ITT plays an essential role in most large ports around the world with multiple terminals. Efficient ITT operations significantly contribute to port competitiveness. Therefore, the design of efficient ITT operations in the future will pose a considerable challenge for many large seaports. Hu et al. [
2] conducted a comprehensive literature review related to the planning of interterminal transport in port areas and the hinterland. The research was motivated by two factors: the limited research related to the integrated planning of ITT between seaport and inland terminals and the limited studies that summarized the research findings and identified the directions for future research regarding ITT. High-level overall planning is a challenge in major ports around the world because they typically have multiple terminals and facilities, which are often operated by different operators. Therefore, integrated planning is critical for providing effective services. The authors attempt to identify three significant factors for an efficient ITT system: the objectives that should be achieved in ITT system planning, the involvement of the actors, and the methodologies that can be used to support the decision-making process.
Two planning problems should be tackled to achieve the objective in ITT system planning: The strategical planning problem, and tactical and operational planning problem. In the strategical planning problem, the proper design of the terminal layout and choosing the right ITT fleet can affect the port ITT demand and cost. The increasing number of containers entering and leaving container terminals needs to be handled and accommodated adequately. The new layout of the container terminal that makes container transfer between landslide and seaside faster, cheaper, and more efficient is required. Gharehgozli et al. [
8] conducted an extensive literature review on the transition of terminal layout designs from traditional to automated and future container terminals. The author’s study is critical for terminal operators that are looking for technologies and methodologies that can help them to improve their efficiency while at the same time will also increase their terminal capacity and reduce the environmental impacts of their operations. Ottjes et al. [
9] performed a comparison of three-terminal configurations: compact configuration, dedicated configuration, and combined configuration. Firstly, two configurations, compact and dedicated configurations, are two extreme conditions where all terminals are connected with multiple modalities or a single modality. The combined configuration represents the planned layout of the Rotterdam Maasvlakte terminals. From their simulation, the results show that the number of ITT vehicles that is used in the dedicated configuration is two times larger than in the compact configurations. Evers and De Feijter [
10] investigated the options between centralized and decentralized feeder ship service to reduce the ship service time. The results of their study showed that the centralized service can reduce the vessel average in-port time while using the same number of ITT vehicles. The utilization of more than one transport mode (intermodal transport) to transport the necessary container from one location to another has contributed to additional advantages and limitations that will also contribute to ITT system performance. Generally, road transport is commonly used because of its flexibility, but the study of Gharehgozli [
7] found that AGVs and MTSs result in higher operational cost savings due to reduced labor costs. The other transport modes have a trade-off in terms of costing, handling, and waiting time. Railway has a lower transport cost compared to road transport and a higher transport speed compared to waterway transport. However, rail transport requires complicated and long handling time, leading to high ITT costs [
11]. In tactical and operational planning problems, proper planning is intended to minimize the ITT timespan or ITT-related cost. Several operations that may affect ITT timespan are transporting, handling, storing, etc. The potential cost relates to the ITT operation that is vehicle fuel consumption cost, vehicle hiring cost, handling fee, storage cost, lateness delivery cost, etc. Kostrzewski and Kostrzewski [
12] conducted a thorough analysis of a specific intermodal transport unit, that is, reach stacker. The value obtained from the author’s study is very critical for the analysis, simulation, and numerical models of the intermodal freight terminals, which should consider when minimizing the ITT timespan. Some research focuses on allocating a deep-sea vessel to several different terminals in order to reduce the extra storage costs. This research is crucial because when a deep-sea vessel visits a terminal, some containers should be discharged and loaded onto another vessel in another terminal. At the same time, some export containers terminal in the other terminal must be loaded onto this vessel. Without proper vessel allocation, containers will be stored in the yard and wait for the ITT, and it will lead to the additional storage cost. Hendriks et al.’s [
13] study focused on the berth allocation problem to achieve two objectives, which are to balance the quay crane workload over terminals and overtime and to minimize the amount of inter-terminal container transport. Many researchers have also studied the routing of ITT vehicles. Caballini et al. [
14] studied the rail cycle in port and proposed a planning approach to minimize the queuing time in multiple yards. Li et al. [
15] aimed to reduce the travel time in port by considering the possible disturbance such as terminal equipment failure and sudden closing of terminals. Hu et al. [
16] and Hu et al. [
17] focused on integrating ITT within the port area by considering the transshipment operations and railway timetable. The model proposed by the authors can help terminal operators to schedule the ITT fleet and RMGs in terminals. The results of their research showed that more flexible ITT connections and a flexible railway timetable can improve the transport performance of containers that are delivered to the hinterland.
Heilig and Voß [
18] presented an extensive overview of ITT-related research to reflect the current state of ITT research. There are many factors that influence the productivity and efficiency of ITT as well as its economic and environmental implications. ITT can be considered as a large and complex freight transportation network connecting all terminals and other shared port facilities. Therefore, it requires a higher level of coordination because its internal and external container flows and handling activities must be coordinated by at least two separate parties. Extensive studies need to be conducted to obtain a proper understanding of ITT operations and to reduce its operational costs while strengthening long-term competitiveness. From the author’s study, most ITT-related research works focus on modeling and evaluating different ITT configurations and concepts using optimization and simulation approaches, or both, which are heavily dependent on data input in practical applications. Innovative technologies, alternative ITT systems, and interdisciplinary research should be conducted to solve the future challenges of ITT. An example of these innovative technologies is developing an information system that provides real-time data exchange for decision support, collaboration among stakeholders, information sharing, and improvement of the planning process. The study also suggested future strategies for a more integrated decision support system that facilitates planning, interaction, and collaboration among port stakeholders to improve ITT operations in the economic and environmental aspects.
Duinkerken et al. [
19] proposed a rule-based simulation model to evaluate three different transportation systems: multi trailer systems (MTSs), automated guided vehicles (AGVs), and automated lift vehicles (ALVs) in Rotterdam’s Maasvlakte port area. The simulation experiments provide essential insights into three different characteristics of these transportation systems, including an evaluation of the performance and nonperformance of ITT, utilization of transport vehicles with and without advanced planning, and cost analysis to support investment decisions. Tierney et al. [
3] presented an integer programming model to minimize container delivery delay by considering significant ITT aspects, including multiple vehicle types, loading/unloading times, traffic congestion, and arbitrary terminal configurations. The proposed model helps in analyzing ITT requirements for new and expanding seaports. The authors used a real example from Maasvlakte and the port of Hamburg to show the benefits of the proposed time-space mathematical model for supporting decisions not only to configure the transport vehicles but also to optimize vehicle routes and container flows in the ITT networks.