mumbai, India: Institution of Naval Architects.
FSTEDC (Florida Seaport Transportation and Economic Development Council). 2018. Five-year Florida seaport mission plan. Tallahassee, FL: FSTEDC.
García-Cegarra, A. M., and A. S. Pacheco. 2019. “Collision risk areas between fin and humpback whales with large cargo vessels in Mejillones Bay (23°S), northern Chile.” Mar. Policy 103: 182–186. https://doi.org/10.1016/j.marpol.2018.12.022.
Goerlandt, F., and P. Kujala. 2011. “Traffic simulation based ship collision probability modeling.” Reliab. Eng. Syst. Saf. 96 (1): 91–107. https://doi.org/10.1016/j.ress.2010.09.003.
Goerlandt, F., and P. Kujala. 2014. “On the reliability and validity of ship–ship collision risk analysis in light of different perspectives on risk.” Saf. Sci. 62: 348–365. https://doi.org/10.1016/j.ssci.2013.09.010.
Goerlandt, F., and J. Montewka. 2014. “A probabilistic model for accidental cargo oil outflow from product tankers in a ship–ship collision.” Mar. Pollut. Bull. 79 (1–2): 130–144. https://doi.org/10.1016/j.marpolbul.2013.12.026.
Goldsworthy, L., and B. Goldsworthy. 2015. “Modelling of ship engine exhaust emissions in ports and extensive coastal waters based on terrestrial AIS data—An Australian case study.” Environ. Modell. Software 63: 45–60. https://doi.org/10.1016/j.envsoft.2014.09.009.
Göransson, G., M. Larson, and J. Althage. 2014. “Ship-generated waves and induced turbidity in the Göta Älv River in Sweden.” J. Waterw. Port Coastal Ocean Eng. 140 (3): 04014004. https://doi.org/10.1061/(ASCE)WW.1943-5460.0000224.
Greening, H. S., R. Hosler, M. Burke, M. Cladas, N. O’Hara, G. Raulerson, and E. Sherwood. 2017. The comprehensive conservation and management plan for Tampa Bay. St. Petersburg, FL: Tampa Bay Estuary Program.
Gucma, L., and M. Przywarty. 2008. “The model of oil spills due to ships collisions in Southern Baltic area.” Int. J. Mar. Navig. Saf. Sea Transp. 2 (4): 415–419.
Hager, W. H., and O. Castro-Orgaz. 2017. “William Froude and the Froude number.” J. Hydraul. Eng. 143 (4): 02516005. https://doi.org/10.1061/(ASCE)HY.1943-7900.0001213.
Harati-Mokhtari, A., A. Wall, P. Brooks, and J. Wang. 2007. “Automatic identification system (AIS): Data reliability and human error implications.” J. Navig. 60 (3): 373–389. https://doi.org/10.1017/S0373463307004298.
Hasegawa, K., G. Tashiro, S. Kiritani, and K. Tachikawa. 2001. “Intelligent marine traffic simulator for congested waterways.” In Proc., 7th IEEE Int. Conf. on Methods and Models in Automation and Robotics, Miedzyzdroje, Poland, 632–636. https://www.ieee-ras.org/.
Hazel, J., I. R. Lawler, H. Marsh, and S. Robson. 2007. “Vessel speed increases collision risk for the green turtle Chelonia mydas.” Review of. Endangered Species Res. 3: 105–113. https://doi.org/10.3354/esr003105.
Herbert, D., E. Astrom, A. Bersoza, A. Batzer, P. McGovern, C. Angelini, S. Wasman, N. Dix, and A. Sheremet. 2018. “Mitigating erosional effects induced by boat wakes with living shorelines.” Sustainability 10 (2): 436. https://doi.org/10.3390/su10020436.
Hossain, T., M. Adams, and T. R. Walker. 2019. “Sustainability initiatives in Canadian ports.” Mar. Policy 106: 103519. https://doi.org/10.1016/j.marpol.2019.103519.
ITU (International Telecommunications Unions). 2010. Technical characteristics for an automatic identification system using time-division multiple access in the VHF maritime mobile band. M Series 146. Geneva: ITU.
Jahn, C., and T. Scheidweiler. 2018. “Port call optimization by estimating ships’ time of arrival.” In Int. Conf. on Dynamics in Logistics, 172–177. Cham, Switzerland: Springer.
