Risk assessment of inland waterborne transportation using data mining

Wang, Zhaochen; Yin, Jingbo

doi:10.1080/03088839.2020.1738582

Cited by 28 publications

(7 citation statements)

References 20 publications

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“…However, this approach does not seem to have significantly impacted accident and safety theory or practice, as most of the literature still focuses on individual factors as causes of maritime accidents. For instance, individual fatigue (Stratmann and Boll 2016 ), situation awareness (Grech et al 2002 ; Razavi et al 2014 ; Stratmann and Boll 2016 ), slip or skill/knowledge deficiencies (Yim 2017 ) and very rarely labour conditions (Wang et al 2021 ), unsafe supervision (Shi et al 2021 ), seafarer competence/skills (Yim 2017 ; Wang and Yin 2020 ), and at the team level individual crew error (Changhai and Shenping 2019 ). Only a very few studies are beginning to consider errors at the organisational level (Bhardwaj et al 2022 ).…”

Section: Enlarging the Scope Of Causes Of Maritime Accidents: Moving ...mentioning

confidence: 99%

“…Generally, causes of accidents are not considered at a level beyond that of the ship, with a few rare exceptions. Some examples confirming these exceptions are the deficiencies of Port State Control (PSC) (Fan et al, 2018 ; Wang et al 2021 ); violation of regulations (but it is unclear whether these were due to the decision-making of the Captain and/or shipowner) (Shi et al 2021 ); insufficient government supervision of ship owners and shipping companies (Wang and Yin 2020 ). Thus, there appears to be a gap in our knowledge and understanding of the causes of accidents that largely neglect the role of the broader ship ecosystems (communication with other ships, communication with the shore, maintenance and investment choices made by the shipowner, managerial choices such as the number and level of qualification of the crew, manning and navigation decisions made by the shipowner/port agents to the ship) as risk factors.…”

Section: Enlarging the Scope Of Causes Of Maritime Accidents: Moving ...mentioning

confidence: 99%

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A holistic view of maritime navigation accidents and risk indicators: examining IMO reports from 2011 to 2021

et al. 2023

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This paper investigated the risk indicators in maritime accidents and how they are considered within the reporting of maritime accidents, drawing on ten years of International Maritime Organisation (IMO) (2011–2020) accident reports. It highlighted the lack of consistent findings in studies exploring the role of vessel characteristics in maritime accidents, which often result from different methods, databases, techniques and motivations used by each respective study for gathering and analysing data. Furthermore, as human error continues to be highlighted as the top-cited cause of accidents, this study examined the qualitative content of IMO accident reports in-depth to broaden our understanding of maritime accident risk factors. Using a data-driven approach, statistical (ANOVA) and advanced text-mining techniques (using IRAMUTEQ software) were applied to extract meaning from the semi-structured and unstructured narrative descriptions that constitute most of the national administrations’ investigation reports to the IMO. Building on the text analysis of the IMO accident data, we proposed the Accident Maritime Ecosystem framework, which incorporates individuals, the ship organisation (on board), the internal ship ecosystem (on board and onshore), the external ship ecosystem (external factors) and the global maritime ecosystem (policies and regulations); moreover, it identifies these entities as risk factors in maritime accidents. The findings illustrate how accident reporting is largely human-centric and that as maritime transportation is becoming increasingly complex, there is a need for policy and organisational decision-makers to incorporate a broader scope of actors when considering maritime risk factors, which can be achieved by using the AME framework as a guideline.

