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In this paper, an indicator of network resilience is defined that quantifies the ability of an intermodal freight transport network to recover from disruptions due to natural or human-caused disaster. The indicator considers the network's inherent ability to cope with the negative consequences of disruptions as a result of its topological and operational attributes. Furthermore, the indicator explicitly accounts for the impact of potential recovery activities that might be taken in the immediate aftermath of the disruption to meet target operational service levels while adhering to a fixed budget. A stochastic mixed-integer program is proposed for quantifying network resilience and identifying an optimal postevent course of action (i.e., set of activities) to take. To solve this mathematical program, a technique that accounts for dependencies in random link attributes based on concepts of Benders decomposition, column generation, and Monte Carlo simulation is proposed. Experiments were conducted to illustrate the resilience concept and procedure for its measurement, and to assess the role of network topology in its magnitude.

Roll on–roll off (RoRo) shipping represents a maritime segment that could easily form part of an intermodal transport system, as cargo does not need to be lifted in ports; it is ‘rolled’ to and from sea. This paper investigates the operation of RoRo shipping services in Northern Europe, focusing on a set of services chartered by a major shipper whose demand has a great impact on the service design, potentially affecting the frequency of departures and even stipulating the use of specific vessels. The case of cooperation between Stora Enso, a major forest company in Sweden and Finland, and the shipping company Swedish Orient Line (SOL) is analysed, giving some insight into the way these RoRo services operate and manage to integrate successfully into sustainable intermodal transport chains. Despite various initiatives taken by different stakeholders, the level of integration of shipping in intermodal transport chains has been quite slow. This paper’s results could contribute to the identification of barriers that prevent RoRo shipping from being a viable alternative to road transport for certain transport routes and assist in the discovery of policies and incentives that could lead to developing sustainable intermodal transport chains.

The sustainable performance of the intermodal transport chain has gained popularity in recent decades, especially due to climate change and numerous European laws aimed at minimizing the negative impacts of transport. In this paper, we have developed a novel three-phase, two-stage approach that is a combination of distance-based analytic hierarchy process/data envelopment analysis (AHP-DEA). The added value of this multi-criteria approach is in evaluating a sustainable intermodal transport chain, with prioritization of the most efficient combinations of transport in accordance with the weights derived from its users. Instead of the classic pairwise comparison, the weights of the criteria were determined using a new distance-based AHP method in which respondents were asked to sort the criteria (transportation time, price, emissions, and variability) pre-selected from the literature in order of greatest importance. Therefore, the approach determines the most efficient transport chain in the transportation corridor. Since a transportation corridor was previously defined, the settings for this corridor were set to constant initial variables. In this way, the above criteria were chosen as inputs, with DEA aimed at minimizing these variables and presenting the results in ranks from highest to lowest efficiency. The potential of our approach was presented in a case study, where the most efficient of the selected transport chains between Asia and the northern Adriatic were chosen. The results show that there are different intermodal transport chains, each of which consists of either maritime and rail transport or maritime and road transport. The paper concludes that the presented multicriteria approach has greater discriminatory power than the current DEA, as well as greater flexibility, since the weights can be derived faster and more effortlessly than is typical. Therefore, this method can help transportation organizers to determine which intermodal transportation chain is the most efficient or sustainable in any given situation.

The design of intermodal freight terminals requires extensive research and a thorough analysis of the technical, financial and organizational aspects. In the paper, the operation of the reposition of large cargo containers (one of the types of intermodal transport units, ITUs) on the dedicated places is subjected to a discussion. The analysis is carried out with the use of a vehicle equipped with a telescopic arm, such as a reach stacker. The considered storage facility is reduced to a block characterized by spatial accumulation given in the paper. The description of the procedure for the execution of the handling operation from the arrival of a tractor-trailer with a container into a terminal, followed by the ITUs being set aside in a dedicated place and, in the end, the departure of the truck without load, is given in the paper. The activities are described in detail in order to present a descriptive model of particular operations upon entry to the intermodal freight terminal. Moreover, the paper contains relevant figures illustrating the various steps of realization and the analysis of duration of activities supported by actual realizations. The durations of the individual activities described in the paper are experimental, and the results have been validated on real-world intermodal freight terminals. Therefore, the authors believe that the obtained values may be used in analytical, simulation and numerical models of intermodal freight terminals.

