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The cruise tourism industry has experienced a positive evolution, with an average annual growth rate in the worldwide number of cruise passengers of 7.84% between 1990 and 2013. This chapter presents an empirical analysis particular to Spanish cruise ports and their associated tourist hinterlands. With regard to cruise ports, an evolution analysis and port portfolio analysis technique using the growth-share matrix for the period 2000–2013 is applied in order to identify the competitive positions of a range of 18 ports in the Spanish Mediterranean coast. While for the tourist hinterland of each port is characterized the geographical area encompassed. The results obtained identify the different competitive positions of ports and the different types of hinterlands characterized.

Disruptions at ports may destroy the planned ship schedules profoundly, which is an imperative operation problem that shipping companies need to overcome. This paper attempts to help shipping companies cope with port disruptions through recovery scheduling.

This paper studies the ship coping strategies for the port disruptions caused by severe weather. A novel mixed-integer nonlinear programming model is proposed to solve the ship schedule recovery problem (SSRP). A distributionally robust mean conditional value-at-risk (CVaR) optimization model was constructed to handle the SSRP with port disruption uncertainties, for which we derive tractable counterparts under the polyhedral ambiguity sets.

The results show that the size of ambiguity set, confidence level and risk-aversion parameter can significantly affect the optimal values, decision-makers should choose a reasonable parameter combination. Besides, sailing speed adjustment and handling rate adjustment are effective strategies in SSRP but may not be sufficient to recover the schedule; therefore, port skipping and swapping are necessary when multiple or longer disruptions occur at ports.

Since the port disruption is difficult to forecast, we attempt to take the uncertainties into account to achieve more meaningful results. To the best of our knowledge, there is barely a research study focusing on the uncertain port disruptions in the SSRP. Moreover, this is the first paper that applies distributionally robust optimization (DRO) to deal with uncertain port disruptions through the equivalent counterpart of DRO with polyhedral ambiguity set, in which a robust mean-CVaR optimization formulation is adopted as the objective function for a trade-off between the expected total costs and the risk.

There are two objectives of this study: to analyze gaps in customer satisfaction and to test the customer loyalty gap on the basis of the reputation of Busan New Port. This study identifies the relationships between variables as well as the conceptual and operational definitions using prior research. Data was collected from 93 members of the International Freight Forwarders Association. The reliability and validity of the data was analyzed and the relationships between the variables were tested by analysis of covariance. The results are as follows: First, the reputation of Busan New Port means the abilities in which the port provides valuable benefits to international freight forwarders. The analytical results show that there is a gap in customer satisfaction between high- level and low- level reputation. Second, the levels of reputation are based on the gap in customer loyalty. This means that there are gaps in the friendly attitude of international freight forwarders and sustainable usage on the basis of the varying levels of port reputation.

This paper introduces a macro traffic flow model of carbon dioxide emissions from container ports. As long as both the throughput and the transshipment rate of the port are available, any port in the world can use it to estimate emissions. Initially, two Japanese container ports are used as reference points to derive the equivalent units of carbon dioxide per TEU for application to other ports. Then macro traffic flows within a container port are defined. Finally, carbon dioxide emissions from different container ports are estimated using the macro estimation procedure introduced in this paper. The results of trial estimations for selected ports among different countries highlight that the impacts of container ports on global warming are serious. This issue will be intensified if competition is increased by the larger container ports aspiring to be international mega hubs.

Implementations of inter-organizational networks are common, following a growing diversity of cooperative modes between the independent companies associated in these networks.

Their scientific analysis has recently intensified, attention to network structures obviously including the study of the way their performance can be measured. Although academic research has mostly dealt with the performance of the network’s members, the concern of this article is rather with the performance of the global network.

Among the numerous forms of existing inter-organizational networks, maritime port communities are complex organizations which have to deal with operational synchronization, strategic cohesiveness and global performance measurement problems.

This article therefore mainly describes a port performance measurement system (PPMS): built in a predominantly empirical research context, the performance model and the associated measurement indicators illustrate the kind of network-level dedicated, performance control systems, on which port communities need to rely when designing their global strategy.

In recent years, ports have experienced a period of significant growth and development along with intense inter‐port rivalry as a consequence of intermodality and hinterland development. It is therefore vital that port management bodies define and implement suitable strategies. This paper aims to adapt the benchmarking technique to the sphere of ports. Compares the activity of a port with that of its competitors, which is considered to be excellent. This is a strategic approach where consideration of the needs of the client, shipping lines and export‐import companies is the axis of the benchmarking process.

June 8, 1970 Docks — Port Talbot — “Dock estate” — Meaning — New harbour and jetty built adjacent to old harbour — Whether part of port of Port Talbot — “Dock work” — “Discharging from ship” — Discharging ore in continuous operation involving work with unloaders, belt conveyor system and primary boomstacker in stockyard — Stacking in stockyard — Whether dock work ordinarily performed by dock workers at Port Talbot — Dock Labour Scheme for South Wales Ports (1942) App. (4) — Port of Port Talbot Registration Amended Scheme (1943) Sch. para. I (1) (a) — Dock Workers (Registration of Employment) Act, 1946 (9 & 10 Geo. VI, c. 22), s. 2(5)(6) — Dock Workers (Registration of Employment) (Amendment) Order, 1967 (S.I. 1967,No. 1252), Sch. 2, App. I M. (4).

This paper deals with the performance of port clusters. Port clusters are analyzed using a framework that draws from different schools that deal with clusters (see De Langen, 2004). Central to the framework is the identification of eight variables of cluster performance. Four of those-agglomeration and dis-agglomeration forces, internal competition, heterogeneity of the cluster and the level of entry and exit barriers-are related to the structure of a cluster and fourthe presence of trust, the presence of intermediaries, the presence of leader firms and the quality of collective action regimes-are related to the governance of clusters. The validity of these variables is confirmed in three case studies, of the port clusters of Rotterdam, Durban, and the lower Mississippi. The strengths and weaknesses of the three port clusters, the importance of the variables discussed above and opportunities for policy and management to improve the performance of clusters are discussed. The results of this study are relevant for cluster scholars and for scholars specializing in port studies and, since implications of this study for policy and management in (port) clusters are discussed, the study is also relevant for (port) cluster managers and for managers affirms in (port) clusters.

The Yangtze River Delta (YRD) has become the world’s most important container-export area in the world because of the huge growth of container volume from China. Shanghai, the gateway of the YRD, handles most of the cargoes. But the nature of river port has restricted its development, which forced China to built the Yangshan deepwater port to act as the mega hub in the region. In response to the emergence of the YRD and Yangshan, two traditionally transshipment centers in the region, Busan and Kaohsiung, have implemented strategies to in response to the emergence of YRD and Yangshan. This paper analyzes Busan’s and Kaohsiung’s strategies and tries to forecast the development of these ports. Research result shows Busan is aggressive and ambitious but that Kaohsiung has little chance of becoming the mega-hub in the region.