Identifying stakeholder perceptions and realities of Paris MoU inspections

Piniella, Francisco; Alcaide, Juan Ignacio; Rodríguez-Díaz, Emilio

doi:10.1007/s13437-020-00193-0

Cited by 12 publications

(11 citation statements)

References 23 publications

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“…Indeed, it is possible to find various uses of Big Data within the shipping industry, whether on an academic or business level. For example, Knapp and Franses (2007) found mathematical proof that the port of inspection affects the total probability of detention, and a few years later, Piniella et al (2020) verified their results by finding that in Paris MoU, the inspection outcome is affected by the inspectors, the country, and the port. It is understood that it is possible to have Big Data support and effectively assist shipping professionals ashore on their decisions.…”

Section: Digitalization On Maritimementioning

confidence: 99%

Leveraging Big Data in port state control: An analysis of port state control data and its potential for governance and transparency in the shipping industry

Ampatzidis

2023

DCE

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The International Maritime Organization along with couple European countries (Paris MoU) has introduced in 1982 the port state control (PSC) inspections of vessels in national ports to evaluate their compliance with safety and security regulations. This study discusses how the PSC data share common characteristics with Big Data fundamental theories, and by interpreting them as Big Data, we could enjoy their governance and transparency as a Big Data challenge to gain value from their use. Thus, from the scope of Big Data, PSC should exhibit volume, velocity, variety, value, and complexity to support in the best possible way both officers ashore and on board to maintain the vessel in the best possible conditions for sailing. For the above purpose, this paper employs Big Data theories broadly used within the academic and business environment on datasets characteristics and how to access the value from Big Data and Analytics. The research concludes that PSC data provide valid information to the shipping industry. However, the lack of PSC data ability to present the complete picture of PSC regimes and ports challenges the maritime community’s attempts for a safer and more sustainable industry.

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Section: Digitalization On Maritimementioning

confidence: 99%

Leveraging Big Data in port state control: An analysis of port state control data and its potential for governance and transparency in the shipping industry

Ampatzidis

2023

DCE

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“…Qualitative research Mixed methods research Navas de Maya et al 28 , Osman et al 47 , Fu et al 49 , Yan et al 52 , Xiao et al 62 , Dikis et al 64 , Yang et al 67 , Yu et al 68 , Ukic ´Boljat et al 69 , Liu et al 70 Xiao et al 5 , Piniella et al 6 , Akyurek and Bolat 32 , Liou et al 34 , Osman et al 36 , Bielic ´et al 39 , Randic ´et al 45 , Akyurek and Bolat 71 , Knapp and van de Velden 72 , Chi and Jun 73 Cebi et al 4 , Yang et al 23 , Lin and Cheng 29 , Wang et al 33 , Sotiralis et al 35 , Graziano et al 38 , Wu et al 54 , Knapp and Franses 63 , Fu et al 74 , Cariou et al 75 Figure 12. The number of papers per year by the research fields.…”

Section: Quantitative Researchmentioning

confidence: 99%

“…On a regional basis, PSC inspections are divided into nine different Memorandum of Understandings (MoU) regimes around the world. 6 PSC officers carry out their inspections according to the rules of the MoU, which is included in the scope of the MoU regime. FSC inspections is an inspection regime that has the same purpose and similar system as PSC inspection.…”

Section: Introductionmentioning

confidence: 99%

A bibliometric review on maritime inspection analysis: Current and future insights

Bicen

Çelik

2022

Proceedings of the Institution of Mechanical Engineers, Part M:

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This study conducts a comprehensive bibliometric review of 123 papers, authored by 359 scholars, on maritime inspection analysis published in 77 scientific journals. The bibliographical data are analyzed in R software using the Bibliometrix tool. The most influential publications, journals, authors, and institutions are identified using citation analysis metrics. Three underlying research clusters are identified using the bibliographic coupling methodology: (i) analytic approach-based, (ii) research methodology-based, and (iii) research field-based clusters. Indeed, research collaboration networks are demonstrated at the institution, author, and country levels to address current tendencies in maritime inspection analysis. Besides the compliance solution studies, the future insights of inspection regimes along with green and smart shipping are extensively discussed. The study has great potential to encourage the forthcoming initiatives and research on inspection analytics and digitalization in maritime, offshore, logistics, and relevant fields.

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“…In evidence, in 2015 they accounted for 71.3% of the global fleet compared with just 21.6% in 1970 [1]. As a consequence, modifications have been applied to the tools used to enforce international regulatory principles, as established by the International Maritime Organisation (IMO), in matters of safety and pollution prevention [2].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Paris MoU Maritime Inspections Using a STATIS Approach

et al. 2021

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Port state control inspections implemented under the Paris Memorandum of Understanding (MoU) have become known as one of the best instruments for maritime administrations in European Union (EU) Member States to ensure that the ships docked in their ports comply with all maritime safety requirements. This paper focuses on the analysis of all inspections made between 2013 and 2018 in the top ten EU ports incorporated in the Paris MoU (17,880 inspections). The methodology consists of a multivariate statistical information system (STATIS) analysis using the inspected ship’s characteristics as explanatory variables. The variables used describe both the inspected ships (classification society, flag, age and gross tonnage) and the inspection (type of inspection and number of deficiencies), yielding a dataset with more than 600,000 elements in the data matrix. The most important results are that the classifications obtained match the performance lists published annually by the Paris MoU and the classification societies. Therefore, the approach is a potentially valid classification method and would then be useful to maritime authorities as an additional indicator of a ship’s risk profile to decide inspection priorities and as a tool to measure the evolution in the risk profile of the flag over time.

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Identifying stakeholder perceptions and realities of Paris MoU inspections

Cited by 12 publications

References 23 publications

Leveraging Big Data in port state control: An analysis of port state control data and its potential for governance and transparency in the shipping industry

Leveraging Big Data in port state control: An analysis of port state control data and its potential for governance and transparency in the shipping industry

A bibliometric review on maritime inspection analysis: Current and future insights

Evaluation of Paris MoU Maritime Inspections Using a STATIS Approach

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