A high-quality infrastructure and technical base is a vital factor in the development of intermodal transport in transport systems. Intermodal transport terminals are the most important component of a combined transport infrastructure, providing an essential connection between different modes of transport. This article deals with the issue of where to locate intermodal transport terminals within a transport network. In reality, this decision comes down to the potential of a particular location (e.g., an industrial park) and the critical role of private investors. These are mostly subjective factors, whereby little or no consideration is given to objective criteria. Within this context, it is extremely important that decisions are taken with regards to the development and construction of public networks, and economically neutral intermodal transport terminals by independent subjects are based on a non-discriminatory approach. In other words, it is essential that such terminals are built in places that comply with the stated priorities of the transport policy of a specific state. In this article, the author puts forward a method for determining the location of terminals that are based on the optimisation of several influential factors. The specified methodology is applied to a case study in Slovakia. The theoretical part of the article deals with the nature of the method to be applied. The discussion part involves a case study concerning the (potential) location of intermodal transport terminals in the Slovak Republic.

The article deals with a specific research study discussing the possibility to revitalize a specific non-functional intermodal transport terminal. The structure of the manuscript consists of five sections. The first part is focused on the analysis of the subject being investigated in important scientific publications. The second part of the article presents a brief analysis of the current situation concerning intermodal transport in the Czech Republic and emphasizes the need to build an intermodal transport terminal in the South Bohemia region. The third section describes the contemporary state of the Nemanice transshipment station, provides a calculation of the terminal transport potential, which is thereafter used in the next paper section in order to design individual terminal elements. The objective of this study is to propose an approach methodology regarding the terminal connection to railway and road infrastructure, necessary quantification of the transport potential, which subsequently defines the operational need for handling equipment, and other parameters of the terminal fundamental elements. This methodological guideline is based on variant recommendations to equip the terminal with various handling devices, which are then evaluated, applying the exact decision making methods. Such an evaluation is included in the fourth part of the article. Here, the authors try to find out which terminal equipment is the most appropriate in terms of overall terminal efficiency. The last part of the manuscript is devoted to the final discussion of the key findings and conclusion containing an insight into potential future projects or studies to be addressed.

The paper deals with the methodology of handling equipment designing in intermodal transport terminals. The overall performance of the intermodal transport terminal, and hence its effectiveness, is most affected by the capacity of handling equipments that transfer intermodal transport units between transport modes. The first part of the paper describes the various types of handling equipments conventionally used in intermodal terminals. The second part of the paper contains the basic characteristics of the methodology of designing specific handling equipment and provides a calculation methodology for determining the operational needs of intermodal transport terminals.

Transparency in transport processes is becoming increasingly important for transport companies to improve internal processes and to be able to compete for customers. One important element to increase transparency is reliable, up-to-date and accurate arrival time prediction, commonly referred to as estimated time of arrival (ETA). ETAs are not easy to determine, especially for intermodal freight transports, in which freight is transported in an intermodal container, using multiple modes of transportation. This computational study describes the structure of an ETA prediction model for intermodal freight transport networks (IFTN), in which schedule-based and non-schedule-based transports are combined, based on machine learning (ML). For each leg of the intermodal freight transport, an individual ML prediction model is developed and trained using the corresponding historical transport data and external data. The research presented in this study shows that the ML approach produces reliable ETA predictions for intermodal freight transport. These predictions comprise processing times at logistics nodes such as inland terminals and transport times on road and rail. Consequently, the outcome of this research allows decision makers to proactively communicate disruption effects to actors along the intermodal transportation chain. These actors can then initiate measures to counteract potential critical delays at subsequent stages of transport. This approach leads to increased process efficiency for all actors in the realization of complex transport operations and thus has a positive effect on the resilience and profitability of IFTNs.

Most of today’s inland freight transport in Switzerland is operated on the road system. In this study, an innovative agent-based simulation approach is developed to investigate the potential shift from road to rail. In a first step, future freight demand for inland road transport is calculated based on official governmental forecasting tools provided by ARE (Bundesamt für Raumentwicklung, Switzerland). In a second step, the agent-based simulation framework Multi-Agent Transport Simulation (MATSim) is used to investigate different supply concepts and estimate the mode shift effect from “road-only” to “intermodal road and rail transport”. The simulated transport supply consists of the road network, the rail network, the cargo rail schedule, and the terminals where containers are loaded from Heavy Goods Vehicles to cargo trains and vice versa. For both, the road and rail system, dynamic queuing effects are explicitly taken into consideration. The illustrative case study for Switzerland reveals that intermodal road/rail transport provides a great potential to reduce road traffic. From the users’ point of view, switching from road to intermodal transport yields an average cost reduction of 46%. Even without any optimization of the transit schedule and terminal capacities, a significant trip share of 23% is shifted from road to intermodal transport. Both train and terminal capacities as well as the number of train departures per origin destination relation are limiting factors and have a crucial impact on the demand for intermodal transport.