Characteristics of low-frequency motions of ships moored inside ports and harbors on the basis of field observations

In order to understand characteristics of low-frequency motions of ships moored inside ports and harbors, analysis on actual cargo handling logbook of stevedoring services company, including events of interruption of cargo handling, and countermeasure for ship mooring problems are investigated by field observations at two ports and numerical simulation on moored ship motions. First model port concerns with interruption of cargo handling due to the low-frequency motions. Second model port relates to a resonant effect of long-period waves or harbor oscillations, and its countermeasure by mooring system. From the investigation, it is confirmed that the low-frequency motions of ships are induced by a resonance between surge motions and long-period waves or harbor oscillations and an asymmetry in the mooring system, and affect safe ship mooring and operation efficiency of cargo handling in ports and harbors significantly.     

Studying port selection on liner routes: An approach from logistics perspective

The research aims to study the port selection in liner shipping. The central work is to set up a model to deal with port choice decisions. The model solves three matters: ports on a ship’s route; the order of selected ports and loading/unloading ports for each shipment. Its objective is to minimize total cost including ship cost, port tariff, inland transport cost and inventory cost. The model has been applied in real data, with cargo flows between the USA and Northern Europe. Afterwards, two sensitive analyses are considered. The first assesses the impact of a number of port calls on the total cost which relates closely to the viability of two service patterns: multi ports and hub & spoke. The second analyzes the efficiency of large vessels in the scope of a logistics network. The overriding result of this research is to indicate the influence of logistics factors in the decision of port choice. The research emphasizes the necessity to combine different factors when dealing with this topic, or else a result can be one-sided.     

Productivity change in Nigerian seaports after reform: a Malmquist productivity index decomposition approach

ABSTRACT

During the 1990s, Nigerian seaports were considered inefficient, unsafe due to massive cargo theft (wharf rat phenomenon) and one of the most expensive port systems in the world. This resulted in long turnaround times for ships and increased container dwell times. As a result, port operations were transferred to the private sector through concession contracts. This paper employs a Malmquist productivity index (MPI) technique to benchmark pre-and post-reform total factor productivity growth of the six major Nigeria seaports (Apapa, Calabar, Onne, Port Harcourt, TinCan Island and Warri) for the period 2000–2011 which represents six years before (2000–2005) and six years after (2006–2011) the reform. The results indicate progress in technical efficiency of the ports after reform but deterioration in technological progress. Overall productivity growth was higher in the pre-concession period compared to the post-concession period. The source of pre-concession period productivity growth was technological progress while the change in productivity of the post-concession period is generated by an increase in scale efficiency. This suggests that concessionaires have not brought in the much anticipated investment in modern technology to drive port efficiency. The ports of Calabar and Apapa experienced the highest productivity growth while lowest result was Onne.     

Research on probability distribution of port cargo throughput

In order to more accurately examine developing trends in gross cargo throughput, we have modeled the probability distribution of cargo throughput. Gross cargo throughput is determined by the time spent by cargo ships in the port and the operating efficiency of handling equipment. Gross cargo throughput is the sum of all compound variables determining each aspect of cargo throughput for every cargo ship arriving at the port. Probability distribution was determined using the Wald equation. The results show that the variability of gross cargo throughput primarily depends on the different times required by different cargo ships arriving at the port. This model overcomes the shortcoming of previous models： inability to accurately determine the probability of a specific value of future gross cargo throughput. Our proposed model of cargo throughput depends on the relationship between time required by a cargo ship arriving at the port and the operational capacity of handling equipment at the port. At the same time, key factors affecting gross cargo throughput are analyzed. In order to test the efficiency of the model, the cargo volume of a port in Shandong Province was used as an example. In the case study the actual results matched our theoretical analysis.     

The size effect of a port on the container handling efficiency level and market share in internation transshipment flow

This study examines the relationship between the size of a port, its efficiency increase and the performance growth in the transshipment market. The hypothesis tested is that the bigger size of a port would increase the market share of the port in container transshipment; only when the size effect guarantees better ‘relative’ container handling efficiency in competing port system where the port belongs. To verify the hypothesis, this study carries out two analyses. First, the overall efficiency change of major Asian ports is examined through stochastic frontier analysis (SFA)—this produces the relative efficiency indices of the ports. Second, the relationship between efficiency indices and container transshipment volumes is studied through panel data analysis. From these analyses, it is observed that larger Asian ports show better cargo handling efficiency in relative terms; they also record bigger market share in container transshipment, while the size effect of the ports starts to play a factor when the annual container throughput reaches 5 million twenty-foot equivalent units (TEU).     

