Seaport Rijeka is the largest seaport in Croatia. It specializes in transport of cargo, with the primary activities of loading, unloading, storage and transport of general cargo, timber, bulk cargo, livestock, containers, and other cargo at five specialized terminals. It is focused on increasing the quality of services and the competitiveness of the transport routes in Croatia. Due to its favourable position on the TEN-T network, Seaport Rijeka provides the shortest maritime connection between the countries of Central and Eastern Europe as well as the overseas countries. In the past 20 years Seaport Rijeka keeps record of continuous growth in container traffic. Due to increasing demand in container traffic, it seeks for the solutions to expand. One of the possible solutions that would satisfy the increasing demand in container traffic is establishing a dry port. Dry port is an inland intermodal terminal which has direct connection to the seaport by road or rail and its main purpose is to provide logistic activities and transport to inland destinations. Dry ports have many advantages, faster transport of cargo from seaports, use of more efficient modes of transport, providing facilities for the storage and consolidation of goods, the maintenance of road or rail freight carriers, customs services, etc. In the case of container transport, dry ports can be used to outsource the logistic activities of transport process, away from congested area of seaports. Due to the fact that Seaport Rijeka is reaching the limits of its capacity, one of possible solutions of its expansion is establishing a dry port. The focus of this paper is to prove that establishing a dry port would speed up the transport process of containers between Seaport Rijeka and its destinations. Due to this hypothesis, four simulations were made. First simulation shows the transport process in the existing set-up of the Seaport Rijeka. Second, third and fourth simulation shows the transport process in the future possible set-up of the Seaport Rijeka with established dry port in Miklavlje, Zagreb or Vinkovci.

Safety management systems are used to systematically manage safety risks. The paper describes and explains safety management systems in the field of aviation. Three aviation safety management methodologies are presented in the paper: reactive, proactive, and predictive. The aim is to show how safety management systems operate in each of the three methodologies. The focus of the paper is on predictive safety management methodology, its advantages, and potential uses. An overview of predictive methods used in the aviation industry is also provided. The research collected information on each safety management methodology, and revealed correlations between them, improving our understanding of safety management systems in general. Based on research described in the paper, the author proposes the development of a more advanced safety management system, i.e. a predictive safety management system which would entail the development of an expanded and well-organised safety database, as well as the use of predictive (forecasting) methods to identify potential and emerging hazards, trends and behaviour patterns.

Seaport Rijeka is located and connected to the strategic EU TEN-T transport routes (Mediterranean and Baltic–Adriatic Corridor). Seaport Rijeka represents the shortest connection between Central and Central-Eastern Europe, and overseas destinations, by land and sea, and is in an excellent position to take advantage of its location. Being the largest and busiest seaport in Croatia, with constant increase in cargo traffic, especially container traffic, with inadequate and incomplete transport infrastructure that creates congestion, Seaport Rijeka will soon reach its capacity limits. One of the possible solutions that would satisfy the increasing demand and mitigate existing problems is establishing a dry port. Establishing a dry port serving Seaport Rijeka on the EU transport routes would greatly contribute to the strategic and operational plans of the EU and Croatia. The focus of this paper is to determine the optimal dry port location for Seaport Rijeka. The AHP methodology was used to determine the optimal dry port location of the Seaport Rijeka, by analyzing a large set of influential factors. The analysis was performed for three groups of possible dry port locations (close, medium distance and distant). Results suggest that optimal dry port locations for Seaport Rijeka are in Miklavlje, Velika Gorica and Vinkovci.

Due to the continuous growth of air traffic and the development of aviation systems, the current safety management methodologies should be improved and upgraded. Safety management systems help aviation organizations to manage, maintain and increase safety efficiently. The focus of the research is on the development of the predictive safety management methodology to upgrade current reactive and proactive safety management methodologies and to improve the overall safety level in aviation organizations. Predictive methods are used in various aviation sectors (air navigation services, airport operations, airline operations) for planning purposes but not in the segment of safety management. Available examples of predictive methods were tested and analyzed. Time series decomposition methods were selected as most suited for implementation in aviation safety management. The paper explicitly emphasizes correlations between safety management methodologies in the sample aviation organization. The paper also shows how causal links among organizational and safety performance indicators can be detected, by developing causal models of mutual influences using causal modeling methods, on the sample organization. This research defined steps and tools of the conceptual model of predictive safety management methodology, which enables an organization to identify and mitigate future adverse events.

A predictive safety management methodology implies steps and tools of predictive safety management in aviation, i.e., use of predictive (forecasting) and causal modeling methods to identify potential and possible hazards in the future, as well as their causal factors which can help define timely and efficient mitigation measures to prevent or restrain emerging hazards turning into adverse events. The focus of this paper is to show how predictive analysis of an organization’s safety performance can be conducted, on the sample airport. A case study regarding implementation of predictive analysis of an organization’s safety performance, was performed at Split Airport. The predictive analysis of an airport’s safety performance was conducted through the analysis of Split Airport safety database, causal modeling of Split Airport organizational and safety performance indicators, outlier root cause analysis of Split Airport safety performance indicators, predictive analysis of safety performance (forecasting of Split Airport organizational and safety performance indicators), and scenario cases that simulate future behavior of Split Airport safety performance indicators. Based on detected future hazards, and their causal factors, the appropriate mitigation measures are proposed for the purpose of improving and maintaining an acceptable level of safety at the airport.