Journal is indexed in following databases:
- SCOPUS
- Web of Science Core Collection - Journal Citation Reports
- EBSCOhost
- Directory of Open Access Journals
- TRID Database - Transportation Research Board
- Index Copernicus Journals Master List
- BazTech
- Google Scholar
2023 Journal Impact Factor - 0.7
2023 CiteScore - 1.4
ISSN 2083-6473
ISSN 2083-6481 (electronic version)
Editor-in-Chief
Associate Editor
Prof. Tomasz Neumann
Published by
TransNav, Faculty of Navigation
Gdynia Maritime University
3, John Paul II Avenue
81-345 Gdynia, POLAND
e-mail transnav@umg.edu.pl
Emergency Management of Maritime Accidents in the Yangtze River: Problems, Practice and Prospects
1 Wuhan University of Technology, Wuhan, China
ABSTRACT: Maritime accidents have received considerable attentions due to the enormous property damage, casualties and serious environmental pollution. This paper first makes statistical analysis of the different types of maritime accidents in the period of 2012 to 2014 in the Yangtze River. Second, the problems of emergency management of maritime accidents are also proposed from the analysis of the major accident ?Eastern Star?.. Afterwards, four practice cases, including decision support for maritime accidents, emergency resource allocation, emergency simulation system and effectiveness of emergency management, are introduced to present the insights gained from these practices. Last, in order to address these problems, this paper proposes that an artificial societies, Computational experiments, and Parallel execution (ACP) approach should be introduced to establish an improved management system for maritime accidents in the future, and an ACP based maritime accident emergency management framework is proposed.
KEYWORDS: Inland Navigation, Oil Spill, Inland Shipping, Maritime Accidents, Emergency Management, Yangtze River, Artificial Societies, Computational Experiments, and Parallel Execution (ACP) , Eastern Star
REFERENCES
Akyuz, E., & Celik, M. (2014). A hybrid decision-making approach to measure effectiveness of safety management system implementations on-board ships. Safety Science, 68, 169-179.
Bhattacharya, S. (2012). The effectiveness of the ISM Code: A qualitative enquiry. Marine Policy, 36(2), 528-535.
Calabrese, F., Corallo, A., Margherita, A., & Zizzari, A. A. (2012). A knowledge-based decision support system for shipboard damage control. Expert Systems with Applications, 39(9), 8204-8211.
Cunha, I., Neuparth, T., Moreira, S., Santos, M. M., & Reis-Henriques, M. A. (2014). Management of contaminated marine marketable resources after oil and HNS spills in Europe. Journal of environmental management, 135,36-44.
Davies, A. J., & Hope, M. J. (2015). Bayesian inference-based environmental decision support systems for oil spill response strategy selection. Marine Pollution Bulletin, 96(1-2), 87.
Deng, S.C., Wu, Q., Shi, B., Chen, X.Q., Chu, X.M. (2014). Prediction of resource for responding waterway transportation emergency based on case-based reasoning [J]. China safety science journal, 24(3): 79-84. (In Chinese)
Duan, W., Cao, Z., Wang, Y., Zhu, B., Zeng, D., Wang, F. Y., ... & Wang, Y. (2013). An ACP approach to public health emergency management: using a campus outbreak of H1N1 influenza as a case study. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 43(5), 1028-1041.
Eleye-Datubo, A. G., Wall, A., Saajedi, A., & Wang, J. (2006). Enabling a powerful marine and offshore decision-support solution through bayesian network technique. Risk Analysis, 26(3), 695-721.
Friis-Hansen, P., & Simonsen, B. C. (2002). GRACAT: software for grounding and collision risk analysis. Marine Structures, 15(4), 383-401.
Garrett, R. A., Sharkey, T. C., Grabowski, M., & Wallace, W. A. (2017). Dynamic resource allocation to support oil spill response planning for energy exploration in the Arctic. European Journal of Operational Research, 257(1), 272-286.
