Evolution and research trends of container shipping

The shipping industry was transformed by the expansion of international trade and technological innovation, notably containerization, since the 1960s. Accordingly, this was followed by a significant increase in research addressing different aspects of container shipping. Despite such availability, important questions have remained unanswered: what are the major contributions that the research community has made to the container shipping industry, global and regional economies? Have their contributions been skewed towards particular themes, directions, and geographical areas? What can the shipping research community learn from the evolution and trends of container shipping research so that they can continue to contribute to the well-being of the global and regional economies? To address these questions, the paper undertakes a critical review and analysis on the evolution and trends of research in container shipping in the past four decades, based on a collection of 282 papers investigating different topics in container shipping featuring in major scholarly journals between 1967 and 2012. The study enables the shipping research community to enhance self-understandings and identifies major gaps for further research.     

集装箱船舶大型化对上海港发展的影响和机遇

在集装箱航运市场中,由于超大型集装箱船优良的经济性能及全球集装箱航运结构的重组,并且在全球国际集装箱运输呈增长的趋势背景下,大批超大型集装箱船投入运营,对上海港的运营和发展形成一定的影响,但同时也给上海港的发展带来了机遇。上海港要应对国际航运市场的这种变化,就必须采取相应的策略。随着长三角经济圈的发展和洋山深水港一期、二期工程的完工,进一步巩固了上海港的国际集装箱枢纽港地位,上海港应抓住新的发展机遇,为上海早日建成国际航运中心奠定更加坚实的基础。     

Voyage-based statistical fuel consumption models of ocean-going container ships in Korea

ABSTRACT

Accurately estimating fuel consumption of ships is crucial for shipping companies, port authorities, and environmental protection agencies. The bottom-up approach is becoming increasingly popular because it can estimate ship fuel consumption by accounting for ship activity conditions, such as changes in voyage speed, time, and distance; however, its use is still limited when estimating ship fuel consumption. Ship-specific information, such as the daily fuel consumption rate for main and auxiliary engines for every vessel, is expensive to gather, and generally not collected from private shipping companies. To address this research gap, we develop simplified and composite ship fuel consumption models for ocean-going container ships by size using a regression model. To estimate the fuel consumption models for container ships, we rely on ship activity data, including average speed and sailing time, distance, and actual fuel consumption for main and auxiliary engines. This information is obtained from a major container shipping company in Korea. We estimate and validate the parameters associated with fuel consumption for five different container ship sizes, all of which are smaller than the Post-Panamax container ship (15,000 TEU and above).     

Analysis of container port policy by the reaction of an equilibrium shipping market

In the competitive container cargo transportation market, shipping companies are drastically changing their strategy vis-a-vis routing and port choice by the formation of global alliances. In such a situation, the effectiveness of port management policy in persuading container liners to use the port is most important. The paper discusses port management policy in an equilibrium shipping market. A model is proposed to simulate the flow of foreign trade container cargo using game theory. It is used to explain the interaction of port management policy, shipping companies and shippers.     

The Caribbean basin: adjusting to global trends in containerization

Positioned strategically between major east-west and north-south trading routes, the Caribbean basin has become a locus of new service configurations in container shipping. Over the last decade global shipping lines have been restructuring their service networks in the region in order to integrate local services with the newly rationalized intercontinental connections. By comparing service network structures in 1994 and 2002 at three levels of organization—local, regional and global—we are able to show that although Caribbean ports are well connected to the global system, and while the total number of services has declined between the two years, those mounted by members of global alliances have increased. Moreover, services of the global carriers at the local and regional levels are on the increase. As much as the alliances are reshaping Caribbean networks, the smaller carriers are still playing a role, but at a reduced spatial scale. Parallel with the modifications to network configurations are the changes in the port system. Essentially, traffic of the most important ports in the north and western part of the basin has grown at slower rates than the ports in the south and east. These traffic changes are only partly related to network changes. It is the growth of transshipments that is driving the most important developments in port traffic and bringing to the forefront the development of hub ports. The most important are: Colon, Panama (southwest), Freeport, Bahamas (north), Port of Spain, Trinidad and Tobago (southeast), Kingston, Jamaica and Rio Haina, Dominican Republic (middle), and Cartagena, Colombia and Puerto Cabello, Venezuela (south).     