Factoring a real value of cargo in port investment and funding decisions

Ports are marine gateways to economic activities. Ports’ ability to perform services depends on their facilities, harbor conditions, and other factors. Generally, ports have control over their facilities but must compete for funding to improve them. As for waterways, in the U.S., a Harbor Maintenance Trust Fund was established to fund dredging, which levies a 0.125% cargo value tax on most shippers using U.S. coastal and Great Lakes harbors. Yet, commonly, a gross tonnage metric is used to allocate the fund’s resources, resulting in under-maintenance of some harbors. This, reportedly, deters additional port funding and hinders valuable commerce. Supplemental economic metrics, such as value of commerce or cargo, can improve port financing decisions, but such data is not readily available. Container ports collect cargo value data in nominal terms, but bulk ports do not. When making economic decisions, however, real values must be used. Further, when allocating resources, decision-makers must be able to assess ports over time and relative to each other. Conforming to these criteria, this paper develops three port financing indicators based on a real value of cargo and illustrates their calculations using the U.S. Port of Duluth-Superior as a case study.     

Modelling port choice in an uncertain environment

Port choice is an important issue to be investigated to ensure the effective integration of container supply chains and the sustainable development of regional economy. The selection of appropriate ports to facilitate shipping activities and international trade is crucial for many stakeholders, including shipping lines, port administrators, cargo shippers and national governments. The task is essentially a process of multiple criterion decision-making (MCDM) under uncertainty, requiring analysts to derive rational decisions from uncertain and incomplete data related to different quantitative and qualitative determinants. This paper aims at proposing a new conceptual port choice method by explaining the role fuzzy logic in evidential reasoning in a complementary way, in which various forms of raw data (either objective or subjective) collected to evaluate port performance can first be converted into and presented as fuzzy grades defined using linguistics terms with degrees of belief (DoBs) and second be combined using evidential reasoning to produce a port choice preference score. The method is applied to analyse the selection of major Northeast Asian (NEA) container ports from a shipping line’s perspective. The outcome, a port choice preference score, is calculated using evidential reasoning to directly synthesize the true estimation of the port with respect to each criterion and therefore, unlike a relative ranking index, keeps the ‘goodness’ of port evaluation, capable of benchmarking a specific port’s performance and monitoring the increase of its competitiveness in a longitude study with respect to an individual criterion or all the criteria as a whole.     

Asian hub/feeder nets: the dynamics of restructuring

The emergence of hub/feeder networks in the Singapore-Japan corridor through the 1970s and 1980s reflected not only the rapid growth of containerized cargo in regional Southeast and East Asia but also the exceptional importance of Far East/transPacific and Far East/Europe mainline shipping services in structuring these networks. This paper argues that the mid-1990s is a defining moment in the restructuring of these networks; that the period represents, in fact, a convergence of a number of different though related trends impacting on the regional shipping market. More particularly, continuing high growth rates of containerized cargo have not only spawned new ports but have also increased the proportion of ports handling threshold volumes of containers for which mainline calls, rather than handling thfeeder operations, are justified. Further, the quite dramatic retionalization of already large container shipping lines into mergers and alliances bestows a new level of market power that is able to underwrite major changes in shipping schedules, port rotations and feeder linkages. This paper speculates that these developments are generating, and will continue to generate new, hierarchically organized port/shipping networks in which high order networks will include high efficiency/high cost operations; and lower order networks will include a mix of hub and direct-call ports that will focus on different market segments.     

散货港区的智慧港口规划

本文结合某港散货港区智慧港口规划项目,介绍了该港南作业区智能化项目的核心在于构建一套适应现代散杂货港口发展趋势、突破传统散货港口作业模式的全新港口智能化系统.本次规划将物联网、大数据技术、AI人工智能、5G等新型基础设施与生产业务融合,创新生产作业流程及资源配置,显著提高港口的作业运营能力、物流协同能力、口岸支持能力、...     

