Big data and artificial intelligence in the maritime industry: a bibliometric review and future research directions

ABSTRACT

This study provides a bibliometric review of 279 studies on the applications of big data and artificial intelligence (AI) in the maritime industry, published in 214 academic outlets, authored by 842 scholars. We extracted bibliographical data from the Web of Science database and analysed it using the Bibliometrix tool in R software. Based on citation analysis metrics, we revealed the most influential articles, journals, authors and institutions. Using the bibliographic coupling methodology, we identified four underlying research clusters: (1) digital transformation in maritime industry, (2) applications of big data from AIS, (3) energy efficiency and (4) predictive analytics. We analysed these clusters in detail and extracted future research questions. Besides, we present research collaboration networks on the institution and author level.     

内河交通安全视角下农用船舶监管的法律思考

我国用于农业生产、满足农民生活需要的非经营性船舶分布广泛、数量庞大。由于现行国家层级的立法存在缺位,地方层级的立法差异过大,管理部门职责不清,难以形成有效地监管合力,为水上交通安全埋下了重大隐患。为了更好地管理农用船舶,文中提出通过农用船舶概念法律化、管理主体明确化、技术标准规范化、航行区域特定化、安全管理地方化的建议,以保证法律之间的协调,促进农用船舶监管秩序的形成。     

Effects of regulation-driven green innovations on short sea shipping's environmental and economic performance

Despite its pivotal role in European trade, today’s short sea shipping (SSS) industry faces the dual challenge of lessening its environmental footprint while improving its economic performance. To reduce the pollution caused by their operations, SSS companies are required to comply with increasingly stringent environmental regulations enacted by global and regional authorities such as the European Union and the International Maritime Organization. However, the companies tend to regard those regulations as imposing an additional burden of cost that compromises their capacity to enhance their economic performance. This paper examines the impact of external institutional driver namely regulatory pressure on the adoption of green innovations in SSS and in turn, the impact of those innovations on the environmental and economic performance of SSS companies. To investigate the hypothesised relationships of those constructs, a structural equation model was developed and tested with data from a survey conducted amongst 101 short sea shipping companies headquartered in Europe. As detailed in the paper, the analysis revealed that regulatory pressure has generated green innovations that have enhanced the environmental and economic performance of European SSS companies and, as a result, led to a win–win situation for all parties involved. The paper discusses what those findings imply for SSS firm managers and policymakers who seek to improve the environmental or economic performance of Europe’s SSS industry.     

ANFIS model for assessing near-miss risk during tanker shipping voyages

Adaptive neuro-fuzzy inference system (ANFIS) was applied to predict the risk of near-miss incidents during tanker shipping voyages. Firstly, near-miss incidents recorded by a global tanker shipping management company were analysed. Four variables—type of operation, vessel’s location, on-board position, and harm potential were selected to train and predict the risk levels of near-miss incidents. The selected variables were found to be correlated with the observed frequency at three risk levels, namely low, medium and high. Gravity factor (GF) was calculated using the frequency of the categories in each variable and their associated risk levels. The calculated GF values and the risk levels of near-miss incidents were used as input values in the ANFIS model. Triangular, Trapezoidal and Gaussian membership functions were used. Subsequently, fuzzy logical theory and artificial neural networks were applied to train the data. Causal factors in terms of direct contributory factors, indirect contributory factors and root contributory factors to the near-miss incidents were analysed. Risk control measures were also proposed to improve safety during tanker shipping.     

Integrating multi-stage data envelopment analysis and a fuzzy analytical hierarchical process to evaluate the efficiency of major global liner shipping companies

In this study, we establish a multi-stage data envelopment analysis model to evaluate the efficiency of global liner shipping companies (LSCs). Because conventional solution procedures cannot guarantee the uniqueness of solutions, in this study, we specifically devise a new two-phase algorithm to overcome this problem. The first phase ranks the priority of all stages by applying fuzzy analytical hierarchical process. The second phase then solves the efficiency score for each stage according to its priority. We established and empirically tested a three-stage research model based on data collected from the Containerization International Year Book, the Alphaliner website and annual LSC reports for the year 2012. The results show that the proposed algorithm not only determines unique solutions for the efficiency scores but also determines the priority order of the stages involved in this process. Taking advantage of the proposed model and algorithm, LSCs can effectively locate bottlenecks in their production processes and further improve them by adjusting the values of the corresponding input and output variables. In addition, the priority order of the stages obtained from the empirical study can also help LSCs allocate their resources.     

三体船随浪中的破舱稳性研究

以一三体船型为例,研究了三体船型在波浪中的破舱稳性。对不同的破舱位置和侧体位置的多种方案进行了计算,结果表明:侧体位置不同时,最危险的破舱位置亦不同,并且破舱位置对稳性损失的影响随着侧体横向位置的增大而减小;侧体位置位于船舯时破舱稳性较好,侧体横向距离越大破舱稳性越好。     

新长公司火车渡轮电气设计特点

新长公司的"新长号"是一艘航行于长江A、B航区的火车渡轮,需要满足内河规范的要求。其尾部和首部皆有机、桨和舵的配置。因此,本船的电站配置及系统控制与常规钢质海船有所不同。介绍其在电气设计方面的特点。     

北极航运及冰区船舶主机功率探讨

简要介绍北极地区航运情况与特点,分别利用芬兰-瑞典冰级规范、芬兰-瑞典冰级规范导则及美国船级社抗冰级船舶指导说明,对一艘阿芙拉型(Aframax)油轮进行1A冰级主机功率加强计算,指出规范计算1A冰级阿芙拉型油轮的不足。讨论虽然针对1A冰级船舶,但对于PC7级船舶的主机功率计算也有指导意义。     

钢护筒与钢筋混凝土联合受力的内河大水差架空直立式码头力学特性分析*

为适应三峡175 m蓄水后复杂地质、水文和施工环境条件下码头建设需要,提出钢护筒与钢筋混凝土联合受力的内河大水差架空直立式结构,并建立考虑钢护筒和钢筋混凝土联合受力的数值分析模型。通过与现场试验测试数据对比验证模型可靠性,进而提出基于最不利单元搜索的单位荷载组合法,并利用该法对复杂工况条件的该类码头力学特性进行探讨。通过大量变得参数的数值计算,得到大水差码头复杂荷载环境下的力学特性、薄弱环节及其优化设计方案。     

大连港内陆“散改集”的技术创新

为提高内陆散粮的装卸效率,大连港集装箱发展有限公司开发了"散改集"装卸工艺,并研发了门式倾转机。介绍内陆"散改集"主要工艺和该公司对工艺的改革和创新。介绍了门式倾转机的功能与特点。该研究成果取得良好的经济效益和社会效益,可为其它港口和行业提供技术借鉴。