A reactive container rerouting model for container flow recovery in a hub-and-spoke liner shipping network

This paper focuses on the container rerouting due to a disruption, aims at making the optimal container flow recovery plan for the affected liner shipping company. First, we make the initial effort to bring up with a basic framework of disruption management for liner shipping. Second, we present a compact integer linear programming model for addressing the container rerouting problem under the proposed framework in a hub-and-spoke liner shipping network, based on a given recovery vessel schedule that determines to omit a port of call. Other shipping companies’ services and other modes (roadway, railway, and airline) as candidate alternative means to transport the miss-connected containers are also incorporated in the proposed model. The container flow recovery plan would select the optimal alternative paths for the miss-connected containers balancing the trade-off between container transport costs and delivery delay penalty costs. Finally, a case study from a global liner shipping company is investigated and the computational results indicate the model can be solved effectively and efficiently for the real-scale problem. Thus, the proposed approach in this paper can supply real-time decision support tool for the liner shipping operators on handling the process of container flow recovery.     

The Caribbean basin: adjusting to global trends in containerization

Positioned strategically between major east–west and north–south trading routes, the Caribbean basin has become a locus of new service configurations in container shipping. Over the last decade global shipping lines have been restructuring their service networks in the region in order to integrate local services with the newly rationalized intercontinental connections. By comparing service network structures in 1994 and 2002 at three levels of organization—local, regional and global—we are able to show that although Caribbean ports are well connected to the global system, and while the total number of services has declined between the two years, those mounted by members of global alliances have increased. Moreover, services of the global carriers at the local and regional levels are on the increase. As much as the alliances are reshaping Caribbean networks, the smaller carriers are still playing a role, but at a reduced spatial scale. Parallel with the modifications to network configurations are the changes in the port system. Essentially, traffic of the most important ports in the north and western part of the basin has grown at slower rates than the ports in the south and east. These traffic changes are only partly related to network changes. It is the growth of transshipments that is driving the most important developments in port traffic and bringing to the forefront the development of hub ports. The most important are: Colon, Panama (southwest), Freeport, Bahamas (north), Port of Spain, Trinidad and Tobago (southeast), Kingston, Jamaica and Rio Haina, Dominican Republic (middle), and Cartagena, Colombia and Puerto Cabello, Venezuela (south).     

Reposition of empty containers of different life stages integrated with liner shipping network design

ABSTRACT

This paper integrates empty container reposition with container shipping network design considering the container life stages. A mixed-integer linear programming model is built to determine the liner shipping network, the initial launch ports of new containers, the ports for scrapping obsolete containers, the empty container reposition scheme and the containers of different life stages being used for a specific voyage. A case study is done by taking liner shipping among China, Japan and South Korea, Southeast Asia, Europe and the US as an example. The results show that over 93% of new containers are put into use in China while 63% of old containers are scrapped in Europe or the US, and 73% of containers used for packing cargoes from China to the US are those at the Decline Stage or the Exit Stage.     

Spatial pattern of the global shipping network and its hub-and-spoke system

Port system is a research focus of transport geography, and most studies believe carriers are important factors in the development and concentration of the port system. Since the 1990s, carriers have played an important role in organizing the global shipping network and reorganizing the port system. But there isn’t a perfect method to evaluate carriers’ influence and the roles of each port in the maritime shipping networks. In this paper, we use the monthly schedule table of international carriers to describe and model the spatial pattern of the global shipping network and identify its hub-and-spoke system. The result shows that a hierarchical structure exists in the global shipping network. The North Hemisphere, especially the East Asia and the Southeast Asia, is a dominant region of the worldwide shipping network. East Asia, Southeast Asia, Northeast Europe, and East coast of the USA are the concentration regions of worldwide shipping lines. The ports of Hong Kong, Singapore, Shenzhen, Shanghai, and Kaohsiung etc have advanced capacity for maritime shipping and high potentials for being hub ports in the global shipping network. Today, the worldwide shipping network is transforming from the multi-port calling system to 44 regional hub-and-spoke systems. Meanwhile, the sub-networks with hub ports of Antwerp, Singapore, and Hong Kong have become the most important ones and dominate the whole global shipping network.     

Transshipment hub port selection for shipping carriers in a dual hub-port system

ABSTRACT

This paper investigates the factors affecting transshipment (T/S) hub port selection by a feeder port and helps shipping carriers make a decision about T/S hub port selection in a dual hub-port system. By employing established evaluation factors, a case study is conducted to weigh the priority of factors and to select an alternative T/S hub port, such as between the Shanghai and Ningbo ports from the Nanjing feeder port in the Yangtze River delta (YRD). A combined multi-criteria decision-making (MCDM) framework utilizing the analytic hierarchy process (AHP) and the consistent fuzzy preference relations (CFPR) method is employed to both reduce the number of pairwise comparisons by AHP and to obtain experts’ knowledge in the decision-making process. The result indicates that the cost, availability of hub port’s space allocation, and the connectivity between feeder port and hub port are crucial factors for T/S hub port selection by shipping carriers. In the case study, Shanghai is selected as the T/S hub port from the Nanjing feeder port. Nevertheless, Ningbo port has the advantage of cost, and if the relationship with feeder port can be improved, Ningbo port would be preferred over Shanghai as a T/S hub port for shipping carriers in a dual hub-port system.     

