Determinants of container port choice in Spain

For the economic and financial evaluation of port investment projects, it is important to know the demand function of a port's services. The objective of this study is to establish such a demand choice function for the Spanish container port services. The function is derived from the coefficients of a port choice model, for which a multinomial logit model is used and of which the coefficients are estimated with regression analysis. The variables tested concern inland transport cost, ocean transport costs and broad proxy variables for quality of service. Information on container import and export flows for 2007 is obtained from the Spanish Treasury Department. The linear regression analysis is based on differences of utilities of alternative routings of containerised cargoes compared to those routed via the port of Valencia. The obtained results are satisfactory in terms of model fit. The estimated coefficients can be used to assess the impact of changes in costs of container flows routed via a port on a port's market share. A demand choice function for the port can be derived by systematically doing so. An example is presented for the port of Valencia.     

Analyzing ship investment behaviour in liner shipping

This study analyzes capacity expansion and ship choice decisions. Theoretically, we derive the probability of capacity expansion as a function of market and company attributes and characterize the impacts of these factors on expansion decisions. Empirically, we analyze ship investment and ship choice behaviour using binary choice and nested logit models based on ship investment data from major liner shipping companies over the period 1999 to 2009. Most expansion decisions are found to be market-driven, and large companies expand to maintain their market shares. In terms of ship selection, statistical results support the assumption that shipping companies decide on a new order or second-hand purchase before considering the ship size. Also, new orders are preferable to second-hand purchases. For new orders, the preference increases with ship size, and decreases with shipbuilding length and demand growth rate. For all ship types, the preference increases with a high and stable time-charter rate. For second-hand ships, handysize is the most preferable size. The substitution of new orders and second-hand purchases is possible, but not symmetrical.     

Public preference for the attributes of the marina port in Korea: a choice experiment study

As of late, the Korean government needs quantitative information on economic feasibility analysis for marina port development projects. This study applies a choice experiment to measure public preference for the attributes of marina port in Korea. We consider the trade-offs between price and four attributes of marina port (capacity, access, waterfront, and program) for selecting a preferred alternative and elicit the marginal willingness to pay (MWTP) estimates for each attribute. We also test whether irrelevant alternatives property for the estimation model holds and compare the estimation results of the multinomial logit (MNL) and the nested logit (NL) models. The results show that the NL model outperforms the MNL model. In the NL model, MWTPs for increasing the level of a waterfront from promenade to both promenade and rest area and for the provision of marine leisure experience program are KRW13 384 (USD11.8) and KRW17 937 (USD15.8), respectively. This study is expected to provide policymakers with quantitative information for evaluating marina port construction projects in Korea.     

An empirical model for estimating berth and sailing times of mega container ships

ABSTRACT

We provide two empirical models for calculating the sailing time and berth time of maritime container liner networks to effectively model the ambiguity associated with sea and port contingency for ex-ante decisions of fleet deployment and route planning. The models are based on recorded AIS data of 110 mega vessels including all the operating container mega vessels with a capacity of 16,000 TEU or more during the summer of 2015. The models are able to estimate the sailing time (with R² of 0.974) and the berth time (with R² of 0.895) without knowledge of any operational-level explanatory variables. The models are validated against the published East Asia–North Europe services. Moreover, the study reveals that vessel operators adopt different berthing and sailing strategies even under the same conditions.     

Activities,resources and inter-organizational relationships: key factors in port competitiveness

In the last decade, the port economics literature has given great emphasis to the Supply Chain Management approach as the new paradigm for the definition of port competitiveness. SCM supports the development of partnerships between the actors of the supply chain and considers the integration of activities and resources along business processes as source of competitive advantage. Nevertheless, the application of SCM approach to the port is particularly compiex given the traditional hostile relationships between port actors. In the effort to overcome such complexity, some authors have considered ports as Logistics Service Providers and interpreted their role within supply chains through the integrative practices undertaken by Global Players–mainly Shipping Companies and Terminal Operators–in the supply of integrated logistics services. Even tough these actors are crucial for the port competitiveness, they determine a passive role of port in the new competitive scenario. The definition of a potential and pro-active role of port in the supply chains is the objective of this paper that presents, through a literature review on SCM and port competitiveness, a new framework for port competitiveness. According to this framework, that is based on the value constellation concept value is generated by joint effort of port actors in the satisfaction of clients' needs, through the exploitation of different I mterdependencies (serial, pooled and reciprocal) between supply chains. In this context, Port Authority has a I fundamental role in identifying those resources–the so called critical assets–that encourage the development of inter-organisational relationships between port actors in the value generation process.     