Jeong, M.-G., M.-J. Lee, and E.-B. Lee. 2018. “A study on intuitive technique of risk assessment for route of ships transporting hazardous and noxious substances.” J. Korean Navig. Port Res. 42 (2): 97–106. https://doi.org/10.5394/KINPR.2018.42.2.97.
Karafiath, G., D. McCallum, and D. Hendrix. 2004. “Designing navy hull forms for fuel economy.” Nav. Eng. J. 116 (2): 43–54. https://doi.org/10.1111/j.1559-3584.2004.tb00267.x.
Kennish, M. J. 2000. Estuary restoration and maintenance: The national estuary program. London: CRC Press.
Lalla-Ruiz, E., L. Heilig, and S. Voß. 2019. “Environmental sustainability in ports.” In Sustainable transportation and smart logistics, edited by J. Faulin, S. E. Grasman, A. A. Juan, and P. Hirsch, 65–89. Amsterdam, Netherlands: Elsevier.
Lee, G., S. Surendran, and S.-H. Kim. 2009. “Algorithms to control the moving ship during harbour entry.” Appl. Math. Modell. 33 (5): 2474–2490. https://doi.org/10.1016/j.apm.2008.07.012.
Liu, B. 2015. Maritime traffic anomaly detection from AIS satellite data in near port regions. Halifax, NS, Canada: Dalhousie Univ.
Liu, Q., and S. H. Lim. 2017. “Toxic air pollution and container port efficiency in the USA.” Marit. Econ. Logist. 19 (1): 94–105. https://doi.org/10.1057/mel.2015.29.
Liu, Y., R. Song, and R. Bucknall. 2019. “Intelligent tracking of moving ships in constrained maritime environments using AIS.” Cybern. Syst. 50 (6): 539–555. https://doi.org/10.1080/01969722.2019.1630566.
Mao, S., E. Tu, G. Zhang, L. Rachmawati, E. Rajabally, and G.-B. Huang. 2018. “An automatic identification system (AIS) database for maritime trajectory prediction and data mining.” In Proc., ELM-2016, 241–257. London: Springer.
Meersman, H., E. Van De Voorde, and T. Vanelslander. 2014. Future challenges for the port and shipping sector. New York: Informa Law from Routledge.
Meyers, S. D., and M. E. Luther. 2020. “The impact of sea level rise on maritime navigation within a large, channelized estuary.” Marit. Policy Manage. 1–17. https://doi.org/10.1080/03088839.2020.1723810.
Mitchell, K. N., and B. Scully. 2014. “Waterway performance monitoring with automatic identification system data.” Transp. Res. Rec. 2426 (1): 20–26. https://doi.org/10.3141/2426-03.
Molland, A. F., S. R. Turnock, and D. A. Hudson. 2017. Ship resistance and propulsion. Cambridge, UK: Cambridge Univ. Press.
Moore, T. J., J. V. Redfern, M. Carver, S. Hastings, J. D. Adams, and G. K. Silber. 2018. “Exploring ship traffic variability off California.” Ocean Coastal Manage. 163: 515–527. https://doi.org/10.1016/j.ocecoaman.2018.03.010.
Murk, D. W. 1999. “Vessel traffic management: A new philosophy.” In Proc., Marine Safety Council, 24–25. Saint Germain en Laye, France: Association Internationale de Signalisation Maritime.
Nishizaki, C., M. Terayama, T. Okazaki, and R. Shoji. 2018. “Development of navigation support system to predict new course of ship.” In 2018 World Automation Congress, 131–135. Piscataway, NJ: IEEE.
Oh, J.-Y., H.-J. Kim, and S.-K. Park. 2018. “Detection of ship movement anomaly using AIS data: A study.” J. Korean Navig. Port Res. 42 (4): 277–282.
Olba, X. B., W. Daamen, T. Vellinga, and S. P. Hoogendoorn. 2017. “Network capacity estimation of vessel traffic: An approach for port planning.” J. Waterw. Port Coastal Ocean Eng. 143 (5): 04017019. https://doi.org/10.1061/(ASCE)WW.1943-5460.0000400.
Otvos, E. G. 1981. “Barrier Island formation through nearshore aggradation—Stratigraphic and field evidence.” Mar. Geol. 43 (3–4): 195–243. https://doi.org/10.1016/0025-3227(81)90181-X.
