Decision support for ship flooding crisis management

Jasionowski, Andrzej

doi:10.1016/j.oceaneng.2011.06.002

Cited by 27 publications

(35 citation statements)

References 1 publication

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“…It can be deduced that the decision will be changed in terms of the probability of

I_{s}^{f}

. Hence, the probability

P (I_{s}^{f})

is (0.5, 0.6, 0.7, 0.8, 0.9, 1.0) to discover the decision with incomplete information, and the corresponding entropy of the former organization is denoted as z = = H (0.5), H (0.6), H (0.7), H (0.8), H (0.9), H (1.0). Next, the result of the comprehensive evaluation of the options with incomplete information can be integrated.…”

Section: Methodology: a Three‐stage Decision‐making Modelmentioning

confidence: 99%

“…Crisis and emergency management have been attracting considerable attention in scientific research fields worldwide, and emergency preparedness has proved to be essential in natural disasters and nuclear emergency response . Ship emergency management also plays a crucial role in damage control in the shipping industry . The knowledge‐based system proposed by Calabrese et al .…”

Section: Introductionmentioning

confidence: 99%

“…According to prior studies on emergency response to maritime accidents, quick response is crucial for accident prevention. For example, Jasionowski introduced many notorious flooding incidents to demonstrate that the majority of the survivors have successfully escaped because of quick response. Moreover, the importance of a time‐sensitive emergency response has also been stated previously …”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Three‐Stage Decision‐Making Model under Restricted Conditions for Emergency Response to Ships Not under Control

Yan

Wang

et al. 2017

Risk Analysis

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A ship that is not under control (NUC) is a typical incident that poses serious problems when in confined waters close to shore. The emergency response to NUC ships is to select the best risk control options, which is a challenge in restricted conditions (e.g., time limitation, resource constraint, and information asymmetry), particularly in inland waterway transportation. To enable a quick and effective response, this article develops a three-stage decision-making framework for NUC ship handling. The core of this method is (1) to propose feasible options for each involved entity (e.g., maritime safety administration, NUC ship, and ships passing by) under resource constraint in the first stage, (2) to select the most feasible options by comparing the similarity of the new case and existing cases in the second stage, and (3) to make decisions considering the cooperation between the involved organizations by using a developed Bayesian network in the third stage. Consequently, this work provides a useful tool to achieve well-organized management of NUC ships.

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“…It can be deduced that the decision will be changed in terms of the probability of

I_{s}^{f}

. Hence, the probability

P (I_{s}^{f})

Section: Methodology: a Three‐stage Decision‐making Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Three‐Stage Decision‐Making Model under Restricted Conditions for Emergency Response to Ships Not under Control

Yan

Wang

et al. 2017

Risk Analysis

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“…When predicting the trajectory of ship, uncertainties will increase when the time passes . Moreover, according to the investigation of many ship flooding accidents, only the people take actions quickly can be saved (Jasionowski 2011), for example, MV Estonia and MV Rocknes. In this "Eastern Star" accident, although 12 people have been saved, but only 2 people were saved after the ship foundering.…”

Section: Probelems Of Maritime Accidents Managementmentioning

confidence: 99%

“…This is the most important tool for maritime accidents management in practice and much attention has focused on this research field (Calabrese et al, 2012;Jasionowski 2011;Wu et al, 2015a;Krohling et al, 2011). For instance, the knowledge-based system, proposed by Calabrese (et al 2012), can assist to handle the dangerous events and accidents effectively.…”

Section: Decision Support For Maritime Accidentsmentioning

confidence: 99%

Emergency Management of Maritime Accidents in the Yangtze River: Problems, Practice and Prospects

Yan

Zhang

et al. 2017

TransNav

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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.

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On the time for the abandonment of flooded passenger ships due to collision damages

Spanos¹,

Papanikolaou

2014

J Mar Sci Technol

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Decision support for ship flooding crisis management

Cited by 27 publications

References 1 publication

Three‐Stage Decision‐Making Model under Restricted Conditions for Emergency Response to Ships Not under Control

Three‐Stage Decision‐Making Model under Restricted Conditions for Emergency Response to Ships Not under Control

Emergency Management of Maritime Accidents in the Yangtze River: Problems, Practice and Prospects

On the time for the abandonment of flooded passenger ships due to collision damages

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