Which terminals should expand investment: a perspective of internal non-cooperative competition in a port?

ABSTRACT

With the increasing container cargo throughput and the arising of port congestion, container ports start to choose the investment expansion strategy to increase the port efficiency and then to figure out the problem of port congestion. To analyze this strategy, we formulate a non-cooperative game model for a two-terminals-one-port system, and derive the optimal equilibrium outcomes of the investment expansion strategy and investment constant strategy. In the game, we find that when the investment parameter of expansion strategy and impact of handling efficiency on demand changes, both pure-strategy Nash equilibrium and mixed-strategy Nash equilibrium exist, and two terminals are more likely to choose the investment expansion strategy in most cases. Numerical simulation is applied to explore the equilibrium strategy under different circumstance.     

新条例实施后港口危险货物作业场所现状

为贯彻新修订的《危险化学品安全管理条例》,对港口危险货物作业场所现状进行分析.阐述危险货物相关概念.阐明危险货物、危险化学品的区别与联系.统计全国现有危险货物码头、库区及堆场,以及移交港口行政管理部门的储罐的数量,为港口行政管理部门进行安全监管提供理论依据.     

Evaluating determinants of attractiveness and their cause-effect relationships for container ports in Taiwan: users’ perspectives

The attractiveness of ports is usually a pre-requisite and necessary condition for ports to achieve competitiveness, as well as the springboard to explore the competitive advantages of ports. To determine whether a port is competitive, it is necessary to explore whether it boasts certain factors that make the port attractive to users. The main purpose of this article is to apply the Analytic Hierarchy Process (AHP) method and the Decision Making Trial and Evaluation Laboratory (DEMATEL) technique to evaluate key determinants of attractiveness and their cause/effect relationships for container ports in Taiwan. The empirical results showed that: (1) Top six determinates of attractiveness for container ports are ‘ample cargo sources,’ ‘favorable port charges,’ ‘dense ship network and routes,’ ‘low transshipment costs,’ ‘efficient wharf operations,’ and ‘adequate wharfs and back-line land,’ respectively. (2) Among the above six determinants of attractiveness, ‘ample cargo sources’ is the cause determinant. Three determinants of port attractiveness, ‘favorable port charges,’ ‘dense ship network and routes,’ ‘low transshipment costs,’ which are the effect determinants. They are affected by the determinants of attractiveness of ‘ample cargo sources’. In addition, this study discusses the above findings and expects to provide the study results to Taiwan’s port authorities for reference.     

(Law for the Promotion of Competition and Consumer Protection) was passed in early 1995. The impact this law will eventually have, however, is uncertain because rules for its implementation have not yet been established.

Governments in their port reform efforts have experimented with liberalization and commercialization to improve port operations. Because of their failure to meet expectations or because of changing competitive environments, these options have generally been discarded in favour of privatization. In mature large-volume port systems, privatization was a relatively obvious solution, because interport or interterminal competition would be achieved to the extent that the monopolistic tendencies characteristic of their predecessor organizations would cease to exist. In countries with a limited number of ports having relatively small cargo volumes, however, the case is quite different. These countries would have to pursue strategies that would still induce competition in spite of their limited cargo volumes if they hoped to achieve the same privatization benefits and market disciplines enjoyed in other countries. This article examines the port reform approaches used in three distinct competitive settings;the experiences in these countries offer some guidance on how to assure that ports will feel competitive pressures even under conditions of limited cargo volumes.     

Operational performance evaluation of major container ports in the Asia-Pacific region

If international container ports are to gain a proper appreciation of their various advantages, disadvantages and potential opportunities in a globally competitive environment, it is essential that they conduct effective evaluation of their operational performance. The present study applies five models of data envelopment analysis (DEA) to acquire a variety of complementary information about the operational efficiency of major container ports in the Asia-Pacific region and to identify trends in port efficiency. The study first establishes the causes of inefficiency on the basis of efficiency value analysis. Slack variable analysis is then used to identify potential areas of improvement for inefficient ports. This is followed by the utilization of return to scale analysis to assess whether each port is in a state of increasing, decreasing, or constant return to scale. Finally, a sensitivity analysis is conducted to identify which input or output variables have larger weights in terms of efficiency. The results provide valuable information for port managements in their attempts to establish competitive strategies for the future and to improve their resource utilization for ongoing improvements in operational efficiency.     