Gui, H., Wang T.F., Wang, Y., Wu, Q. (2016). An Effectiveness Evaluation of Waterway Transportation Emergency Response Performance Based on a Workflow Model. Journal of Transport Information and Safety, 34(3), 116-125. (In Chinese)
Hänninen, M., Banda, O. A. V., & Kujala, P. (2014). Bayesian network model of maritime safety management. Expert Systems with Applications, 41(17), 7837-7846.
Jasionowski, A. (2011). Decision support for ship flooding crisis management. Ocean Engineering, 38(14), 1568-1581.
Krohling, R. A., & Campanharo, V. C. (2011). Fuzzy TOPSIS for group decision making: A case study for accidents with oil spill in the sea. Expert Systems with Applications, 38(4), 4190-4197.
Lehikoinen, A., Luoma, E., Mäntyniemi, S., & Kuikka, S. (2013). Optimizing the recovery efficiency of Finnish oil combating vessels in the Gulf of Finland using Bayesian networks. Environmental science & technology, 47(4), 1792-1799.
Li, P., Cai, Q., Lin, W., Chen, B., & Zhang, B. (2016). Offshore oil spill response practices and emerging challenges. Marine Pollution Bulletin, 110(1), 6-27.
Ma, Y.D., Shen Z.P. (2008). Study on the maritime emergency response to collision ships. Navigation Technology, 4: 21-23. (In Chinese)
Mokhtari, K., Ren, J., Roberts, C., & Wang, J. (2012). Decision support framework for risk management on sea ports and terminals using fuzzy set theory and evidential reasoning approach. Expert Systems with Applications, 39(5), 5087-5103.
Montewka, J., Ehlers, S., Goerlandt, F., Hinz, T., Tabri, K., & Kujala, P. (2014). A framework for risk assessment for maritime transportation systems—A case study for open sea collisions involving RoPax vessels. Reliability Engineering & System Safety, 124, 142-157.
Mazaheri, A., Montewka, J., & Kujala, P. (2014). Modeling the risk of ship grounding—a literature review from a risk management perspective. WMU Journal of Maritime Affairs, 13(2), 269-297.
Ning, B., Tang, T., Dong, H., Wen, D., Liu, D., Gao, S., & Wang, J. (2011). An introduction to parallel control and management for high-speed railway systems. IEEE Transactions on Intelligent Transportation Systems, 12(4), 1473-1483.
Ölçer, A. İ., & Majumder, J. (2006). A Case‐based Decision Support System for Flooding Crises Onboard Ships. Quality and Reliability Engineering International, 22(1), 59-78.
Shi, W., Su, F., & Zhou, C. (2014). A temporal accessibility model for assessing the ability of search and rescue in Nansha Islands, South China Sea. Ocean & Coastal Management, 95, 46-52.
Siljander, M., Venäläinen, E., Goerlandt, F., & Pellikka, P. (2015). GIS-based cost distance modelling to support strategic maritime search and rescue planning: a feasibility study. Applied Geography, 57, 54-70.
Su, S., & Wang, L. (2013). Three dimensional reconstruction of the fire in a ship engine room with multilayer structures. Ocean Engineering, 70, 201-207.
Tzannatos, E., & Kokotos, D. (2009). Analysis of accidents in Greek shipping during the pre-and post-ISM period. Marine Policy, 33(4), 679-684.
Ulusçu, Ö. S., Özbaş, B., Altıok, T., & Or, İ. (2009). Risk analysis of the vessel traffic in the strait of Istanbul. Risk Analysis, 29(10), 1454-1472.
Varela, J. M., & Soares Guedes, C.. (2007). A virual environment for decision support in ship damage control. IEEE computer graphics and applications, 27(4), 58-69.
Varela, J. M., Rodrigues, J. M., & Soares Guedes C. (2014). On-board decision support system for ship flooding emergency response. Procedia Computer Science, 29, 1688-1700.
