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.     

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.     

Effect of a speed reduction of containerships in response to higher energy costs in Sulphur Emission Control Areas

The objective of this paper is to explore the possible consequences of the future low-sulphur fuel requirements in Sulphur Emission Control Areas (SECA) on vessel speed, from the standpoint of the container shipping industry. Rational energy use, speed reduction, and revenues are closely related in the container shipping sector because speed reductions may provide substantial energy and cost savings. The operators could consider reducing their speed in SECA in order to save on fuel that will become relatively expensive. However, to maintain a weekly frequency without adding new ships, such a behaviour implies that the required speed at sea outside the SECA area increases. This paper aims to investigate if such a difference in speed is cost-effective, and if the increase in speed outside SECA may result in an increase in CO₂ emissions of the total cycle. We propose a cost model that estimates the cost-minimising combination of speeds inside and outside SECA, and the resulting CO₂ emissions of the liner service. Applying this model to representative liner services serving North Europe, we find that differentiating speed accordingly slightly decreases total costs and increases CO₂ emissions in a similar way. The results are sensitive to the price of low-sulphur fuels, the part of the cycle in SECA and the number of ships deployed in the service.     

发展广州船舶交易市场的思考

简述了大力发展广州船舶交易市场的意义,分析了广州船舶交易市场发展的有利条件和现状,探讨了市场发展缓慢的原因,为寻求发展策略提供思路.     

关于我国航运企业航运附属公司注册地税务筹划问题的探讨

税收支出是企业经营活动中的一项重要支出。对我国航运企业进行税务筹划研究,有利于降低我国航运企业税负水平,提高我国航运企业的国际竞争力。     

船舶防海盗综合机制研究

2010年全球海盗兴风作浪,被劫持船舶及人质数量均创历史新高。为引起国际社会对海盗问题的关注,国际海事组织将2011年世界海事日主题定为＂协调一致应对海盗＂。通过分析2010年海盗发展态势,本文从主管机关、航运企业、船舶及海军四方面提出切实可行的应对措施,减少海盗对航运业的影响,降低被劫持的风险。     

Game-theoretical models for competition analysis in a new emerging liner container shipping market

This paper develops three game-theoretical models to analyze shipping competition between two carriers in a new emerging liner container shipping market. The behavior of each carrier is characterized by an optimization model with the objective to maximize his payoff by setting optimal freight rate and shipping deployment (a combination of service frequency and ship capacity setting). The market share for each carrier is determined by the Logit-based discrete choice model. Three competitive game strategic interactions are further investigated, namely, Nash game, Stackelberg game and deterrence by taking account of the economies of scale of the ship capacity settings. Three corresponding competition models with discrete pure strategy are formulated as the variables in shipment deployment are indivisible and the pricing adjustment is step-wise in practice. A ɛ -approximate equilibrium and related numerical solution algorithm are proposed to analyze the effect of Nash equilibrium. Finally, the developed models are numerically evaluated by a case study. The case study shows that, with increasing container demand in the market, expanding ship capacity setting is preferable due to its low marginal cost. Furthermore, Stackelberg equilibrium is a prevailing strategy in most market situations since it makes players attain more benefits from the accommodating market. Moreover, the deterrence effects largely depend on the deterrence objective. An aggressive deterrence strategy may make potential monopolist suffer large benefit loss and an easing strategy has little deterrence effect.     

The possible designation of the Mediterranean Sea as a SECA: A case study

In view of the ongoing discussions concerning the possible designation of the Mediterranean Sea as a Sulphur Emission Control Area (SECA), a modal split model was applied to a case involving the transportation of consolidated cargoes between Thessaloniki, Greece and industrial hubs of northern Germany. A road-only option was assessed against a combined-transport route involving a ferry (Greece–Italy) and a truck-on-train (Italy–Austria) service. The logit model used considers two variables as determinants of the modal selection: transport cost and time. The data are derived from interviews with a small transport service provider, typical for Greece, and are based on actual trips made (revealed preferences). The results predict that the designation of the Mediterranean as a SECA will cause a modal shift in favour of the road-only route by 5.2%, which under certain assumptions can reach 17.1%. However, the environmental implications of the resulting modal choices, calculated through the EcoTransIT World web based tool, are positive in relation to all emissions examined. This is attributed to the longer distance of the combined-transport option in comparison to the road-only one and, the poor environmental performance of the Ro-Pax vessels basically due to the need to maintain a relatively high speed.