第四代港口对中国港口建设的启示

旨在探讨第四代港口对中国港口建设的重要启示,以期为新形势下的中国港口建设提供理论支撑。基于前期研究及联合国贸发会的港口代际发展模型,研究并指出第四代港口是积极主动参与国际经贸决策和组织各类经济活动的前方调度总站,分析了第四代港口的主要特征及其对我国港口建设的重要启示。主要结论是：中国港口建设应大力发展和吸引陆向腹地物流,进一步加强国际航运中心建设以及优化港口布局。     

Technical,allocative and cost efficiencies of Chinese ports

This paper reports on empirical studies of the technical, allocative, and cost efficiencies (CEs) of Chinese ports based on the panel data of 16 listed port corporations from 1998 to 2011 by means of Bayesian Inference and Markov Chain Monte Carlo methods. An error terms approach is used to resolve the Greene Problem in the estimation of allocative efficiency. The results show that the technical efficiencies have tended to decline in most ports. Inputs to R&D and improving management level are insufficient to offset this decline. Seaports have higher CEs than river ports. Ports with higher container cargo proportion have higher CEs. Ports with more than 50% of shares owned by the State have higher CEs.     

Operational performance evaluation of major container ports in the Asia-Pacific region

If international container ports are to gain a proper appreciation of their various advantages, disadvantages and potential opportunities in a globally competitive environment, it is essential that they conduct effective evaluation of their operational performance. The present study applies five models of data envelopment analysis (DEA) to acquire a variety of complementary information about the operational efficiency of major container ports in the Asia-Pacific region and to identify trends in port efficiency. The study first establishes the causes of inefficiency on the basis of efficiency value analysis. Slack variable analysis is then used to identify potential areas of improvement for inefficient ports. This is followed by the utilization of return to scale analysis to assess whether each port is in a state of increasing, decreasing, or constant return to scale. Finally, a sensitivity analysis is conducted to identify which input or output variables have larger weights in terms of efficiency. The results provide valuable information for port managements in their attempts to establish competitive strategies for the future and to improve their resource utilization for ongoing improvements in operational efficiency.     

Environmental efficiency measures for ports: an application of RAM-Tobit-RAM with undesirable outputs

In this paper, the environmental efficiency of the ports is measured. Labour, fund and infrastructure input are selected as the inputs, container throughput, cargo throughput and main business income are selected as the outputs, CO₂ emission is chosen as the undesirable output. A new model—RAM-Tobit-RAM (Range Adjusted Measure) with undesirable outputs is built to evaluate the environmental efficiency. Ten Chinese ports from 2004 to 2013 are taken as the samples to verify its rationality. The results suggest that it is not necessarily beneficial for environmental efficiency to expand the port scale.     

基于条件期望的港口货物吞吐量预测模型的建立与分析

为了有效预测港口货物总吞吐量的大小,利用条件数学期望提出了港口货物总吞吐量的预测模型.由于货物总吞吐量的变化与到达港口的货运船数目以及装卸设备的工作效率有密切关系,构造一个关于到达港口的货运船数目以及装卸设备的工作能力组合而成的复合变量,货物总吞吐量是这些复合变量所表示的货物装卸量的和.应用全概理论,得到货物总吞吐量的概率分布.在此基础上,将未来货物总吞吐量看作已完成吞吐量的条件期望.利用增长函数得出港口货物吞吐量的预测模型.以山东地区某港口的货物吞吐量变化规律进行了案例分析.理论分析和案例分析均表明该模型是预测港口货物总吞吐量的有效方法.     

江苏沿海港口吞吐量影响因素及预测分析

目前江苏沿海地区综合开发已上升到国家发展战略层面,沿海港口建设正在迅猛开展。港口吞吐量的预测对于港口的建设有着极其重要的意义。以港口和腹地之间的互动关系为出发点,分析了可能影响江苏沿海港口吞吐量的若干因素,采用主成分分析法提取了过去10年影响港口吞吐量的最关键因素,剖析了江苏港口发展的内在影响机理,并提出了基于影响机理的预测模型。最后使用模型对江苏港口吞吐量进行验证分析,模型为江苏沿海港口新一轮发展提供了有力的数据支撑。