Wu, B., Yan, X.P., Wang Y., Sun, X., Guo Z.X. (2013). Maritime patrol resource configuration based on navigational risks in bridge area. Navigation of China, 36(4), 82-85. (In Chinese)
Wu, B., Yan, X.P., Wang, Y., & Wei, X. (2014). Maritime emergency simulation system (MESS)-a virtual decision support platform for emergency response of maritime accidents. 2014 International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH), 155-162.
Wu, B., Yan, X.P., Wang, Y., & Zhang, J. F. (2015a). Emergency Group Decision-Making with Multi-divisional Cooperation for Inland Maritime Accident. In: A. Weintrit, T. Neumann (Eds), Information, Com-munication and Environment, Marine Navigation and Safety of Sea Transportation, CRC Press/Balkema, London, UK, 165-171.
Wu, B., Wang, Y., Zhang, J., Savan, E. E., & Yan, X.P.. (2015b). Effectiveness of maritime safety control in different navigation zones using a spatial sequential DEA model: Yangtze River case. Accident Analysis & Prevention, 81, 232-242.
Wu, B., Yan, X.P., Wang, Y., & Soares Guedes, C. (2016). Selection of maritime safety control options for NUC ships using a hybrid group decision-making approach. Safety science, 88, 108-122.
Wu, B., Yan, X.P., Wang, Y., & Soares, Guedes C. (2017). An Evidential Reasoning‐Based CREAM to Human Reliability Analysis in Maritime Accident Process. Risk Analysis, DOI: 10.1111/risa.12757.
Xiong, S., Long, H., Tang, G., Wan, J., & Li, H. (2015). The management in response to marine oil spill from ships in China: A systematic review. Marine pollution bulletin, 96(1), 7-17.
Xiong, G., Dong, X., Fan, D., Zhu, F., Wang, K., & Lv, Y. (2013). Parallel traffic management system and its application to the 2010 asian games. IEEE Transactions on Intelligent Transportation Systems, 14(1), 225-235.
Xue B. (2013). Discussion on the emergency response to collision ships. Navigation Technology, 2013, 4: 18-20. (In Chinese)
Yan, X.P., Wu, B., Wang, Y., Wei, X.Y. (2015) . Overview of Development and Current Progress in Maritime Simulation Research. Journal of System Simulation, 2015, 27(1): 13-28. (In Chinese)
Yang, J. B. (2001). Rule and utility based evidential reasoning approach for multiattribute decision analysis under uncertainties. European Journal of Operational Research, 131(1), 31-61.
Zhang, D., Yan, X. P., Yang, Z. L., Wall, A., & Wang, J. (2013). Incorporation of formal safety assessment and Bayesian network in navigational risk estimation of the Yangtze River. Reliability Engineering & System Safety, 118, 93-105.
Zhang, J., Yan, X.P., Zhang, D., Haugen, S., & Yang, X. (2014). Safety management performance assessment for Maritime Safety Administration (MSA) by using generalized belief rule base methodology. Safety Science, 63, 157-167.
Zhang, J., Teixeira, Â. P., Guedes Soares, C., Yan, X.P., & Liu, K. (2016). Maritime transportation risk assessment of Tianjin Port with Bayesian belief networks. Risk analysis, 36(6), 1171-1187.
Zhang, J., Teixeira, Â. P., Guedes Soares, C., & Yan, X.P. (2017). Probabilistic modelling of the drifting trajectory of an object under the effect of wind and current for maritime search and rescue. Ocean Engineering, 129, 253-264.
Citation note:
Yan X.P., Wu B., Zhang D., Zhang J.F.: Emergency Management of Maritime Accidents in the Yangtze River: Problems, Practice and Prospects. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 11, No. 1, doi:10.12716/1001.11.01.13, pp. 111-118, 2017
Authors in other databases:
Xin Ping Yan:
Bing Wu:
Di Zhang:
Jinfen Zhang:
_Ip74CcAAAAJ
_Ip74CcAAAAJ
Other publications of authors:
File downloaded 1226 times