Ozturk, U., and K. Cicek. 2019. “Individual collision risk assessment in ship navigation: A systematic literature review.” Ocean Eng. 180: 130–143. https://doi.org/10.1016/j.oceaneng.2019.03.042.
Papanikolaou, A. 2014. Ship design: Methodologies of preliminary design. Dordrecht, Netherlands: Springer.
Paul, J. A., and L. MacDonald. 2017. “An empirical analysis of US vessel-related port accidents (2002–2012): Impact of union membership and port efficiency on accident incidence and economic damage.” Marit. Econ. Logist. 19 (4): 723–748. https://doi.org/10.1057/mel.2016.17.
Pelot, R., and L. Plummer. 2010. “Spatial analysis of traffic and risks in the coastal zone.” In Coastal and marine geospatial technologies, edited by D. R. Green, 227–238. Dordrecht, Netherlands: Springer.
Pikesley, S. K., et al. 2018. “A novel approach to estimate the distribution, density and at-sea risks of a centrally-placed mobile marine vertebrate.” Biol. Conserv. 221: 246–256. https://doi.org/10.1016/j.biocon.2018.03.011.
PORT. 2019. State of the port, 2018. Year in review. Tampa, FL: PORT.
Rong, H., A. P. Teixeira, and C. G. Soares. 2019. “Ship trajectory uncertainty prediction based on a Gaussian process model.” Ocean Eng. 182: 499–511. https://doi.org/10.1016/j.oceaneng.2019.04.024.
Schultz, C. L. 2015. Crowdsourced maritime data: Examining the feasibility of using under keel clearance data from AIS to identify hydrographic survey priorities. Los Angeles: Univ. of Southern California.
Scully, B. M. 2016. “Multi-port comparison of the tidal influence on navigating vessel populations.” In Ports 2016: Port Planning and Development, edited by D. Oates, E. Burkhart, and J. Grob, 832–842. Reston, VA: ASCE.
Shelmerdine, R. L. 2015. “Teasing out the detail: How our understanding of marine AIS data can better inform industries, developments, and planning.” Mar. Policy 54: 17–25. https://doi.org/10.1016/j.marpol.2014.12.010.
Sidibé, A., and G. Shu. 2017. “Study of automatic anomalous behaviour detection techniques for maritime vessels.” J. Navig. 70 (4): 847–858. https://doi.org/10.1017/S0373463317000066.
Silveira, P. A. M., A. P. Teixeira, and C. G. Soares. 2013. “Use of AIS data to characterise marine traffic patterns and ship collision risk off the coast of Portugal.” J. Navig. 66 (6): 879–898. https://doi.org/10.1017/S0373463313000519.
Simon, J. L. 1974. “Tampa Bay estuarine system—A synopsis.” Florida Sci. 37 (4): 216–244.
Svanberg, M., V. Santén, A. Hörteborn, H. Holm, and C. Finnsgård. 2019. “AIS in maritime research.” Mar. Policy 106: 103520. https://doi.org/10.1016/j.marpol.2019.103520.
TBEP (Tampa Bay Estuary Program). 2015. Economic valuation of tampa Bay. St. Petersburg, FL: TBEP.
Tu, E., G. Zhang, L. Rachmawati, E. Rajabally, and G.-B. Huang. 2018. “Exploiting AIS data for intelligent maritime navigation: A comprehensive survey from data to methodology.” IEEE Trans. Intell. Transp. Syst. 19 (5): 1559–1582. https://doi.org/10.1109/TITS.2017.2724551.
Ulm, M., A. Arns, T. Wahl, S. D. Meyers, M. E. Luther, and J. Jensen. 2016. “The impact of barrier island loss on extreme events in Tampa Bay.” Front. Environ. Sci. 3: 56. https://doi.org/10.3389/fmars.2016.00056.
Wan, Z., M. Zhu, S. Chen, and D. Sperling. 2016. “Pollution: Three steps to a green shipping industry.” Nature 530 (7590): 275–277. https://doi.org/10.1038/530275a.
Wang, Y., J. Zhang, X. Chen, X. Chu, and X. Yan. 2013. “A spatial–temporal forensic analysis for inland–water ship collisions using AIS data.” Saf. Sci. 57: 187–202. https://doi.org/10.1016/j.ssci.2013.02.006.
