Hub port potential of Marmara region in Turkey by network-based modelling

Bolat, Fırat; Guler, Nil

doi:10.1680/tran.13.00043

Cited by 3 publications

(2 citation statements)

References 10 publications

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“…The Port State Control Officer carries out an inspection, and according to the inspection procedures, each decision step (inspection type, deficiencies noted, and detention) requires professional judgment. Besides, the heavy density of traffic and hub ports [3] indeed affect the number of inspections. However, Paris MOU ship inspection regime targets ships according to inspection priorities, and ships are not inspected at all port of calls.…”

Section: Introductionmentioning

confidence: 99%

Ranking port state control detention remarks: professional Judgement and spatial overview

Akyurek

Bolat

2021

Eur. Transp. Res. Rev.

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Introduction The merchant marine fleet is under inspection by several parties to ensure maritime regulation compliance. International Maritime Organization mainly regulates the industry, and the most effective defender is indeed Port StateControl run by the regional memorandum of understandings. Objective This article aims to analyze all detention remarks of Paris Memoranda of Understanding (MOU) from 2013 to 2019 for EU15 countries (except Luxemburg and Austria) to guide marine industry on detainable Port State Control remarks and country risk profile. Methods The data of the detained vessels taken from the public website of Paris MOU and each report considered as a professional judgment that causes detention. Analytical Hierarchy Process Approach has been utilized to indicate the ranking of basic maritime regulations from the perspective of the Port State Control, and Geographic Information System (GIS) helps us to demonstrate the regional dispersion amongst EU15. Results Through an approach based on Analytical Hierarchy Process and demonstrating the results on GIS has been shown that almost all the country’s top priorities for regulation are Safety of Life at Sea (SOLAS) and Fire Safety Systems (FSS). Moreover, a comparative demonstration of the detention percentage of each regulation to AHP results demonstrates a better understanding of EU15 countries' detention profile. Conclusion The results of the study can assist Port State Officers, ship crew, ship owners, and managers in presenting the facts of their inspection and able to improve themselves. The spatial analysis is also expected to guide ship owners and managers to focus their vessel’s deficiencies on preventing sub-standardization. Policymakers also utilize these reports to evaluate their inspection practices.

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Section: Introductionmentioning

confidence: 99%

Ranking port state control detention remarks: professional Judgement and spatial overview

Akyurek

Bolat

2021

Eur. Transp. Res. Rev.

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“…Yannis et al (2015) provides some interesting data on mobile phone usage. The last paper (Bolat and Guler, 2015) analyses data to assess if a series of ports within Turkey have the potential to be hub ports by reviewing the port connectivity index.…”

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confidence: 99%

Editorial

Dewick¹

2015

Proceedings of the Institution of Civil Engineers - Transport

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Risk Assessment of Port Congestion Risk during the COVID-19 Pandemic

Gui

Wang

2022

JMSE

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With the COVID-19 outbreak hitting the world, the frequency and severity of port congestion caused by various factors are increasing, challenging the stability of international supply chains. Thus, it is necessary to conduct an in-depth study on congestion risks to reduce their adverse impacts on congestion. Although traditional criticality analysis techniques may be capable of ranking port congestion risk in common scenarios, new risk analysis methods are urgently required to tackle uncertainty along with the COVID-19 pandemic. This paper develops a methodology designed for the identification and prioritization of port congestion risk during the pandemic. First, a novel congestion risk assessment model is established by extending the risk prioritization index (RPI) suggested by failure mode and effects analysis (FMEA). Next, the combination of fuzzy Bayesian reasoning, AHP and the variation coefficient method is incorporated into the model in a complementary way to facilitate the treatment of uncertainty and quantitative analysis of the congestion under the different influence of risk factors in ports. Finally, the mode introduces a set of risk utility values for calculating the RPI for prioritization. A real case study and a sensitivity analysis were carried out to illustrate and validate the proposed model. The results proved that the applied method is feasible and functional. In the illustrative example, the top three risk factors are “Interruption of railways/barges services”, “Skilled labor shortage” and “Shortage of truck-drivers/drayage truck”. The findings obtained from this paper could provide useful insights for risk prevention and mitigation.

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Hub port potential of Marmara region in Turkey by network-based modelling

Cited by 3 publications

References 10 publications

Ranking port state control detention remarks: professional Judgement and spatial overview

Ranking port state control detention remarks: professional Judgement and spatial overview

Editorial

Risk Assessment of Port Congestion Risk during the COVID-19 Pandemic

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