Maritime Governance and International Maritime Organization Instruments Focused on Sustainability in the Light of United Nations’ Sustainable Development Goals

Christodoulou, Anastasia; Fernández, Jonatan Echebarria

doi:10.1007/978-3-030-69325-1_20

Cited by 12 publications

(7 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To the best of the authors' knowledge, there is a wealth of research on sentiment analysis using deep learning but not much on the combined impact of CNN and LSTM techniques. This technique fills a gap in the literature by providing a novel strategy for using sentiment analysis in the law, and it does so by focusing on the application of deep learning to the study of Canadian maritime case law [11]. Legal sentiment analysis has the potential to completely alter how lawyers and judges examine massive collections of case law.…”

Section: Research Significancementioning

confidence: 99%

Enhancing Legal Sentiment Analysis: A Convolutional Neural Network–Long Short-Term Memory Document-Level Model

Abimbola,

de La Cal Marin,

Tan

2024

MAKE

View full text Add to dashboard Cite

This research investigates the application of deep learning in sentiment analysis of Canadian maritime case law. It offers a framework for improving maritime law and legal analytic policy-making procedures. The automation of legal document extraction takes center stage, underscoring the vital role sentiment analysis plays at the document level. Therefore, this study introduces a novel strategy for sentiment analysis in Canadian maritime case law, combining sentiment case law approaches with state-of-the-art deep learning techniques. The overarching goal is to systematically unearth hidden biases within case law and investigate their impact on legal outcomes. Employing Convolutional Neural Network (CNN)- and long short-term memory (LSTM)-based models, this research achieves a remarkable accuracy of 98.05% for categorizing instances. In contrast, conventional machine learning techniques such as support vector machine (SVM) yield an accuracy rate of 52.57%, naïve Bayes at 57.44%, and logistic regression at 61.86%. The superior accuracy of the CNN and STM model combination underscores its usefulness in legal sentiment analysis, offering promising future applications in diverse fields like legal analytics and policy design. These findings mark a significant choice for AI-powered legal tools, presenting more sophisticated and sentiment-aware options for the legal profession.

show abstract

Section: Research Significancementioning

confidence: 99%

Enhancing Legal Sentiment Analysis: A Convolutional Neural Network–Long Short-Term Memory Document-Level Model

Abimbola,

de La Cal Marin,

Tan

2024

MAKE

View full text Add to dashboard Cite

show abstract

“…In addition to emissions that have direct effects on human health, such as PM, SO2, and NOx, the International Maritime Organization (IMO) has conducted intensive and effective studies on reducing CO2 emissions. IMO aims to reduce greenhouse gas emissions from ships by 40 % by 2030, and by 70 % by 2050, compared to 2008 (Christodoulou & Echebarria, 2021;IMO, 2018). Christodoulou et al stated in their study that the tax to be applied according to the emission values of ship fuels will be an important factor in reducing greenhouse gas emissions .…”

Section: Literature Reviewmentioning

confidence: 99%

Emission and environmental cost estimation of ferries operating in Lake Van

Bilgili

Şahin

2023

Marit. Technol. Res.

View full text Add to dashboard Cite

Ships, which are the essential elements of maritime transportation, have an indispensable role in world freight and passenger transportation. Besides sea routes, the role played by ships in inland water transport is also very important. In addition to these important economic effects, ships are also a major pollutant source. These emissions have negative effects on human health, cities, and the environment, as well as causing atmospheric pollution. Lake Van is Turkey's largest inland lake, with an area of 3,713 km2, and is an important inland waterway, with an active ferry network operating between Van and Tatvan-Bitlis. In this study, emission calculations of these ferries operating in Lake Van were carried out; it was aimed to develop an emission inventory for ship-related air pollution on Lake Van. Additionally, the environmental (social) costs of these emissions were estimated to assess the total impacts. One year of ship operation data was used for the calculations, and the engine power method was preferred, according to the available data. According to the calculations, the ship-originated emission inventory on Lake Van was determined to be 36,140.54, 107.84, 29.15, 17.49, 990.95, and 11.66 t for CO2, SO2, CO, HC, NOx, and PM, respectively. The total environmental costs of these emissions were calculated to be 40,046,340 €. These results are important in terms of determining the environmental effects of transportation activities in Lake Van, which have not been studied before. Highlights The study covers the emission and environmental cost estimation of maritime transportation in Lake Van The total emissions are estimated at 37,297.63 t The total environmental cost is estimated at 40,046,340 € It is recommended that IMO regulations should strictly implemented in inland waters

