Skip to main content Accessibility help
×
Home

A Risk Assessment of Ships Groundings in Rivers: The Case of Parana River

  • Hristos Karahalios (a1)

Abstract

A ship's grounding appears to be a significant threat to the safety of its crew, marine environment and the local ports economy. The risk of such incidents is higher in rivers since weather conditions can significantly alter the depths of channels from those shown on navigation charts. By means of a fuzzy analytic hierarchy process, a new methodology is proposed, capable of evaluating the hazards of a ship's grounding in a river. The proposed method contributes to safe navigation in rivers. Navigators are able to assess grounding risk in a river passage based on local information of past incidents. The proposed methodology is used to evaluate commercial risks from groundings in the Parana River. A case study was carried out using data from 118 cases, as provided by local agencies for the period 2008–2017.

Copyright

Corresponding author

References

Hide All
Akyuz, E., Karahalios, H. and Celik, M. (2015). Assessment of the maritime labour convention compliance using balanced scorecard and analytic hierarchy process approach. Maritime Policy & Management, 42(2), 118.
Asgari, N., Hassani, A., Jones, D. and Nguye, H. H. (2015). Sustainability ranking of the UK major ports: methodology and case study. Transportation Research Part E: Logistics and Transportation Review, 78, 1939.
Ayag, Z. and Özdemir, R. G. (2006). A fuzzy AHP approach to evaluating machine tool alternatives. Journal of Intelligent Manufacturing, 17(2), 179190.
Beikkhakhian, Y., Javanmardi, M., Karbasian, M. and Khayambashi, B. (2015). The application of ISM model in evaluating agile suppliers selection criteria and ranking suppliers using fuzzy TOPSIS-AHP methods. Expert Systems with Applications, 42(15), 62246236.
Buldgen, L., Bela, A. and Philippe, R. (2015). Simplified analytical methods to analyze lock gates submitted to ship collisions and earthquakes. Mathematical Modelling in Civil Engineering, 11(3), 822.
Celik, M. (2009). Designing of integrated quality and safety management system (IQSMS) for shipping operations. Safety Science, 47(5), 569577.
Cheng, A. C., Yang, B. K. and Hwang, C. (1999). Evaluating attack helicopters by the AHP based on linguistic variable weight. European Journal of Operational Research, 116, 423435.
Choi, J., Lee, D., Kang, H. J., Kim, S. Y. and Shin, S. C. (2014). Damage scenarios and an onboard support system for damaged ships. International Journal of Naval Architecture and Ocean Engineering, 6(2), 236244.
Choung, J., Nam, J. M. and Tayyar, G. T. (2014). Residual ultimate strength of a very large crude carrier considering probabilistic damage extents. International Journal of Naval Architecture and Ocean Engineering, 6(1), 1426.
Ebrahimnejad, S., Mousavi, S. M. and Seyrafianpour, H. (2010). Risk identification and assessment for build-operate-transfer projects: a fuzzy multi attribute decision making model. Expert Systems with Applications, 37, 575586.
Erol, S. and Başar, E. (2015). The analysis of ship accident occurred in Turkish search and rescue area by using decision tree. Maritime Policy & Management, 42(4), 377388.
Fenstad, J., Dahl, Ø and Kongsvik, T. (2016). Shipboard safety: exploring organizational and regulatory factors. Maritime Policy & Management, 43(5), 552568.
Guo, S. and Zhao, H. (2015). Optimal site selection of electric vehicle charging station by using fuzzy TOPSIS based on sustainability perspective. Applied Energy, 158, 390402.
Havold, J. and Nesset, E. (2009). From safety culture to safety orientation: validation and simplification of a safety orientation scale using a sample of seafarers working for Norwegian ship owners. Safety Science, 47, 305326.
Joshi, D. and Kumar, S. (2016). Interval-valued intuitionistic hesitant fuzzy Choquet integral based TOPSIS method for multi-criteria group decision making. European Journal of Operational Research, 248(1), 183191.
Kaplan, R. S. and Norton, D. P. (1996). Linking the balanced scorecard to strategy. California Management Review, 39(1), 5379.
Kaplan, R. S. and Norton, D. P. (2004). Measuring the strategic readiness of intangible assets. Harvard Business Review, 82(1), 5263.
Kaplan, R. S. and Norton, D. P. (2005). The office of strategy management. Harvard Business Review, 83(10), 7280.
Karahalios, H. (2017). The application of the AHP-TOPSIS for evaluating ballast water treatment systems by ship operators. Transportation Research Part D Transport and Environment, 52(Part A), 172184.
Karahalios, H., Yang, Z. L., Williams, V. and Wang, J. (2011). A proposed system of hierarchical scorecards to assess the implementation of maritime regulations. Safety Science, 49, 450462.
Kowalski, A. (2013). Traffic engineering methods solutions of problems concerning ship's manoeuvres and sailing on the large rivers of Central America. Scientific Journals Maritime University of Szczecin, 33(105), 5761.
Kubler, S., Robert, J., Derigent, W., Voisin, A. and Le Traon, Y. (2016). A state-of-the-art survey & testbed of fuzzy AHP (FAHP) applications. Expert Systems Applications, 65, 398422.
Łozowicka, D. and Kaup, M. (2015). Analysis of the cause and effect of passenger ship accidents in the Baltic Sea. Scientific Journals of the Maritime University of Szczecin, 44(168), 6873.
