Port competitiveness in container traffic from an internal point of view: the experience of the Port of Algeciras Bay

The objective of this article is to analyse the factors that affect port competitiveness from the perspective of the agents and companies that operate in one of the Mediterranean ports most active in container traffic: the Port of Algeciras Bay (PAB). It is essential to understand the perspective of the suppliers of port services, in order to apply the necessary judgment when formulating policies to strengthen the competitive position of a port. The model selected to meet the objective outlined is based on the ‘extended diamond’ of Porter. The universe for the study comprises all the institutions and companies involved in the containerization process in the Port of Algeciras Bay. Within this methodology, two procedures are utilised. First, from the quantitative perspective, a survey has been conducted to obtain responses to two groups of questions, one dealing with situation and the other with perceptions. Second, and from a qualitative perspective, several open interviews have been conducted to corroborate the responses obtained to the questionnaire. From the data obtained in the survey, a model has been estimated that minimises the sum of the residuals in absolute value, utilizing the L1 regression; this model enables the competitive advantages and disadvantages of the PAB, from the point of view of the port operators, to be determined by an analysis of residuals. This analysis demonstrates that the variables representing greater competitive advantages are associated with trans-shipment, and with the maritime accessibility of the Port to vessels, whereas those generating greater disadvantages are associated with rail transport (which, according to those surveyed, has resulted in the diversion of significant volumes of traffic to other Spanish or European ports with better communications, particularly Valencia, Barcelona and Gioia-Tauro, and with the state of competition in container trans-shipment activities.     

Port competitiveness in container traffic from an internal point of view: the experience of the Port of Algeciras Bay

The objective of this article is to analyse the factors that affect port competitiveness from the perspective of the agents and companies that operate in one of the Mediterranean ports most active in container traffic: the Port of Algeciras Bay (PAB). It is essential to understand the perspective of the suppliers of port services, in order to apply the necessary judgment when formulating policies to strengthen the competitive position of a port. The model selected to meet the objective outlined is based on the 'extended diamond' of Porter. The universe for the study comprises all the institutions and companies involved in the containerization process in the Port of Algeciras Bay. Within this methodology, two procedures are utilised. First, from the quantitative perspective, a survey has been conducted to obtain responses to two groups of questions, one dealing with situation and the other with perceptions. Second, and from a qualitative perspective, several open interviews have been conducted to corroborate the responses obtained to the questionnaire. From the data obtained in the survey, a model has been estimated that minimises the sum of the residuals in absolute value, utilizing the L1 regression; this model enables the competitive advantages and disadvantages of the PAB, from the point of view of the port operators, to be determined by an analysis of residuals. This analysis demonstrates that the variables representing greater competitive advantages are associated with trans-shipment, and with the maritime accessibility of the Port to vessels, whereas those generating greater disadvantages are associated with rail transport (which, according to those surveyed, has resulted in the diversion of significant volumes of traffic to other Spanish or European ports with better communications, particularly Valencia, Barcelona and Gioia-Tauro, and with the state of competition in container trans-shipment activities.     

Testing port choice models using physical and monetary data: a comparative case study for the Spanish container trades

ABSTRACT

Transport costs are useful explanatory variables in port choice research. Nevertheless, the availability of such information usually poses a problem. Thus, the formulation of an alternative approach, to be used as a proxy of these variables, would be desirable. The objective of this study is to improve the analysis of container port choice using logit models by adopting physical non-monetary indicators based on maritime distance and ship size. The statistical tests of logit models on port choice using these new variables are compared with the result of using cost variables for the same data set of choice positions. The statistical outcome is good and allows us to present this new approach as a contribution to the literature on port choice modeling.     

Estimating demand variables of maritime container transport: An aggregate procedure for the Mediterranean area

Demand variables of maritime container transport (throughput, transhipment and origin–destination flows) may be estimated with freight demand models. As their parameters generally vary both in time and space, models may not be transferable to geographical areas and time periods differing from that for which they are calibrated.     

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.     