Empty container reposition planning for intra-Asia liner shipping

This paper addresses empty container reposition planning by plainly considering safety stock management and geographical regions. This plan could avoid drawback in practice which collects mass empty containers at a port then repositions most empty containers at a time. Empty containers occupy slots on vessel and the liner shipping company loses chance to yield freight revenue. The problem is drawn up as a two-stage problem. The upper problem is identified to estimate the empty container stock at each port and the lower problem models the empty container reposition planning with shipping service network as the Transportation Problem by Liner Problem. We looked at case studies of the Taiwan Liner Shipping Company to show the application of the proposed model. The results show the model provides optimization techniques to minimize cost of empty container reposition and to provide an evidence to adjust strategy of restructuring the shipping service network.     

U.S. import/export container flow modeling and disruption analysis

International containerized freight movement is a vital part of the supply chain for many companies, and a critical element of moving consumer goods to points of retail sale within the U.S. Containerized imports also present a clear security concern (e.g., terrorists attempting to ship “dirty bombs,” chemical, biological or even nuclear weapons, into the U.S. in a shipping container). The goal of the research presented here is to create a modeling tool for analyzing flows of U.S. imports and exports of containerized freight, and the potential changes in those flows under a variety of conditions (e.g., port disruptions, extensive security-related delays, etc.). Our focus is on movements through maritime container ports, and not overland movements between the U.S. and Canada or Mexico.The network model, referred to as the System for Import/Export Routing and Recovery Analysis (SIERRA), represents container movements between the U.S. and 46 other countries that account for the vast majority of U.S. imports and exports. The SIERRA model is a network equilibrium model that predicts flows between foreign countries and North American ports, the total volumes handled (import and export) by each port, the modal volumes (truck and rail) moving domestically into and out of each port, and volumes between each port and a set of transportation analysis zones within the U.S.     

Vulnerability analysis of global container shipping liner network based on main channel disruption

The Malacca Strait, the Suez Canal and the Panama Canal play an important role in the global container shipping. To study the impact of main channel interruption on the container shipping, we analysed statistical data on all routes operated by the top 100 global container liner companies and constructed a network model. We selected four topological metrics to measure the network’s connectivity and used the network weekly total shipping capacity and average shortest shipping time to measure the network’s transportation capacity and transportation time. The interruption of the main channel is simulated, and the changes in the metrics are analysed. The results indicated that the network’s vulnerability is sensitive to main channel interruption. If the Malacca Strait is interrupted, the network’s prosperity degree fall by almost half and the network’s transportation time increase by more than a quarter if the Suez Canal is interrupted. In addition, East Asian and European container liner shipping have more than 50% dependence on the Malacca Strait and the Suez Canal. Moreover, the container transport time between ports in East Asia, Europe, and North America and the rest of the world increases by an average of 4–9 days in the main channel interruption.     

Cost analysis of bulk cargo containerization

ABSTRACT

Bulk cargo containerization (BCC) involves changes in the transportation mode of container shipping for cargo that uses bulk carriers without packing. This topic has recently attracted considerable attention as an alternative transportation method for container cargo. BCC is advantageous because it can address imbalances in the amount of cargo conveyed between the main and back hauls, thereby improving efficiency. A previous survey among companies involved in cargo shipping revealed that in addition to ocean freight, vanning and devanning, and customs clearance costs, consignees’ decisions were the key factor in selecting transport modes. The present study aims to clarify the cost competitiveness of container shipping and identify cost reductions that may increase the use of BCC. To quantitatively check the results of the survey employed in this study, we constructed a model based on consignees’ and container shipping companies’ costs to determine the choice of transport mode for back-haul trade, then examined the incentives for consignees and shipping companies. We found that BCC can be realized by cost reduction on the part of the consignee and profit improvement on the part of the container shipping company for some routes and goods. Although reducing the freight rate would effectively promote BCC, reducing other costs would not have the same effect.     

Port co-opetition in concept and practice

The port industry has undergone a rationalization process over the last decade. An increasing proportion of port management and operations is being taken over by global port operating groups. Many port operators who previously ran only their local business now extend their business scope to the regional or global scale; today's port operators can be regarded as multinational corporations. In the era of global economy, a port no longer enjoys a natural monopoly, as was the case in the past. To cope with this changing business environment, a certain form of competition and co-operation among ports is necessary so as to provide services that fit into shipping lines' strategies. It is suggested that ports have to concentrate on new ways for co-operation in an effort to establish a countervailing power. This paper proposes a new strategic option known as co-opetition, the combination of competition and co-operation, for the port industry, and explains a case of co-opetition between the container ports in Hong Kong and South China. The results of this research will provide a useful insight into the port industry, which is currently required to carry out its business in an ever-changing business environment.     