Mazaheri, A., Montewka, J. and Kujala, P. (2014). Modeling the risk of ship grounding—a literature review from a risk management perspective. WMU Journal of Maritime Affairs, 13(2), 269297.
Mondragon, M. and Escofet, A. (2013). Analysis of environmental bonds in Mexican pacific major ship grounding. Journal of Environmental Protection, 4(08), 65.
Morgan, A. D., Shaw-Brown, K., Bellingham, I., Lewis, A., Pearce, M. and Pendoley, K. (2014). Global Oil Spills and Oiled Wildlife Response Effort: Implications for Oil Spill Contingency Planning. International Oil Spill Conference Proceedings (Vol. 2014, No. 1). American Petroleum Institute, 1524–1544.
Pak, J. Y., Yeo, G. T., Oh, S. W. and Yang, Z. (2015). Port safety evaluation from a captain's perspective: the Korean experience. Safety Science, 72, 172181.
Papanikolaou, A., Hamann, R., Lee, B. S., Mains, C., Olufsen, O., Vassalos, D. and Zaraphonitis, G. (2013). GOALDS—goal based damage ship stability and safety standards. Accident Analysis & Prevention, 60, 353365.
Park, K. S. and Lee, J. (2008). A new method for estimating human error probabilities: AHP-SLIM. Reliability Engineering and System Safety, 93, 578587.
Perepelkin, M., Knapp, S., Perepelkin, G. and Pooter, M. (2010). An improved methodology to measure flag performance for the shipping industry. Marine Policy, 34, 395405.
Punniyamoorthy, M. and Murali, R. (2008). Balanced score for the balanced scorecard: a benchmarking tool. Benchmarking: An International Journal, 15, 420443.
Ren, J. and Lützen, M. (2015). Fuzzy multi-criteria decision-making method for technology selection for emissions reduction from shipping under uncertainties. Transportation Research Part D: Transport and Environment, 40, 4360.
Saaty, T. L. (1994). How to make a decision: the analytic hierarchy process. Interfaces, 24(6), 1943.
Shafia, M. A., Mazdeh, M. M., Vahedi, M. and Pournader, M. (2011). Applying fuzzy balanced scorecard for evaluating the CRM performance. Industrial Management & Data Systems, 111(7), 11051135.
Sun, B., Hu, Z. and Wang, G. (2015). An analytical method for predicting the ship side structure response in raked bow collisions. Marine Structures, 41, 288311.
Tavana, M. and Hatami-Marbini, A. (2011). A group AHP-TOPSIS framework for human spaceflight mission planning at NASA. Expert Systems Applications, 38(11), 1358813603.
Tung, A., Baird, K. and Schoch, H. P. (2011). Factors influencing the effectiveness of performance measurement systems. International Journal of Operations & Production Management, 31(12), 12871310.
Uğurlu, Ö. (2015). Application of Fuzzy Extended AHP methodology for selection of ideal ship for oceangoing watchkeeping officers. International Journal of Industrial Ergonomics, 47, 132140.
Uğurlu, Ö, Erol, S. and Başar, E. (2016). The analysis of life safety and economic loss in marine accidents occurring in the Turkish Straits. Maritime Policy & Management, 43(3), 356370.
Ung, S. T., Williams, V., Chen, H. S., Bonsall, S. and Wang, J. (2006). Human error assessment and management in port operations using Fuzzy AHP. Marine Technology Society Journal, 40(1), 7386.
Vargas, L. G. (1982). Reciprocal matrices with random coefficients. Mathematical Modelling, 3(1), 6981.
Veisi, H., Liaghati, H. and Alipour, A. (2016). Developing an ethics-based approach to indicators of sustainable agriculture using analytic hierarchy process (AHP). Ecological Indicators, 60, 644654.
Vinodh, S., Shivraman, K. S. and Viswesh, S. (2012). AHP-based lean concept selection in a manufacturing organization. Journal of Manufacturing Technology Management, 23(1), 124136.
Wang, Y. M. and Parkan, C. (2006). Two new approaches for assessing the weights of fuzzy opinions in group decision analysis. Information Sciences, 176, 35383555.
Wedley, W. C. (1993). Consistency prediction for incomplete AHP matrices. Mathematic Computer Modelling, 17(415), 151161.
Wu, S. I. and Liu, S. Y. (2010). The performance measurement perspectives and cause relationship for ISO-certified companies: a case of opto-electronic industry. International Journal of Quality & Reliability Management, 27(1), 2747.
Young, C. N., Schopmeyer, S. A. and Lirman, D. (2012). A review of reef restoration and coral propagation using the threatened genus Acropora in the Caribbean and Western Atlantic. Bulletin of Marine Science, 88(4), 10751098.
Yu, Z., Hu, Z., Amdahl, J. and Liu, Y. (2013). Investigation on structural performance predictions of double-bottom tankers during shoal grounding accidents. Marine Structures, 33, 188213.
Yu, Z., Hu, Z. and Wang, G. (2015). Plastic mechanism analysis of structural performances for stiffeners on bottom longitudinal web girders during a shoal grounding accident. Marine Structures, 40, 134158.
Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8(3), 338353.
Zheng, G., Zhu, N., Tian, Z., Chen, Y. and Sun, B. (2012). Application of a trapezoidal fuzzy AHP method for work safety evaluation and early warning rating of hot and humid environments. Safety Science, 50(2), 228239.

Keywords

A Risk Assessment of Ships Groundings in Rivers: The Case of Parana River

  • Hristos Karahalios (a1)

Metrics

Full text views

Total number of HTML views: 0
Total number of PDF views: 0 *
Loading metrics...

Abstract views

Total abstract views: 0 *
Loading metrics...

* Views captured on Cambridge Core between <date>. This data will be updated every 24 hours.

Usage data cannot currently be displayed