OD流仿真模型在珠三角集装箱港口群布局规划中的应用研究

构建由珠三角集装箱运输OD流运输网络、港口模糊综合评价模型、中转港选择的Logit模型3大部分构成的OD流仿真模型。在2020年珠三角集装箱生成量预测基础上,应用该模型对区域内集装箱运输需求在各OD流路径中的运输量进行仿真模拟测算,科学合理地预测该年度珠三角各港的集装箱吞吐量,为2020年度的珠三角集装箱港口群的合理布局规划提供指引。     

巴布亚新几内亚科考瑞港集装箱吞吐量预测

为评估新建巴布亚新几内亚科考瑞港的建设规模,构建由回归分析模型、腹地集装箱运输需求重力模型、多目标港口模糊评价模型和基于Logit模型的港口选择模型4部分组成的综合预测方法。对巴布亚新几内亚科考瑞港的腹地集装箱运输需求进行预测;并对腹地省份在不同港口的集装箱运量进行测算,从而科学合理地预测科考瑞港的集装箱吞吐量,为实施项目的必要性提供支持。该预测方法使用较少的基础数据即可比较科学客观地预测新建港口的集装箱吞吐量,能够较好地解决在不发达国家或地区统计资料缺失、安全局势不稳定导致腹地调研困难等情况下的吞吐量预测问题,为海外港口的建设、咨询项目提供帮助。     

Demand analysis in Angola seaports

ABSTRACT

This paper presents a demand analysis of Angola seaports from 1996 to 2013 using the Berry, Levinsohn, and Pakes (BLP) demand model. The BLP is a random coefficient Logit demand model that takes into account the endogeneity of the price in the demand equation. The model reveals that seaports on Angola is explained by the average price, the price of maritime transport services, the price of substitute imports by airports, and by the income in the port region. The price is endogenous in demand equation and the endogeneity is taken into account in demand estimation. The price of air transportation is negative, and therefore it is a complementary good. The price of container handling is positive, and therefore it is a substitution good. Policy implication is also derived.     

Port resources rationalization for better container barge services in Hong Kong

The manufacturing base in the Pearl River Delta of China is moving westwards, where the Pearl River system has extensive coverage. This makes container barge transport a new growth area for Hong Kong Port. Traditionally, Hong Kong Port has been the main gateway for containers transported through the Pearl River system, but this advantageous position is under challenge from the adjacent ports in South China, especially from Shenzhen Port, which is keen to take a bigger share of the new growth by improving the access of barges to its port facilities. While services at Shenzhen Port are improving, barge operators have been experiencing high congestion at Hong Kong Port. Improving the quality of barge container services becomes crucial for Hong Kong Port. In this study, we propose and investigate three improvement strategies: to enhance the consolidation of small container flows, to increase the efficiency of berth allocations for barges, and to optimize the overall utilization of port resources in Hong Kong. These strategies can be instrumental for keeping Hong Kong's status as the gateway for the Pearl River system and help maintain its competitiveness as an international shipping hub.     

An econometric analysis for container shipping market

This article presents an econometric analysis for the fluctuation of the container freight rate due to the interactions between the demand for container transportation services and the container fleet capacity. The demand is derived from international trade and is assumed to be exogenous, while the fleet capacity increases with new orders made two years before, proportional to the industrial profit. Assuming the market clears each year, the shipping freight rate will change with the relative magnitude of shifts in the demand and fleet capacity.

This model is estimated using the world container shipping market statistics from 1980 to 2008, applying the three-stage least square method. The estimated parameters of the model have high statistical significance, and the overall explanatory power of the model is above 90%. The short-term in-sample prediction of the model can largely replicate the container shipping market fluctuation in terms of the fleet size dynamics and the freight rate fluctuation in the past 20 years. The prediction of the future market trend reveals that the container freight rate should continue to decrease in the coming three years if the demand for container transportation services grows at less than 8%.     

Port and terminal selection by deep-sea container operators

This paper deals with the importance of port choice and container terminal selection for deep-sea container carriers. The paper focuses on the research question: on what basis do deep-sea container operators select container ports (strategy) and container terminals (financial reasons) in the Hamburg–Le Havre range over others? In answering this research question, three dimensions are addressed in detail: the buying decision characteristics; port choice strategy; and terminal selection. The results show that strategic considerations at company level are important. For port choice the most important criteria from a carrier's perspective are: availability of hinterland connections; reasonable tariffs; and immediacy of consumers (large hinterland). In addition to these criteria, shipping lines attach great value to often neglected factors, such as feeder connectivity, environmental issues and the total portfolio of the port. The study reveals that port selection and terminal selection are not the same with terminal selection criteria mainly depending on: handling speed; handling costs; reliability; and hinterland connections. The analysis also brought forward that the decision making is different per container carrier, per trade and per port type, implying that a one size fits all approach is not relevant.     

