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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.

Considering the impact of the Free Trade Zone (FTZ) policy on forecasting the port cargo throughput, this paper constructs a fractional grey multivariate forecasting model to improve the prediction accuracy of port cargo throughput and realize the coordinated development of FTZ policymaking and port construction.

Considering the effects of data randomization, this paper proposes a novel self-adaptive grey multivariate prediction model, namely FDCGM(1,N). First, fractional-order accumulative generation operation (AGO) is introduced, which integrates the policy impact effect. Second, the heuristic grey wolf optimization (GWO) algorithm is used to determine the optimal nonlinear parameters. Finally, the novel model is then applied to port scale simulation and forecasting in Tianjin and Fujian where FTZs are situated and compared with three other grey models and two machine learning models.

In the Tianjin and Fujian cases, the new model outperforms the other comparison models, with the least mean absolute percentage error (MAPE) values of 6.07% and 4.16% in the simulation phase, and 6.70% and 1.63% in the forecasting phase, respectively. The results of the comparative analysis find that after the constitution of the FTZs, Tianjin’s port cargo throughput has shown a slow growth trend, and Fujian’s port cargo throughput has exhibited rapid growth. Further, the port cargo throughput of Tianjin and Fujian will maintain a growing trend in the next four years.

The new multivariable grey model can effectively reduce the impact of data randomness on forecasting. Meanwhile, FTZ policy has regional heterogeneity in port development, and the government can take different measures to improve the development of ports.

Under the background of FTZ policy, the new multivariable model can be used to achieve accurate prediction, which is conducive to determining the direction of port development and planning the port layout.

Just-in-Time (JIT) arrival in the context of port calls can be used to reduce fuel and emissions to achieve environmental targets. The purpose of this paper is to study the implementation process of the Pre-booking Berth Allocation Policy (PBP) and analyze the effectiveness of this policy for the implementation of JIT in port calls.

The study deploys a single case study approach to empirically analyze port authority’s transition from a first-come-first-served (FCFS) arrival policy to the PBP. Observations, interviews and documents were used to collect data during 2020–2022. The analysis deployed the capability, opportunity, motivation and behavior model.

The transition from FCFS to PBP requires an inter-organizational approach, engaging external actors to manage diverse needs and preferences. This fosters effective transition and addresses conflicting interests. The PBP enables JIT arrival, enhancing operational and environmental performance, but faces barriers such as resource dependency and lack of trust. Information sharing capability among the actors, supported by Port Community Systems and adjusted operating rules, is crucial. Moreover, the PBP facilitates integration between sea and hinterland transportation, improving planning and efficiency across maritime transportation chains.

The single case study limits the generalizability of the findings.

Implementing the PBP is complex and demands careful planning from managers. Involving port call actors in the transition is helpful for port managers because they provide valuable feedback and highlight overlooked issues.

Five propositions are suggested to highlight the role of inter-organizational collaboration, information sharing and overcoming barriers such as resource dependency to successfully realize the benefits of JIT in maritime transportation chains.

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.