Watson, D. G. 2002. Practical ship design. Vol. 1, Ocean engineering book series. Amsterdam, Netherlands: Elsevier.
Wehausen, J. V. 1973. “The wave resistance of ships.” In Advances in applied mechanics, edited by C.-S. Yih, 93–245. Amsterdam, Netherlands: Elsevier.
Winkler, D. 2012. AIS data quality and the authoritative vessel identification service (AVIS). Arlington, VA: National GMDSS Implementation Task Force.
Wu, L., Y. Xu, Q. Wang, F. Wang, and Z. Xu. 2017. “Mapping global shipping density from AIS data.” J. Navig. 70 (1): 67–81. https://doi.org/10.1017/S0373463316000345.
Xin, X., K. Liu, X. Yang, Z. Yuan, and J. Zhang. 2019. “A simulation model for ship navigation in the “Xiazhimen” waterway based on statistical analysis of AIS data.” Ocean Eng. 180: 279–289. https://doi.org/10.1016/j.oceaneng.2019.03.052.
Yang, D., L. Wu, S. Wang, H. Jia, and K. X. Li. 2019. “How big data enriches maritime research–a critical review of automatic identification system (AIS) data applications.” Transp. Rev. 39 (6): 755–773. https://doi.org/10.1080/01441647.2019.1649315.
Yliskylä-Peuralahti, J. 2017. “Ecological modernization and the multi-scaled governance of sustainability in maritime transport.” Geogr. Ann. Ser. A Phys. Geogr. 99 (1): 42–58. https://doi.org/10.1080/04353684.2016.1277077.
Zervaki, A. 2015. “Introducing maritime spatial planning legislation in the EU: Fishing in troubled waters.” Mar. Saf. Secur. Law J. 1: 95–114.
Zhang, L., Q. Meng, and T. F. Fwa. 2017. “Big AIS data based spatial-temporal analyses of ship traffic in Singapore port waters.” Transp. Res. Part E 129: 287–304. https://doi.org/10.1016/j.tre.2017.07.011.
Zhang, P., D.-x. Zhu, and W.-h. Leng. 2008. “Parametric approach to design of hull forms.” J. Hydrodyn. 20 (6): 804–810. https://doi.org/10.1016/S1001-6058(09)60019-6.
Zhang, Y., J. C. H. Fung, J. W. M. Chan, and A. K. H. Lau. 2019. “The significance of incorporating unidentified vessels into AIS-based ship emission inventory” Atmos. Environ. 203: 102–113. https://doi.org/10.1016/j.atmosenv.2018.12.055.

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Journal of Waterway, Port, Coastal, and Ocean Engineering
Volume 146Issue 5September 2020

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Received: Nov 11, 2019
Accepted: Mar 3, 2020
Published online: Jul 13, 2020
Published in print: Sep 1, 2020
Discussion open until: Dec 13, 2020

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Chief Scientist, Center for Maritime and Port Studies, Univ. South Florida, 140 7th Avenue South, St. Petersburg, FL 33701 (corresponding author). ORCID: https://orcid.org/0000-0003-1592-9050. Email: [email protected]
Mark E. Luther [email protected]
Associate Professor, Director, Center for Maritime and Port Studies, Univ. South Florida, 140 7th Avenue South, St. Petersburg, FL 33701. Email: [email protected]
Stephanie Ringuet [email protected]
GIS Programmer II, Department of Technology Services, City of St. Petersburg, 175 Fifth St. North, St. Petersburg, FL 33731. Email: [email protected]
Gary Raulerson [email protected]
Ecologist, Tampa Bay Estuary Program, 263 13th Avenue South Suite 350, St. Petersburg, FL 33701. Email: [email protected]
Ed Sherwood [email protected]
Director, Tampa Bay Estuary Program, 263 13th Avenue South Suite 350, St. Petersburg, FL 33701. Email: [email protected]
Katie Conrad [email protected]
Coastal Biologist, North Florida Ecological Services Office, US Fish and Wildlife Service, 7915 Baymeadows Way Suite 200, Jacksonville, FL 32256. Email: [email protected]
Gianfranco Basili [email protected]
Supervisory Biologist, Northeast Florida Ecological Services Field Office, US Fish and Wildlife Service, 7915 Baymeadows Way Suite 200, Jacksonville, FL 32256. Email: [email protected]

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