Next generation mega container ports: implications of traffic composition on sea space demand

ABSTRACT

Demand for sea space brought about by increasing container-shipping traffic has important implications on how this space is managed and used. This is particularly important given the long-term nature, high-asset specificity, high- opportunity cost of investment, and significant economic impact of container port activity on a locality. The challenge is especially pressing for ports, which are facing constraints in seaside capacity where container traffic also has to co-exist with the needs of other types of ship traffic. This challenge is likely be multiplied for next generation container ports, which are expected to handle even larger traffic volumes. These ports are also likely to face competing sea space demands from other economic and social activities especially when they are concurrently major confluences of trade, logistics, and urban populations. This is the first research to investigate in detail the impact and importance of investigating sea space requirements from the perspective of cargo traffic composition and ship capacity. Results show that transshipment containers can generate much higher demand for sea space due to the higher volume of shipping capacity that accompanies such traffic. Sustainability issues and managerial and policy implications pertaining to the development of next generation container ports are provided.     

Mitigative and adaptive investments for natural disasters and labor strikes in a seaport–dry port inland logistics network

ABSTRACT

Inland distribution is a crucial link between ocean shipping and terminal consumers. However, such a distribution system is vulnerable to disturbance caused by natural disasters and labor strikes. Pre-event investments, specifically mitigative and adaptive investments, could alleviate the adverse consequences of a disturbance to mitigate the possibility of event occurrence and reduce damage after event occurrence, respectively. This study investigates an inland distribution network that comprises one seaport and one major dry port. Moreover, this research discusses the two existing management models in the network, namely, centralized and decentralized systems. We analyze the optimal investment level when coping with natural disasters and labor strikes and compare the results under different cases. Results show that decentralization will increase the total expected cost, while cooperation is always beneficial in terms of pre-event investment. However, an appropriate cost-sharing plan is required to make the cooperation feasible for a seaport and dry port.     

Book reviews

We show in this paper that the throughput data for the top 300 container ports reported each year by the various authorities follows a simple truncated lognormal distribution. This surprising phenomenon repeats itself every year from 1982 to 2006, despite many tumultuous changes in the container shipping world. The empirical data suggests that Gibrat's Law of proportionate growth indeed holds for the world container throughput data. Unfortunately, the classical stochastic growth model and other variants often used to explain the origin of this law appears to be too simplistic for the container terminal industry. We use instead the perspective that the container terminal throughput data are essentially an aggregate measure of the number of visitations as each container circulates on the world shipping network, and use this to propose a Markov chain based container circulation model to explain the origin of this phenomenon. Simulation results show that our network-based model is able to replicate the behavior of the empirical data to a reasonable degree of accuracy, and does not contradict the law of proportionate growth. More importantly, this model is able to replicate the relationship between the degree of connectivity of a port (i.e. number of linkages with other ports) and its association with the container throughput data, an empirical regularity which could not be explained using classical approaches.     

An equilibrium-based network model for international container flows

The liner shipping industry is a highly complex system and is extremely sensitive to rapid changes in the environment. To facilitate decision-making in response to endogenous and exogenous shocks, this research develops a strategic network model based on equilibrium principles to analyze the international marine liner shipping network according to port charge, congestion level at the port, and load factor of the ship and estimates the possible container flows under different scenarios in the long run. The distribution model of container flows is extended from Beckmann's transformation. To calibrate the parameters employed in the model so that it offers greater fidelity in predicting container flows, we devise a descent direction-based heuristic. The proposed framework is empirically applied to various scenarios to validate the model and predict the flow pattern after significant events. By identifying these events’ potential impact on the maritime network, the presented model can help relevant stakeholders reduce uncertainty when shaping maritime policies so that they can seize opportunities to increase their competitiveness and maintain their advantage in the maritime market.     

Weekly container delivery patterns in liner shipping planning models

This paper addresses a fundamental question related to nearly all container liner shipping planning models: whether the implicit assumption of identical container delivery pattern every week is valid in a situation of identical shipping services and identical cargo demand every week. We prove that when the number of containers transported from one port to the next is formulated as a continuous variable, the resulting mathematical model with an identical container delivery pattern is equivalent to the model with general container delivery patterns which can be different in different weeks. When the number of containers transported is formulated as an integer variable, the model with an identical container delivery pattern is not equivalent to the model with general container delivery patterns. However, the difference between the optimal objective values of the two models is negligible for practical applications. In sum, little, if not nothing, is lost by assuming an identical container delivery pattern in liner shipping planning models.