Preventing shipping accidents: Past, present, and future of waterway risk management with Baltic Sea focus

Kulkarni, Ketki; Goerlandt, Floris; Li, Jie; Banda, Osiris A. Valdez; Kujala, Pentti

doi:10.1016/j.ssci.2020.104798

Cited by 71 publications

(40 citation statements)

References 110 publications

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“…Here we assume homogeneous impacts on the areas that are not subject to direct extraction, although in reality the spatial footprint of impacts is dependent on the particle movement and distance of a point from the extraction area (Smith and Friedrichs 2011; Spearman 2015). Risks related to operating the vessels and impacts during transportation are not considered, as they are well addressed in other studies (Kulkarni et al 2020).…”

Section: Case Study Backgroundmentioning

confidence: 99%

Causal approach to environmental risks of seabed mining

Kaikkonen

Helle

Kostamo

et al. 2021

Preprint

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Seabed mining is approaching the commercial mining phase across the world's oceans. This rapid industrialization of seabed resource use is introducing new pressures to marine environments. The environmental impacts of such pressures should be carefully evaluated prior to permitting new activities, yet observational data is mostly missing. Here, we examine the environmental risks of seabed mining using a causal, probabilistic network approach. Drawing on a series of interviews with a multidisciplinary group of experts, we outline the cause-effect pathways related to seabed mining activities to inform quantitative risk assessments. The approach consists of (1) iterative model building with experts to identify the causal connections between seabed mining activities and the affected ecosystem components, and (2) quantitative probabilistic modelling to provide estimates of mortality of benthic fauna in the Baltic Sea. The model is used to evaluate alternative mining scenarios, offering a quantitative means to highlight the uncertainties around the impacts of mining. We further outline requirements for operationalizing quantitative risk assessments, highlighting the importance of a cross-disciplinary approach to risk identification. The model can be used to support permitting processes by providing a more comprehensive description of the potential environmental impacts of seabed resource use, allowing iterative updating of the model as new information becomes available.

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Section: Case Study Backgroundmentioning

confidence: 99%

Causal approach to environmental risks of seabed mining

Kaikkonen

Helle

Kostamo

et al. 2021

Preprint

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“…Tingginya angka kecelakaan kerja dapat juga dipastikan karena kecerobohan atau karena kurangnya penerapan dalam keselamatan dalam bekerja. Organisasi internasional menunjukkan ketertarikan yang kuat untuk melaksanakan risiko proses manajemen pengambilan keputusan untuk pencegahan kecelakaan Sehingga dapat meminimalisir kecelakaan pada pekerja [2]. Agar tidak terjadi kerugian pada pekerja maupun perusahaan maka sistem keselamatan bagi pekerja harus diterapkan.…”

Section: Pendahuluanunclassified

Analisis Resiko Kecelakaan Kerja Menggunakan Metode HIRARC PT. SPI

Wahid

Munir

Hidayatulloh

2020

Journal of Industrial View

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“…The quality of AIS data is more reliable than vehicle position data on road transportation since it uses a dedicated Very high frequency (VHF) channel to communicate. As its highly reliability and availability, in recent years, AIS data has been widely leveraged in analyzing navigational risks and maritime safety (Kulkarni et al 2020 ).…”

Section: Introductionmentioning

confidence: 99%

Navigational risk analysis based on GIS spatiotemporal trajectory mining: a case study in Nanjing Yangtze River Bridge waters

Huiyu

2021

Arab J Geosci

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With the continuous growth of the quantity, scale, and speed of vessels in recent years, maritime accidents are posing increasing risks to societies and individuals, especially in narrow inland waterways. Therefore, it is of great significance to analyze navigational risks to ensure the safety of waterborne transportation. In this paper, the navigational risks of Nanjing Yangtze River Bridge (NYRB) waters are investigated based on spatiotemporal mining on massive automatic identification system (AIS) trajectories by using geographic information system (GIS) techniques. A time-series-oriented trajectory processing method is proposed to deal with the historical AIS data in the whole year of 2019. The method adopts a periodic processing strategy to produce traffic density estimation products in multiple temporal scales for supporting spatiotemporal analysis. The proposed method greatly improves the data-processing efficiency and provides a flexible way to deeply understand the vessel behavior patterns in NYRB waters. Then the complete characteristics of the spatial distribution and temporal variation of AIS trajectories are revealed. Based on that, three types of critical navigational risks are discovered, which include the safety distance risk, the pier collision risk, and the traffic congestion risk. Moreover, we find that the greatest risk is existed in small vessels in the flood season, which is worth the most concern.

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Preventing shipping accidents: Past, present, and future of waterway risk management with Baltic Sea focus

Cited by 71 publications

References 110 publications

Causal approach to environmental risks of seabed mining

Causal approach to environmental risks of seabed mining

Analisis Resiko Kecelakaan Kerja Menggunakan Metode HIRARC PT. SPI

Navigational risk analysis based on GIS spatiotemporal trajectory mining: a case study in Nanjing Yangtze River Bridge waters

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