Criteria System of Emergency Situations Risks Assessment in the Baltic Sea Ports

Bazaras, Darius; Palšaitis, Ramūnas; Petraška, Artūras; Zvaigzne, Andrejs

doi:10.1515/ttj-2017-0024

Cited by 3 publications

(2 citation statements)

References 8 publications

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“…Simple Additive Weighting (SAW) [35,36] Complex Proportional Assessment (COPRAS) [35,36] Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) [35] Descriptive Statistics Tables and Charts [37][38][39][40][41][42][43] Mathematical Models [44] Descriptive Models Network Analysis [17] Economic Models [45] Estimation Models Spatial Econometric Methods [46] Allometric Growth Model [47] Economic Geography Modelling [48] Quadratic Assignment Procedure [49] Super-Efficiency EBM-DEA Model [50] Forecast Models…”

Section: Multi-criteria Decision Analysismentioning

confidence: 99%

Exploring Port–City Relationships: A Bibliometric and Content Analysis

Zarei,

Arasteh,

Shahab

2024

Sustainability

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Planning for port development presents a complex challenge. Along with fostering cooperation and economic synergies, port development also necessitates careful balancing with existing city functions. Previous research on port–city relationships (PCRs) has yielded valuable insights, but a comprehensive systematic and bibliometric review to identify future research directions is lacking. Moreover, existing research in this field has not addressed the need for a comprehensive classification of content, methods, and driving forces. This study addresses these gaps by analyzing 113 academic articles published on PCRs between 2000 and 2023. Using a bibliometric approach, this study leverages the JavaScript programming language, VOSviewer 1.6.20 software, and the Scopus database. This paper aims to identify key research areas and influential studies within the field of PCRs. This analysis reveals emerging research topics and themes within PCRs. Additionally, it depicts which research countries, journals, and keywords are the most prominent with regard to this field, outlining the relationships between them. This study’s findings provide valuable insights into the current state of PCR research, including geographical distribution, publication trends, methodological approaches, and key research variables.

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Section: Multi-criteria Decision Analysismentioning

confidence: 99%

Exploring Port–City Relationships: A Bibliometric and Content Analysis

Zarei,

Arasteh,

Shahab

2024

Sustainability

View full text Add to dashboard Cite

show abstract

“…This introduces additional requirements both to navigators' qualifications and ability to adequately perceive navigational situations, promptly and efficiently navigate vessels, and make effective management decisions [7]. In these conditions, it is especially important that in a number of studies aimed at analyzing marine accidents, there is a clear pattern from the navigation situation initially identified by the navigator [8]. In real conditions, the identified situation is usually associated with the previous experience of the navigator and directly affects the planning of one's own actions when performing navigation tasks and vessel controls [9].…”

Section: Within the Framework Of The Model Based On The Principles Of Navigator Decision Trees Prediction By Data Mining Means Is Appliedmentioning

confidence: 99%

Navigation safety control system development through navigator action prediction by data mining means

Nosov

Zinchenko

Ben

et al. 2021

EEJET

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Taking into account current trends in the development of ergatic maritime transport systems, the factors of the navigator’s influence on vessel control processes were determined. Within the framework of the research hypothesis, to improve navigation safety, it is necessary to apply predictive data mining models and automated vessel control. The paper proposes a diagram of the ergatic vessel control system and a model for identifying the influence of the navigator “human factor” during navigation. Within the framework of the model based on the principles of navigator decision trees, prediction by data mining means is applied, taking into account the identifiers of the occurrence of a critical situation. Based on the prediction results, a method for optimal vessel control in critical situations was developed, which is triggered at the nodes of the navigator decision tree, which reduces the likelihood of a critical impact on vessel control. The proposed approaches were tested in the research laboratory “Development of decision support systems, ergatic and automated vessel control systems”. The use of the Navi Trainer 5,000 navigation simulator (Wärtsilä Corporation, Finland) and simulation of the navigation safety control system for critical situations have confirmed its effectiveness. As a result of testing, it was determined that the activation of the system allowed reducing the likelihood of critical situations by 18–54 %. In 11 % of cases, the system switched the vessel control processes to automatic mode and, as a result, reduced the risk of emergencies. The use of automated data mining tools made it possible to neutralize the negative influence of the “human factor” of the navigator and to reduce the average maneuvering time during vessel navigation to 23 %

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Automatic Determination of the Navigators Motivation Model When Operating Water Transport

Nosov

Popovych

Zinchenko

et al. 2021

RIC

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Context. The article proposes an approach for automated identification of the navigators motivational model in the control of water transport. Algorithms for data extraction as a result of the man-machine interaction of navigator with the electronic control systems of the vessel during performing navigation operations of increased complexity are proposed. Objective. The purpose of research is to apply formal and algorithmic approaches to extracting data on the motivational model of navigator to prevent accidents in water transport. Method. The identification of manifestation determination of navigators’ mental activity by means of the visual concept of the geometric group theory is proposed. This approach delivered the visual systematic-logical combining of diagnostic methods aimed at determining navigators motivational centers and the processes of professional activity like maneuver performing. The key indicator of identification is said to be the parameter of the navigator’s activity as “rpm_port” having an impact on the vessel speed being a marker of intensification of the navigator’s physiological activity. Such an approach is beneficial in time phase identification while maneuvering indicating explicitly at the stepping up of the navigator’s physiological motivational state. It was proven to be correct based on the results due to Ward’s dendrogram, several statistical methods and applied software. The obtained research results encourage the prediction of the navigator’ motivational states in critical situations. Results. In order to confirm the proposed formal-algorithmic approach, an experiment was carried out using the navigation simulator Navi Trainer 5000. Automated analysis of experimental ones made it possible to form a motivational map of the navigator and determine the decision-making model affecting in the processes of control vessel in difficult situations. Conclusions. The proposed research approaches made it possible to automate the processes of extracting data indicating the principles of decision-making by navigator. The effectiveness of proposed approach was substantiated by the results of experimental data automated processing and the constructed tree-like decision-making spaces.

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Criteria System of Emergency Situations Risks Assessment in the Baltic Sea Ports

Cited by 3 publications

References 8 publications

Exploring Port–City Relationships: A Bibliometric and Content Analysis

Exploring Port–City Relationships: A Bibliometric and Content Analysis

Navigation safety control system development through navigator action prediction by data mining means

Automatic Determination of the Navigators Motivation Model When Operating Water Transport

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