An operational activity-based method to estimate CO2 emissions from container shipping considering empty container repositioning

This paper develops an operational activity-based method to estimate CO₂ emissions from container shipping in contrasts to the traditional aggregated activity-based method. Two case studies investigate the impacts of empty container repositioning policies and port handling capacity on CO₂ emission index. The results show that the aggregated method could well overestimate CO₂ emissions and the operational activity-based method is more appropriate. The paper also demonstrates that high port-handling capacity and efficient empty container repositioning could reduce CO₂ emissions in seaborne container transportation.     

Evaluating the effects of green port policy: Case study of Kaohsiung harbor in Taiwan

The paper evaluates the effectiveness of strategies designed to reduce these pollutants in port areas, based on a newly developed assessment model to calculate emissions. The case study found that the strategy of reducing the ship’s speed to 12 knots is most effective in cutting fuel consumption and costs, as well as emissions. Adopting an onshore power supply system could reduce CO₂ emission by 57.16% and PM by 39.4%. By adopting the strategies of both reduced speed and cold ironing emissions control, a reduction in emissions of 71% to 91% can be achieved with a 20 nautical mile reduced speed zone. Therefore, the goals of reductions in emissions to improve port areas air quality could be achieved through adopting a green port policy in the future.     

Effects of the ‘Belt and Road’ initiative on the wine import logistics of China

China’s Belt and Road (BR) initiative is expected to facilitate international trade between the countries involved. In this study, we review the special requirements of wine logistics and the market growth potential of wine consumption in China. A model minimizing generalized logistical costs is developed and applied to wine imports in China, so that the best candidate cities in which to locate transport gateways and distribution centers can be identified. Our analysis suggests that the most preferred gateways are Shanghai, Tianjin, Guangzhou, and Hong Kong, which all have similar delivery costs. In comparison, Beijing and Chongqing have much higher delivery costs, mainly because they do not have good access to marine transport and/or efficient domestic distribution networks. For long-distance intercontinental transport of large volumes of wine, marine shipping remains the only viable delivery mode. However, wine distribution within China extensively uses air, road, and water transport. Therefore, cities with excellent multi-modal transport services are better positioned to become wine logistics gateways. Our study also highlights the importance of value-added services and good government support, which are important factors that influence distribution costs and quality.     

Situation analysis forecasting: the case of European maritime clusters

Within the literature concerned with aspects of competitiveness, innovation and strategic management of industrial clusters, the body regarding forecasting of strategic management is still nascent. This work aspires to render a contribution within the domain of strategic management forecasting, through the indicative case of European maritime clusters. For this end, a two-tier model is formulated. A quantitative strengths, weaknesses, opportunities, and threats (SWOT) methodology that derives from the fusion of a quondam situation analysis and crosstabs’ theory is generated. This leads to the utilization of the crosstab’s conditional probabilities as transition probabilities; the latter are called to compile the transition matrix of a Markov chain. Through this methodology, and the successive Markov chain’s transition matrices, strategic forecasts are extracted for a devised European maritime cluster case. This work relinquishes a novel application with respect to strategic management forecasting, that provides a dichotomy of practical interpretations and scenarios for quantitative situation analysis. Thus, it may enable effective real-time decision-making for strategic management and/or policy drafting. The situation analysis forecasting model may find applicability in a plethora of practical and theoretical cases, wherein forecasting may be desirable. It may as well pertain to an intrinsic methodology for situation analysis forecasting of maritime clusters.     

基于准动态法的穿梭油轮多点系泊分析

边际油田一般使用穿梭油轮进行原油运输.为减少穿梭油轮系泊的施工成本和难度,提出一种简单的系泊方式,即船尾用缆绳直接系泊于平台上,船首用锚链系泊于海底.基于准动态分析方法,设置风浪流不同方向组合、不同抛锚角以及不同的环境载荷,计算该系泊系统的受力特性和作业的限制工况.结果表明:该系泊系统在30°抛锚角下对环境力耐受程度最好;在波浪方向一定时,横流对系泊系统的影响比其他情况大,考虑系泊安全时进行风浪流不同方向组合是非常必要的;在环境条件已知且良好时,该系泊系统具有良好的适用性和经济性.     

对水运工程钢筋混凝土结构实体保护层作用的认识

钢筋腐蚀是造成水运工程钢筋混凝土破损的主要原因之一，混凝土保护层是保证钢筋延迟开始腐蚀的重要屏障。认识保护层的主要作用，对提高水运工程混凝土结构使用寿命具有重要意义。     

数据挖掘技术在深度防御网络安全体系中的运用

随着攻击技术的日新月异及攻击数量的与日俱增,提高网络安全深度防御体系的效力是一个亟待解决的问题。将数据挖掘技术应用于网络安全深度防御体系中,在海量数据中挖掘有效信息、提高防御能力是一个新的思路。文章介绍了网络安全深度防御体系的概念及数据挖掘技术在网络安全深度防御体系构建中的应用。     

军用信息保障系统安全风险评估研究

信息系统安全风险评估工作是信息系统安全管理的基础和前提.本文在充分论述军用信息保障系统安全重要性的基础上,针对其安全风险评估问题,阐述了相关定义,给出了军用信息保障系统安全风险评估的思路,并着重介绍了基于系统综合、灰色理论、模糊理论和神经网络的风险评估方法,为定义系统安全需求、制定有效的安全风险控制策略提供了理论依据.     

浅谈金融危机下海事监管对策

文中通过透视2008年金融危机所引起的航运业的潮起潮落,指出了航运业与造船业在不景气的情况下所存在的问题,并分析了在这特殊时段海事部门应当如何做好监管与服务工作,提出了笔者一点浅显的意见。     

IMO自愿审核机制下我国海事监管对策研究

国际海事组织（IM0）为了促进国际海上安全和海洋环境保护公约的有效实施,于2006年开始推行“IMO成员国自愿审核机制”。文中第一部分简要介绍了IMO自愿审核机制,分析了该机制的产生原因和运作过程;第二部分分析了该机制的实施可能给中国海事监管工作带来的影响;第三部分通过对自愿审核机制的认识,尝试性地提出我国海事主管机关应对自愿审核的对策性建议。