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Section: Enlarging the Scope Of Causes Of Maritime Accidents: Moving ...mentioning

confidence: 99%

Section: Enlarging the Scope Of Causes Of Maritime Accidents: Moving ...mentioning

confidence: 99%

A holistic view of maritime navigation accidents and risk indicators: examining IMO reports from 2011 to 2021

et al. 2023

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“…Air transportation faces many challenges including pollution [24,25], high costs [26], high safety [27,28] and security risks [29,30], huge capital investments, fuel requirements [31], and others. Marine transportation also faces many challenges such as pollution, security risks [32][33][34], increasing costs, and environmental regulations [35,36]. These challenges are threatening the sustainability of our societies, economies, and our planet.…”

Section: Transportation and Challengesmentioning

confidence: 99%

“…Marine transportation accounts for 80-90% of worldwide trade, transporting about 10 billion tonnes of cartons and solid-liquid weighty cargo across the world's oceans each year [363]. Some research has been conducted on marine transportation trade [364,365], waterway or marine transportation systems [33,34], waterway traffic flow modelling [366], and so on,…”

Section: Transportation Modesmentioning

confidence: 99%

Deep Journalism and DeepJournal V1.0: A Data-Driven Deep Learning Approach to Discover Parameters for Transportation

et al. 2022

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We live in a complex world characterised by complex people, complex times, and complex social, technological, economic, and ecological environments. The broad aim of our work is to investigate the use of ICT technologies for solving pressing problems in smart cities and societies. Specifically, in this paper, we introduce the concept of deep journalism, a data-driven deep learning-based approach, to discover and analyse cross-sectional multi-perspective information to enable better decision making and develop better instruments for academic, corporate, national, and international governance. We build three datasets (a newspaper, a technology magazine, and a Web of Science dataset) and discover the academic, industrial, public, governance, and political parameters for the transportation sector as a case study to introduce deep journalism and our tool, DeepJournal (Version 1.0), that implements our proposed approach. We elaborate on 89 transportation parameters and hundreds of dimensions, reviewing 400 technical, academic, and news articles. The findings related to the multi-perspective view of transportation reported in this paper show that there are many important problems that industry and academia seem to ignore. In contrast, academia produces much broader and deeper knowledge on subjects such as pollution that are not sufficiently explored in industry. Our deep journalism approach could find the gaps in information and highlight them to the public and other stakeholders.

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“…Safety in maritime transportation is based on the coordinated operation of the "humanship-management-environment" system [9]. The purpose of maritime safety management is to avoid unsafe acts of seafarers, eliminate unsafe conditions of objects, reduce unsafe management in the organization and control unsafe factors in the environment.…”

Section: Introductionmentioning

confidence: 99%

Risk Evolution Analysis of Seafarers’ Unsafe Acts in Maritime Accidents Based on Directed Weighted CN

Lan,

2024

Applied Sciences

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Seafarers’ unsafe acts as the direct causes of maritime accidents are considered to be the result of the interaction between complex and dynamic influencing factors. Identifying the risk evolution characteristics and paths of seafarers’ unsafe acts has always been a challenge in maritime safety management. For this purpose, the present study introduces association rule technique into complex network to develop a directed weighted interaction network of seafarers’ unsafe acts and their influencing factors. Through global network topology analysis and local network community detection, the risk evolution characteristics of seafarers’ unsafe acts in maritime accidents are analyzed from a multidimensional perspective. The results indicate that the developed network has small-world characteristics, and the top 10 critical nodes all belong to seafarers’ unsafe acts, of which failure to make proper sound and light signals achieves the highest PageRank value. Results from this study would help maritime stakeholders to understand the evolution mechanism of seafarers’ unsafe acts and develop safety management strategies for interrupting the risk propagation of seafarers’ unsafe acts.

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Risk assessment of inland waterborne transportation using data mining

Cited by 28 publications

References 20 publications

A holistic view of maritime navigation accidents and risk indicators: examining IMO reports from 2011 to 2021

A holistic view of maritime navigation accidents and risk indicators: examining IMO reports from 2011 to 2021

Deep Journalism and DeepJournal V1.0: A Data-Driven Deep Learning Approach to Discover Parameters for Transportation

Risk Evolution Analysis of Seafarers’ Unsafe Acts in Maritime Accidents Based on Directed Weighted CN

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