Comparative analysis of port competency requirements in Vietnam and Korea

ABSTRACT

Much research has been conducted recently on the changing role of ports in the context of international logistics and supply chain management focusing on issues such as port efficiency and competitiveness. However, little research has been found on the critical aspect that contributes to making a port efficient and effective, especially, in the new era: the port human capital. As seaports play a critical role in the supply chain, it is thus important that the port personnel possess necessary competencies to contribute to port efficiency and turn the port into an effective supply chain partner. In this paper, this research issue is explored through a conceptual model of competencies and validated empirically by a survey with port executives in Vietnam and Korea. As a result, important managerial insights are drawn to the design and implementation of human resource development policy for ports.     

Influential factors in the design of port infrastructure tariffs

ABSTRACT

The main aim of this article is to examine the factors influential to the practical process of port infrastructure tariff design. The analysis is based on the survey data of 67 seaports representing the Australasian, East Asian, European, North American and South American regions. Exploratory factor analysis (EFA) was first carried out to identify the factors influential to the selection of the infrastructure tariff design model. Subsequently, confirmatory factor analysis (CFA) was used to confirm the relationship between the variables. The findings showed that demand, knowledge about pricing theories, the dynamics of port and shipping sectors (including competition and ship size), pricing objectives and port cost consideration are influential factors in infrastructure tariff design. Most ports use a mix of pricing approaches including price discrimination, cost-based pricing and market-based pricing. Ports are aware of the basic pricing approaches but have limited knowledge of their application. Based on the results of analysis, policy implications for port management in designing port infrastructure tariffs, limitations and recommendations for future research are discussed.     

Smaller ports’ evolution towards catalysing sustainable hinterland development

ABSTRACT

From simple organizations as gateways for goods and passengers, ports have evolved and transformed into complex organizational systems with multiple functions. Besides providing cargo, logistics, and other kinds of services to its customers, modern ports engage in the development of their hinterlands. Sustainability, evolving from environmental actions over the years, has become the core of many modern ports’ approach towards hinterland development and port competitiveness. While the literature is concerned with and presents examples of large ports implementing sustainability initiatives, the literature is scarce on smaller ports. This article addresses this gap by exploring qualitatively the case of the Port of Aalborg, a medium-sized port in Denmark, and its evolution towards using sustainability for port and hinterland development. The research focuses on the actions behind environmental development at the port. Its evolution is mapped and explored using the analytical framework developed based on the (larger) ports’ development and their roles. The findings from the Port of Aalborg case exemplify how smaller ports can evolve to drive the sustainable development of their hinterlands and contribute to a better understanding of this kind of port.     

An application of BBNs on the integrated energy efficiency of ship–port interface: a dry bulk shipping case

ABSTRACT

A considerable amount of energy is consumed with every completed ship voyage and each port operation performed. Recent regulative approaches by the IMO are to enforce the shipping industry to become more energy efficient and sustainable. There is a growing amount of literature on the energy efficiency management of ships and ports. However, there is still inadequate research effort on the ship–port interface in order to obtain an Integrated Energy Efficiency framework for marine transport operations. In this research, a theoretical concept is generated to measure holistic energy efficiency in shipping operations. The main purpose of this paper is to identify nodes of the integrated ship-port energy efficiency framework and develop a probabilistic approach, which can help to increase energy efficiency and reduce CO2 emissions for shipping companies. This research generates an application of BBNs on ship–port interface regarding the integrated operational energy efficiency interactions by aiming to optimise holistic operational energy efficiency and CO2 emissions. The outcomes suggest that it would be possible to increase the probability of a more energy efficient and sustainable marine transport operation by integrating the influences of port and ship operation performances and their elements on the related route planning and slow steaming decision-making.     

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.     

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).     

Port e-Transformation,customer satisfaction and competitiveness

ABSTRACT

e-Transformation in container ports means port organization-wide innovative transformation encompassing internal and external value chains based on information and communication technology. There is a considerable theoretical literature on the impact of e-Transformation on business performance, but there is very little empirical study on its effectiveness in ports. The objective of this paper is to empirically investigate how e-Transformation in container port management can influence customer satisfaction and port competitiveness. The findings reveal that e-Transformation in container ports can affect customer satisfaction and port competitiveness through e-Workplace, customer relationship management and security, implying that container ports should make every effort to focus on e-transformation in these critical areas. Due to limited empirical studies in this area, the findings have provided an empirical support for the importance of e-Transformation in container terminal management and shed more light on how e-Transformation can affect customer satisfaction and port competitiveness.     