Development of Motorways of the Sea in the Adriatic region

Freight volumes are increasing worldwide, following almost the same growth rate as the Gross Domestic Product (GDP). This has resulted in congested sections of the road system and increase of traffic accidents. Consequently, several governments in Europe are promoting alternative modes of transport. Besides the use of railways, the European Union is promoting the use of maritime transport for short distances. This initiative, ‘Motorways of the Sea (MoS)’, aims at the establishment of more efficient and competitive maritime services between different countries. The present paper analyzes the development of an MoS network in the East Adriatic area, linking the Greek Ports of Igoumenitsa and Patras in the Ionian Sea. This is done by identifying financially viable MoS corridors, servicing the freight and passenger demand of the area. Initially, the freight and passenger flows of MoS in the East Adriatic/Ionian Seas region, based on the application of the four-step methodology for transport planning, are estimated. Then, the financial viability of each MoS is elaborated, based on the estimated flows. Hence, the network of MoS services is determined for the area. Thus, the paper provides a useful tool to maritime operators, port authorities and policy makers to investigate the financial viability of an MoS network.     

Evaluating seaport policy alternatives: a simulation study of terminal leasing policy and system performance

The competitive characteristics of the North American seaport industry have, in theory, been causally linked to excess investment and low terminal throughput productivity. This paper empirically examines the link between seaport authority container terminal leasing policy and throughput productivity. Recent advances in inventory theory applied to service industries suggest the pooling of demand uncertainty can yield lower costs without sacrificing customer service. This concept is applied to a container seaport using simulation. The effort compares key output measures from a realistic base case model of the seaport to those generated by an alternative terminal leasing policy. It is shown that the pooling of demand in a common-user seaport reduces total vessel time in port by 17.1% with no reduction in TEU throughput. Throughput productivity is improved for the highest capacity terminals, while lower capacity terminals are made available for additional users or alternative uses.     

Evaluating seaport policy alternatives: a simulation study of terminal leasing policy and system performance

The competitive characteristics of the North American seaport industry have, in theory, been causally linked to excess investment and low terminal throughput productivity. This paper empirically examines the link between seaport authority container terminal leasing policy and throughput productivity. Recent advances in inventory theory applied to service industries suggest the pooling of demand uncertainty can yield lower costs without sacrificing customer service. This concept is applied to a container seaport using simulation. The effort compares key output measures from a realistic base case model of the seaport to those generated by an alternative terminal leasing policy. It is shown that the pooling of demand in a common-user seaport reduces total vessel time in port by 17.1% with no reduction in TEU throughput. Throughput productivity is improved for the highest capacity terminals, while lower capacity terminals are made available for additional users or alternative uses.     

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.     

港口枢纽集装箱运输的协调评价

港口枢纽集装箱运输的协调程度对该系统的发展有着很大的促进或制约作用。通过建立港口枢纽集装箱运输的协调评价指标体系和协调评价模型,找出影响系统协调的主要因素和薄弱环节,从而对港口管理部门采取有力措施进行经营决策以争取系统的最大利益,以及制定港口发展规划具有一定的指导意义。     

Optimal container ship size: a global cost minimization approach

ABSTRACT

Currently, the best container ship size in a service is determined mainly by the liner operator, considering only the economies of scale of ships. Its external diseconomies to the ports and shippers are usually not considered in the decision-making process, which may reduce the overall efficiency and lead to global nonoptimality. This study incorporates the cost to the shipping companies at the main lines, ports, and feeder services, as well as the external costs to shippers and ports in a hub-and-spoke network, and determines the best ship size and the number of weekly services to minimize the overall costs. The external cost to the shippers in the feeder ports is assumed to be proportional to the feeder cost, and a sensitivity analysis is provided. The maximum container ship size is estimated according to different levels of freight demand. A numerical analysis shows that the optimal size should be smaller than the current biggest container ships in service.     

Liner shipping service optimisation with reefer containers capacity: an application to northern Europe–South America trade

Increasing the number of vessels in a container liner service while reducing speeds, known as slow steaming strategy, has been a short-term response since 2008 to the challenges of over-capacity and the rise in bunker prices faced by shipping lines. This strategy, which reduces the fuel cost per voyage but increases the operating costs as more vessels are added to the service, is difficult to sustain when the transit time significantly affects the transportation demand. This article proposes a model applied to this situation, referred to as a case of optimal speed under semi-elastic demand, for which containerised perishable product transport is sensitive to time, while frozen and dry products are not. It investigates if slow steaming is still optimal when working to maximise the total profit on the cycle. In order to demonstrate the proposed model, a numerical application is carried out for a direct Northern Europe to East Coast of South America container service, a route selected due to the high volume of fresh products. For this application, the speed that maximises the total profit with inelastic and semi-elastic demand is then estimated for several bunker fuel prices.