Consideration of the Possibility of Excursion Ship Passage in Busan North Port using Marine Traffic Assessment Index

Park, Young-Soo; Lee, Myoung-Ki; Kim, Jin-kwon; Lee, Yun-Sok; Park, Min-Jeong

doi:10.7837/kosomes.2019.25.3.298

Cited by 5 publications

(4 citation statements)

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“…Chen et al identified the potential risks of coastal recreation activities as hydrodynamics and water quality in the surf zone based on two major categories of coastal recreation hazards summarized by the World Health Organization (WHO) [ 28 ]. Park et al considered the marine environment to pinpoint the risks of yachting operations rooted in maritime traffic congestion [ 29 ]. As for management factors, Chen and Bau distinguished factors that affect beach safety from the standpoint of beach managers, including protective facilities and services provided by the beach [ 30 ].…”

Section: Literature Reviewmentioning

confidence: 99%

Risk assessment for yachting tourism in China using dynamic Bayesian networks

Yao,

Zhou,

Parmak

2023

PLoS ONE

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Scientific evaluation of yachting tourism safety risks (YTSRs) is crucial to reducing accidents in this sector. This paper is based on the data of 115 yachting tourism accidents in China’s coastal areas from 2008 to 2021. A fishbone diagram and the analytic hierarchy process (AHP) were used to identify the risk factors of yachting tourism from four aspects human, yachting, environmental, and management risk and to construct an evaluation index system. To perform dynamic evaluation, a dynamic evaluation model of YTSRs was built using dynamic Bayesian networks (DBN). The results indicate that human factors, such as the unsafe behavior of yachtsmen and tourists, are the primary risk factors; the risk is higher in summer than in winter, and the Pearl River Delta region has a greater risk of yachting tourism. It is suggested to improve the normal safety risk prevention and control system of yachting tourism, to advocate for multi-subject coordination and co-governance, and to improve the insurance service system so as to provide a guarantee for the safe and healthy development of yachting tourism in China. The findings provide theoretical and practical guidance for marine and coastal tourism safety management, as well as the prevention and control of YTSRs.

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Section: Literature Reviewmentioning

confidence: 99%

Risk assessment for yachting tourism in China using dynamic Bayesian networks

Yao,

Zhou,

Parmak

2023

PLoS ONE

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“…Park et al [33] discussed how the operations of an excursion ship, i.e., an increase in harbor traffic volume, affected the Busan North Port's marine traffic status by applying the marine traffic assessment indexes and IWRAP MkIImodel. Based on the relative importance, Bolat, Kayisoglu, Gunes, Kızılay and Ozsogut [16] ranked a list of factors contributing to port congestion by AHP.…”

Section: Quantitative Analysis Of Port Congestion Riskmentioning

confidence: 99%

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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“…Numerically, there are many vessels passing through the B Gate, but most are small vessels such as fishing boats. In this study, considering the fact that the characteristics of passing vessels are different for each sea area, the concept of L-converted scales rather than simple vessel scales was introduced [28]. Considering that small ships and large ships represent the same traffic volume when measuring maritime traffic will not lead to an accurate traffic volume analysis.…”

Section: Maritime Traffic Analysismentioning

confidence: 99%

A Study on the Design of Coastal Fairway Width Based on a Risk Assessment Model in Korean Waterways

Kang

Park

2022

Applied Sciences

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In this study, the appropriate fairway width was designed through the maritime traffic safety evaluation model. By applying the concept of L-converted traffic, it was found that the current maritime traffic volume is 5 to 20 ships per hour in the sea area near Gun-san Port. High-density sections were identified through density analysis based on maritime traffic volume, which ranged from 5 to 10 km, and sections with an area of 10 km or more were also analyzed. Considering the general traffic flow and density, it is necessary to set a route width of 10 km or more in the target sea area, as well as to design a minimum fairway width that ensures safety for all types of ocean use. In this study, four traffic flows were analyzed through machine learning and a comprehensive environmental stress model was created for the traffic flows. The amount of safety change according to the increase in traffic volume was compared and reviewed for a fairway width of 1 km to 10 km, which can be generally formed according to the characteristics of the sea area. In the assessment, we found that when the fairway width was 1–4 km and the L-converted traffic volume was 15 or more, the ES ≥ 750 value exceeded 10% of the total, thus creating a burden on the ship operators. In particular, it was found that the ES ≥ 750 value was 20% at most when the L-converted traffic volume was 20 or more. In a comprehensive analysis, the ES > 750 was found to be less than 10% when the fairway width was 6 km or more in the sea area with one crossing passage at 5 to 20 ships per hour, which was the experimental condition of this study, and the ship operator’s burden was determined to be insignificant. Based on these results, when designing routes between offshore wind farms that will be established in the future, we expect that it will be possible to design the minimum fairway width to ensure safety according to the traffic volume.

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Consideration of the Possibility of Excursion Ship Passage in Busan North Port using Marine Traffic Assessment Index

Cited by 5 publications

References 0 publications

Risk assessment for yachting tourism in China using dynamic Bayesian networks

Risk assessment for yachting tourism in China using dynamic Bayesian networks

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

A Study on the Design of Coastal Fairway Width Based on a Risk Assessment Model in Korean Waterways

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