Port security in EU: A systemic approach

Andritsos, F.; Marita, Mosconi,

doi:10.1109/wssc.2010.5730222

Cited by 8 publications

(5 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Due to this, the element of security culture comprised questions about educational knowledge, training of personnel (Thai and Grewal 2007) and the understanding of MSGs as financial and personnel investment (Edgerton 2013). The security network element comprised questions of compliance regarding the adaptation to MSGs at different levels (Andritsos and Mosconi 2010). In addition, the security network element included questions about collaboration within the maritime security stakeholder network (Whelan 2017).…”

Section: Methodsmentioning

confidence: 99%

“…However, Roe (2009) address the conflict between national regulatory bodies in relation to the efficient management of global trade. There is also a lack of adaptation to MSGs at national and international levels due to a dearth of common definitions in relation to the management of goods and services within different MSGs (Andritsos and Mosconi 2010).…”

Section: Maritime Security Managementmentioning

confidence: 99%

“…Moreover, the regulation comprises areas of implementation in relation to the ship-type and states that it is the responsibility of the European Commission to undertake supervisions and inspections. The Regulation EC 725/2004 applies to all member states, while the Directive 2005/65/EC applies to all EU ports and aims to provide a sufficient and effective security level that protects the entire maritime infrastructure and transportation chain (Andritsos and Mosconi 2010). However, a regulation must be implemented and applied in all Member States in the European Union, compared to a directive which only concerns one or a group of Member States.…”

Section: The First International Levelmentioning

confidence: 99%

See 2 more Smart Citations

Maritime security guidelines: a study of Swedish ports’ perceived barriers to compliance

Ringsberg

Cole

2020

Maritime Policy & Management

View full text Add to dashboard Cite

Due to the constant risk of piracy and terrorist attacks which cause disturbances within international shipping of goods, barriers to the adoption of maritime security guidelines (MSGs) at European ports have become prevalent. In this paper, a conceptual framework was created to explore the perceived barriers that prevent compliance with MSGs. To verify the conceptual framework, empirical data were collected using a mixed-methods approach, which was comprised of interviews with national experts and a survey of 47% of Swedish ports involved in the shipping of goods. According to the presented framework, the perceived barriers of Swedish ports to compliance with MSGs were linked to collaborations within the Swedish Maritime Security stakeholder network, available resources and educational knowledge about security culture. In addition, the perceived barriers of smaller ports were linked to the adaptation to MSGs at different levels and the absence of specific tools of maritime security management. Due to an increased interest in international shipping of goods, this paper is currently one of few that addresses the barriers to compliance with MSGs. Moreover, the paper presents a general conceptual framework, novel managerial implications and recommendations for future research.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Maritime Security Managementmentioning

confidence: 99%

Section: The First International Levelmentioning

confidence: 99%

See 1 more Smart Citation

Maritime security guidelines: a study of Swedish ports’ perceived barriers to compliance

Ringsberg

Cole

2020

Maritime Policy & Management

View full text Add to dashboard Cite

show abstract

“…During an extended period, navigational safety control was not the priority task. All changed after 11 September 2001 [ 74 ]. Since then, different technologies and instruments have been implemented for maritime border control, especially underwater, to detect possible threats, such as military objects, divers, mines, smuggling, etc.…”

Section: Maritime-specific Sensors and Nonintrusive Object Inspectionmentioning

confidence: 99%

The Use of Terrestrial and Maritime Autonomous Vehicles in Nonintrusive Object Inspection

Mamchur

Pekša

Kolodinskis

et al. 2022

Sensors

View full text Add to dashboard Cite

Traditional nonintrusive object inspection methods are complex or extremely expensive to apply in certain cases, such as inspection of enormous objects, underwater or maritime inspection, an unobtrusive inspection of a crowded place, etc. With the latest advances in robotics, autonomous self-driving vehicles could be applied for this task. The present study is devoted to a review of the existing and novel technologies and methods of using autonomous self-driving vehicles for nonintrusive object inspection. Both terrestrial and maritime self-driving vehicles, their typical construction, sets of sensors, and software algorithms used for implementing self-driving motion were analyzed. The standard types of sensors used for nonintrusive object inspection in security checks at the control points, which could be successfully implemented at self-driving vehicles, along with typical areas of implementation of such vehicles, were reviewed, analyzed, and classified.

show abstract

“…Most of the existing studies on the risk assessment of maritime ports have focused on port security [1][2][3] and port safety [4][5][6]. Notably, most studies focusing on the security considered only unusual events such as hostile attacks [7] and the smuggling of weapons [8], and most studies pertaining to port safety focused on accidents that occurred during usual port activities such as loading, discharging, importing, and exporting.…”

Section: Introductionmentioning

confidence: 99%

Machine Learning-Based Models for Accident Prediction at a Korean Container Port

Kim

Lee

et al. 2021

Sustainability

View full text Add to dashboard Cite

The occurrence of accidents at container ports results in damages and economic losses in the terminal operation. Therefore, it is necessary to accurately predict accidents at container ports. Several machine learning models have been applied to predict accidents at a container port under various time intervals, and the optimal model was selected by comparing the results of different models in terms of their accuracy, precision, recall, and F1 score. The results show that a deep neural network model and gradient boosting model with an interval of 6 h exhibits the highest performance in terms of all the performance metrics. The applied methods can be used in the predicting of accidents at container ports in the future.

show abstract

Port security in EU: A systemic approach

Cited by 8 publications

References 0 publications

Maritime security guidelines: a study of Swedish ports’ perceived barriers to compliance

Maritime security guidelines: a study of Swedish ports’ perceived barriers to compliance

The Use of Terrestrial and Maritime Autonomous Vehicles in Nonintrusive Object Inspection

Machine Learning-Based Models for Accident Prediction at a Korean Container Port

Contact Info

Product

Resources

About