show abstract

“…The maritime industry can potentially contribute to UN SDGs [27]. Christodoulou [28] stated that the focus of the industry is on certain UN SDGs related to maritime safety and security, marine pollution, marine environment, and technical cooperation [28]. Literature suggests that cruise liners and ports can contribute to the implementation of the UN SDGs [29] and Di Vaio et al [11] provide an overview of relevant literature.…”

Section: Literature Reviewmentioning

confidence: 99%

“…EMSA [31] emphasized the gradual and safe resumption of cruise ships operations in the European Union during and post the COVID pandemic in a socially, economically, and environmentally manner [31]. A core priority of the International Maritime Organization (IMO) is the global partnership for sustainable development (UN SDG #17) [28]. The sustainable development of maritime and shipping industries is significant for meeting the IMO-led strategy on sustainable development within the context of the 2030 Agenda [32].…”

Section: Literature Reviewmentioning

confidence: 99%

“…To manage vulnerabilities derived from uncertainties (i.e., COVID pandemic), prepare the organization (i.e., cruise industry) against failure, and thus provide decision support, required actions should be taken into account. Taneja [28] distinguished efficacious actions to deal with opportunities and vulnerabilities in port planning. The actions are derived from Assumption Based Planning (ABP) [37] and Adaptive Policy Making (APM) [38,39].…”

Section: Planning Adaptive Actionsmentioning

confidence: 99%

See 1 more Smart Citation

Cruising Under and Post the COVID Pandemic: Toward Realization of the United Nations’ Sustainable Development Goals

Eskafi

Taneja

Úlfarsson

2022

JMSE

View full text Add to dashboard Cite

Maritime sectors have always dealt with uncertainties and disruptions. The COVID pandemic confronted the cruise industry with profound, wide-ranging, and lasting challenges while disrupting normal operations. Although the cruise industry contributes to the implementation of the United Nations Sustainable Development Goals (UN SDGs), resumption and sustainable cruising requires the industry to adapt to the challenges presented. To this end, the paper suggests adaptive actions for the cruise sector to respond to the pandemic and links the actions to the UN SDGs to highlight their sustainable contributions. A system thinking approach is applied and a literature review is conducted to identify suitable adaptive actions. This paper shows the importance of UN SDGs 3, 4 and, in particular, 17 for sustainable cruising. The results of this paper provide support for informed decision-making to increase the cruise industry’s sustainability. This paper recommends that stakeholders: 1- identify drivers and barriers of sustainable cruising, 2- adapt to changes and embrace the UN SDGs, as they provide a platform for realizing sustainability, and 3- use educational programs to improve and transfer knowledge on sustainable cruising between academia and policymakers.

show abstract

Maritime Governance and International Maritime Organization Instruments Focused on Sustainability in the Light of United Nations’ Sustainable Development Goals

Cited by 12 publications

References 39 publications

Enhancing Legal Sentiment Analysis: A Convolutional Neural Network–Long Short-Term Memory Document-Level Model

Enhancing Legal Sentiment Analysis: A Convolutional Neural Network–Long Short-Term Memory Document-Level Model

Emission and environmental cost estimation of ferries operating in Lake Van

Cruising Under and Post the COVID Pandemic: Toward Realization of the United Nations’ Sustainable Development Goals

Contact Info

Product

Resources

About