Global Trade Impacts: Addressing the Health, Social and Environmental Consequences of Moving International Freight Through Our Communities

Examines freight transportation industry trends; the impact of global trade on workers, the environment, and health in both exporting and importing countries; and organizing strategies and policy innovations for minimizing the damage and ensuring health

Inland Waterway Networks in Europe: The Neglected Potential, Bottlenecks and Polley Initiatives

Series: Discussion Papers of the Institute for Economic Geography and GIScienc

Safety in the Supply Chain in Relation to Packing of Containers

This document is part of a digital collection provided by the Martin P. Catherwood Library, ILR School, Cornell University, pertaining to the effects of globalization on the workplace worldwide. Special emphasis is placed on labor rights, working conditions, labor market changes, and union organizing.ILO_SafetyinSupplyChaininRelationtoPackingContainers.pdf: 856 downloads, before Oct. 1, 2020

Transportation problems applications

Tese de Mestrado Integrado. Engenharia Civil. Área de Especialização de Vias de Comunicação. Faculdade de Engenharia. Universidade do Porto. 201

Automatic information exchange between interoperable information systems: Potential improvement of access management in a seaport terminal

The purpose of this paper is to explore how and when the most beneficial and cost effective information attributes can be automatically exchanged between interoperable information systems of a seaport terminal operator, a road haulier, and a rail operator to potentially improve their access management. The automatically exchange of the attributes is dependent on interoperability between information systems of the involved actors. The interoperability is achieved through a developed application programming interface in this study. This case study adds to prior research by developing a cost-benefits analysis that categorises the attributes (from low cost / low benefit to high cost / high benefit) involving four strategies: data farming, dedicated information exchange, opportunistic information exchange, and avoiding information exchange. These four strategies are important in identifying when to collect the information attributes automatically to facilitate real-time decision-making and in turn potentially improve the access management for the involved actors. is developed in this case study to enable interoperability between the information systems of involved actors. As a change management tool, the cost-benefit analysis can also be used to identify and support transformation of attributes from one category to another. The empirical study included nine workshops resulting in the identification of the most beneficial and cost effective information attributes: deviation information, direction, driver ID, estimated time of arrival, goods priority information, intermodal transport unit (ITU) ID, ITU status, opening hours, shipment ID, and vehicle ID. The attributes must be automatically exchanged according to three identified time phases: one week before, one day before, and two hours before the ITUs are to be picked up at the terminal. By exchanging these attributes between the interoperable actors\ub4 information systems, there is potential for reducing the actors\ub4 turnaround times, increasing their access reliability, access precision, and access flexibility. Finally, two propositions are formulated from the empirical findings and in relation to prior research results

Integration of inland waterway transport in the intermodal supply chain: a taxonomy of research challenges

This paper identifies research opportunities which will enable the further integration of inland waterway transport in the intermodal supply chain. Intermodal transport may be interpreted as a chain of actors who supply a transport service. Inland navigation can play a crucial role in increasing supply chain service performance. A first group of research challenges lies in the evolving relationship between transport geography and logistics activities. The next set of research challenges has the objective to encourage efficient operations in IWT: development of a system wide model for IWT, integration of operational planning systems and analysis of bundling networks. A third group of research efforts is directed towards shippers and consignees who use the intermodal transport chain to send or receive their goods: further development of models that integrate intermodal transport decisions with supply chain decisions and creation of green supply chains. A fourth cluster of research challenges concerns the problem domain of external cost calculations. Finally detailed time series data on freight transport should be collected to support these future research tracks

An ETA Prediction Model for Intermodal Transport Networks Based on Machine Learning

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

Sustainable Freight Transport

This Special Issue of Sustainability reports on recent research aiming to make the freight transport sector more sustainable. The sector faces significant challenges in different domains of sustainability, including the reduction of greenhouse gas emissions and the management of health and safety impacts. In particular, the intention to decarbonise the sector’s activities has led to a strong increase in research efforts—this is also the main focus of the Special Issue. Sustainable freight transport operations represent a significant challenge with multiple technical, operational, and political aspects. The design, testing, and implementation of interventions require multi-disciplinary, multi-country research. Promising interventions are not limited to introducing new transport technologies, but also include changes in framework conditions for transport, in terms of production and logistics processes. Due to the uncertainty of impacts, the number of stakeholders, and the difficulty of optimizing across actors, understanding the impacts of these measures is not a trivial problem. Therefore, research is not only needed on the design and evaluation of individual interventions, but also on the approach of their joint deployment through a concerted public/private programme. This Special Issue addresses both dimensions, in two distinct groups of papers—the programming of interventions and the individual sustainability measures themselves

Global Trade Impacts: Addressing the Health, Social and Environmental Consequences of Moving International Freight through Our Communities

As ports and goods movement activity expands throughout the United States, a major challenge is how to make the adverse impacts of freight transportation a more central part of economic development, policy and planning discussions and transportation decision making. In 2009, faculty and staff from the Urban & Environmental Policy Institute of Occidental College and from the environmental health sciences and regional equity programs of the University of Southern California (USC) began a study of this evolving global trade and freight transportation system, focusing on areas in the United States where the system is expanding and where community, labor and social justice groups have begun to challenge the system. Funded by The Kresge Foundation, the purpose of the study – which resulted in this report – was to provide an overview of the growth and scale of the goods movement industries and the shift from a production to a distribution economy. At the same time, the study documents examples of organizing and policy approaches that have injected important considerations of health, labor, and community impacts into decisionmaking and identified new directions so that local and regional communities can better address what is happening in their backyards due to these shifts