A three-dimensional risk management model of port logistics for hazardous goods

ABSTRACT

Ports are the distribution centers of hazardous goods in the global transportation system. Once hazardous goods accidents occur in ports, they may cause catastrophic losses to humans and the environment. This research investigates the port logistics risks of hazardous goods and provides an overview of port logistics regarding hazardous goods risks. With this investigation, we conducted a detailed analysis of the underlying causes of the port logistics accidents related to hazardous goods. To manage these risks, this article proposes a three-dimensional risk management model that includes human, governance and goods and provides a risk level identification framework for port hazardous goods logistics. Applying the three-dimensional risk management model, we use the Tianjin port explosion as a case study. Finally, we provide several potential preventative measures to prevent such accidents. The findings of this article contribute to the implementation and monitoring of port strategies that will allow for more sustainable and secure development.     

Empirical approaches to combining revealed and stated preference data: Some recent developments with reference to urban mode choice

This paper replaces the nested logit ‘trick’ used in estimation of a modal choice model, when stated preference (SP) and revealed preference (RP) data are pooled, with an error component mixed logit model that can (i) relax the IID condition attached to subsets of alternatives in nested logit models, (ii) accommodate correlated observations, and (iii) reveal the relevant scale parameter for subsets of alternatives. Such a model can also incorporate state dependence between data types and preference heterogeneity on observed attributes. An example of choice among bus, train and car modes illustrates the difference in empirical evidence, especially elasticity outputs.     

Cruise traveler satisfaction at a port of call

ABSTRACT

No studies have been conducted on cruise traveler expectations for a port of call in Asia. Current literature on general tourism shows that the research to measure traveler satisfaction is divided into two dominant approaches, the disconfirmation model, based on the Expectancy Disconfirmation Paradigm, and the perceptions-only model. However, previous disconfirmation models used different sample populations to measure traveler expectations and perceptions, resulting in biased results. The main objectives of this research was two-fold: (1) to develop a measurement scale for evaluating the expectations of cruise travelers during their visit to a port of call; and, (2) to examine the satisfaction of cruise travelers using the same sample population of the pre-visit expectations and post-visit experiences. The measurement scale for cruise travelers was developed using exploratory factor analysis and confirmatory factor analysis. Three factors, “Overall convenience/People,” “Culture/Exploration,” and “Commodities/Attractions,” were extracted from the analysis. Among these factors, the “Culture/Exploration” factor explained the largest part of overall satisfaction. The results also showed that the perception-only model outperformed the disconfirmation model in explaining overall satisfaction. Additionally, overall satisfaction was found to have a greater impact on the intention to recommend the visit to others than on the intention to revisit.     

A disaggregate analysis of factors influencing port selection

In this paper are presented the results of a multinomial logit model used to explain the selection of a port for each shipment exported from the US in December 1999. The model is estimated for combined shipments, and one model is estimated for each of four commodity types (bulk, foods, fabrics, manufactured). Results are compared across commodities to find the significance of the distance in either direction, the frequency of sailings, and the average size of vessels sailing along a route. Results of the estimation do not match those that would be expected. Potential reasons are given for such variations, along with numerous methods by which the modelling could be improved. Methods for improvement suggested include structuring of the model to represent more accurately the competitive scenario of each port, constraining the choice set for each shipments from characteristics of the carrier, and the commodity.     

乘潮水位估计的逐时潮位统计法

针对海岸港口的乘潮水位计算问题,提出了逐时潮位法计算给定延时和保证率条件下的乘潮水位。该方法从潮位过程线上读取逐时潮位观测资料对应的持续时间,按潮位和延时分组进行二维统计,从统计结果中抽取所需计算延时的潮位序列,根据序列绘制累积频率曲线得到所需保证率的潮位值。该方法与规范法的计算结果相差不大,但在绘制累积频率曲线能减少约50%的计算量,将有效减少机时,提高工作效率。通过该方法计算得到了日照港年和季的乘高潮水位,计算结果表明船舶在乘潮进入日照港时,需特别考虑季节因素的影响。     

A disaggregate analysis of factors influencing port selection

In this paper are presented the results of a multinomial logit model used to explain the selection of a port for each shipment exported from the US in December 1999. The model is estimated for combined shipments, and one model is estimated for each of four commodity types (bulk, foods, fabrics, manufactured). Results are compared across commodities to find the significance of the distance in either direction, the frequency of sailings, and the average size of vessels sailing along a route. Results of the estimation do not match those that would be expected. Potential reasons are given for such variations, along with numerous methods by which the modelling could be improved. Methods for improvement suggested include structuring of the model to represent more accurately the competitive scenario of each port, constraining the choice set for each shipments from characteristics of the carrier, and the commodity.