《大湄公河次区域便利货物及人员跨境运输协定》对铁路的启示

《大湄公河次区域便利货物及人员跨境运输协定》是我国参与大湄公河次区域公路跨境运输国际交流合作的主要法律文件,也是"一带一路"倡议的重要成果和有力抓手。对该协定的发展沿革、与我国相关的内容、机构保障等方面进行概述,分析协定体系框架的主要内容和特点,研究铁路和公路便利化运输规则的差异,提出对我国参与铁路便利化跨境运输协定工作的相关启示。     

青岛与大连建设航运中心核心竞争力比较研究

本文在区域经济学和核心竞争力理论的基础上，探讨了航运中心核心竞争力的评价体系，采用了模糊综合评价技术对青岛和大连两个城市建设航运中心的核心竞争力进行了分析，通过专家评分的方式得出青岛市和大连市的各项指标分数及综合分数并分析了青岛市和大连市建设航运中心过程中的优势和不足。最后，提出了航运中心核心竞争力培育模式的模型。     

航海类专业特色素质教育的探讨

分析了高等航海教育面临的国内外航运形势,就航海教育的现状及存在的主要问题,提出了加强特色素质教育的观点,并给出了具体的措施,即重点培养学生的公民意识、实践技能、英语应用能力、团队协作精神.     

精益航运成本管理探讨

目前航运公司的成本管理以追求本企业利润为导向,存在诸多不足,不利于企业的长远发展。在精益管理的视角下,航运公司成本管理应该以追求为客户创造价值为导向,实现最小价值链成本,通过各方的“共赢”来谋求企业的长远发展。     

精细操作 适应定线——长江船舶定线制航路与驾驶技术研究

文章针对长江江苏段定线制航路的引入,解读定线制规定的正确运用,分析船队航法与操作习惯的改变,研究适应定线制航路通行的安全对策。     

如何做好岚山港危险品船舶的监督管理工作

随着岚山港危险货物的大量增加,做好危险品船舶的审批工作、加强危险品船舶与船公司的联系,认真查验船舶证书、文书,加强现场监督检查、确保船舶作业安全,加强业务研讨、提高监管人员的素质等措施,可有效提高对危险品船舶监督管理的水平,值得同行借鉴.     

陕西省铁路网规模测算研究

铁路网规模测算是铁路网规划的主要内容。该文在分析铁路网规模影响因素及常用预测方法的基础上,采用连通度法、国际比较法、多元回归法和运输负荷法对陕西省铁路网规模进行测算研究和修正,得出陕西省铁路网未来年的适宜规模,为科学地规划铁路网提供理论依据和决策参考。     

基于系统动力学的干散货航运市场运力供给研究

运力过剩是现阶段国际干散货航运市场面临的重要难题,引起干散货航运市场持续低迷.为了揭示干散货航运市场运力供给的发展,阐述了干散货航运市场运力供给现状以及未来的发展趋势,应用系统动力学方法建立未来运力供给模型,对影响干散货航运市场运力供给的各种因素及相互制约关系进行了分析,提出了应对运力过剩问题的若干调整策略.     

Impacts of the Belt and Road Initiative in the Indian subcontinent under future port development scenarios

ABSTRACT

The aim of this paper is twofold: the first is to assess the extent to which current port development initiatives contribute to securing the status of the Port of Colombo as a regional transshipment (T/S) hub to serve the Indian subcontinent; and the second is to generate plausible future development scenarios for the maritime industry in the context of the Belt and Road Initiative (BRI). A scenario analysis method is applied to examine the past trends and to build future development scenarios. The results showed that major Indian ports have experienced a significant growth in cargo volumes and vessel traffic. South and East Indian coastal ports continue to use the Port of Colombo as a T/S port in tandem with the corridors connected to the Indian Ocean. Scenario analysis highlights the growing importance of BRI-centric land-based economic corridors, which would generate a large amount of cargos from hinterlands up to China. This would be further fueled through the Great Mekong region-driven industrialization, which would add to the west-bound maritime cargo volume. The paper concludes that the increased capital influx from China would more likely to result in a substantial development of the present port and road/rail infrastructure in Sri Lanka.     

Neural network-based fuel consumption estimation for container ships in Korea

ABSTRACT

Due to the outstanding strength of advanced machine-learning techniques, they have become increasingly common in predictive studies in recent years, particularly in predicting ship energy performance. In constructing predictive models, prior studies have mostly employed vessels’ technical parameters to establish machine-learning algorithms. To bridge this research gap and enable wider applications, this paper presents the design of a multilayer perceptron artificial neural network (MLP ANN) as a machine-learning technique to estimate ship fuel consumption. We utilized the real operational data from 100–143 container ships to estimate fuel consumption for five different container ships grouped by size. We compared the performance of two ANN models and two multiple-regression models. Four input parameters (sailing time, speed, cargo weight, and capacity) were included in the first ANN and the first regression model, while the other two models only consider two inputs from physical function. The mean absolute percentage error of the ANN models with four inputs was the smallest and less than those in extended statistical models, demonstrating the MLP’s superiority over the statistical model. The MLP ANN model can thus be applied to confirm the effectiveness of the slow-steaming method for achieving energy efficiency.