Search

Inland waterway transportation plays a crucial role in Europe's transportation network and economy. It is an efficient and sustainable mode of transportation, with lower emissions and energy consumption than other modes of transportation, such as road and air. However, the services provided by inland waterway transport can be significantly impacted by adverse weather conditions such as heavy rain, strong winds, and flooding. These disruptions can cause delays, cancellations, or even damage to vessels or infrastructure. To improve the system reliability, we propose a set of revenue management based (demand itinerary) rerouting mechanisms for intermodal barge transportation optimisation. Revenue Management policies including several customer categories and fare differentiation are applied. Sequential accept/reject decisions are made based on a probabilistic mixed integer programming model maximising the expected revenue of a carrier. A booking framework is defined over a rolling horizon and capacity allocation/reallocation decisions are made for a set of demands including the current and relevant past and potential future transportation requests. Several (demand) rerouting mechanisms are defined and implemented on different service network configurations. The service network status is regularly updated, in particular with respect to barge capacity variations due to changing water levels. An extensive set of experiments is performed and numerical results are analysed. The study results emphasise the added value but also the need for data availability and information sharing between the different stakeholders of Inland Waterway Transportation systems. [ABSTRACT FROM AUTHOR]

This study introduces a holistic framework for optimising road-rail intermodal hub locations based on real regional freight data and railway station information. The primary objective is to enhance railway transportation capacity, thereby facilitating the development of a low-carbon transport system. Research begins by scrutinising the freight landscape in the region, focusing on transport volume, freight intensity, goods types and average delivery distances. Subsequently, data mining techniques, including DBSCAN clustering and frequent itemset mining, are employed to uncover freight demand hotspots across both spatial and temporal dimensions. Based on these findings, a mathematical model for hub location selection is constructed, along with criteria for goods categories suitable for rail transportation. Ultimately, using the Beijing-Tianjin-Hebei region as a case study, 12 road-rail intermodal hubs are identified, along with the main cargo types best suited for rail transport within their respective service areas. This transition is expected to result in an annual reduction of 470,000 tons of regional carbon emissions. The proposed method framework provides valuable guidance and practical insights for the optimisation of freight structures in various regions. Furthermore, it aligns with contemporary environmental and sustainability objectives, contributing to the broader goal of establishing low-carbon transport systems.

The Port of Los Angeles and Port of Long Beach, together referred to as the San Pedro Bay Port Complex, are an important source of regional economic activity in southern California. However, the port complex is also the single largest fixed source of air pollution in the region. In response to pressure from regulatory agencies and local communities, the two ports developed a Clean Air Action Plan in 2006.The research team assembled three case studies of programs implemented under the Clean Air Action Plan: the Technology Advancement Program, voluntary Vessel Speed Reduction programs, and the Clean Trucks Program. An additional case study featured a proposed private-sector infrastructure project: the Southern California International Gateway project. Each case study describes the program, stakeholders involved, barriers to implementation, and outcomes. These cases highlight the institutional challenges the ports face while working with a multitude of stakeholders and regulatory bodies to address both environmental sustainability and economic competitiveness. View the NCST Project Webpage

This paper presents the comprehensive state-of-the-art on the challenges that short sea shipping currently faces across the world. The concept and its relationship with coastal shipping are introduced, followed by a review of the EU policies for short sea shipping and its practical impacts in modal split. A survey of the literature on the strong and weak points of this form of transportation is carried out, aimed at explaining the difficulties in achieving relevant modal shifts from road to sea. The experience with short sea shipping across the world is described and discussed, providing a global perspective. The paper then discusses the main challenges and opportunities in this field, namely decarbonisation, autonomous navigation, and digitalization. Conclusions are drawn on the possible impact of these game changing developments in this segment of the shipping industry. [ABSTRACT FROM AUTHOR]

Critical to freight movement in Southern California are environmental plans at the Port of Los Angeles (POLA) and Port of Long Beach (POLB). The combined port complex is the single largest fixed source of air pollution in the South Coast Air Basin. This white paper presents three case studies from the San Pedro Bay Ports Clean Air Action Plan (CAAP), including brief analyses of their effects on freight movement in the region. This research also includes a case study of a private-sector, yet-to-be-built infrastructure project designed to support the faster movement of freight out of the San Pedro Bay Ports called the Southern California International Gateway (SCIG). The case studies are provided to elucidate how self-regulating agreements and operator-led programs contribute to regional environmental goals for freight operations. The findings indicate in part that stakeholder power relationships influence the ability to both develop environmental strategies and determine their outcomes. They also indicate that port-focused plans are more effective when their impact on the entire supply chain is considered. The research also helps to illustrate examples of unintended consequences of freight-related environmental measures which will prove useful to policymakers and operators alike.View the NCST Project Webpage

There is a need for the dairy supply chain to improve its environmental performance. Intermodal rail-road transportation can be a way to reduce CO2 emissions. However, despite technological innovations in the realm of cooling technology, which could enable a shift to intermodal transportation, the use of intermodal rail-road in the dairy supply chain is still low. A blueprint is needed to foster the application of intermodal transportation in the sector. Literature provides little guidance in this sense. Therefore, this paper investigates how to ease the shift to intermodal rail-road transportation in the dairy supply chain through multiple case studies, performed at different stages of the supply chain. A set of enablers of the shift is discussed, along with a blueprint for innovative technology, and logistics and business models. The plan takes into account all the actors of the dairy industry, as well as other players, i.e. technology providers, academia and institutions. This paper enriches literature, thanks to its multi-stage research, providing managers with a practical tool to support the shift to intermodal transportation in the dairy industry. The main limitations lay in the choice of the sample, i.e. only Italian companies and no small retailers and farmers have been involved. [ABSTRACT FROM AUTHOR]

Intermodal terminals (IMTs) have significant importance in logistics networks whose development enables the implementation of intermodal transportation technologies and participation in international goods flows. Developing IMT contributes to the greater use of intermodal transportation thus contributing to sustainability. To stimulate stakeholders to participate in such projects, they need to be proven economically sustainable as well. This article analyzes the financial risks of investing into an IMT in Belgrade (Republic of Serbia). The scientific contribution of the article is in being the first to use a stochastic financial evaluation model for assessing the development of an IMT. The article analyzes the financial risk probability over real-world data, considering the stochastic nature of container flow volumes and the prices of logistics services. The risk probability, as an output result of the used simulation model, is derived from the probability distribution of three distinct financial parameters – net present value (NPV), internal rate of return (IRR), and the benefit-cost ratio (B/C). The results of the analysis indicate that the development of the IMT is financially justified, with relatively low investment risk.