Introduction: Cross Atlantic Perspectives in Methods and Models Analysing Transport and Telecommunications -- Traffic Forecasting and Transport Network Analysis -- Urban Travel Forecasting in the USA and UK -- Towards Developing a Travel Time Forecasting Model for Location-Based Services: A Review -- Transportation Networks, Case-Based Reasoning and Traffic Collision Analysis: A Methodology for the 21st Century -- A Sketch and Simulation of an Integrated Modelling Framework for the Study of Interdependent Infrastructure-Based Networked Systems -- Transportation, Communication and Sustainability: In Search of a Pathway to Comparative Research -- Freight Transport -- Can Freight Transport Models Be Transferred Across the Atlantic? -- Dynamic Game-Theoretic Models of Urban Freight: Formulation and Solution Approach -- A Multi-Criteria Methodology for Stated Preferences Among Freight Transport Alternatives -- An Adaptive Conjoint Analysis of Freight Service Alternatives: Evaluating the Maritime Option -- Telecommunications and Air Transport -- Small-World Phenomena in Communications Networks: A Cross-Atlantic Comparison -- The Diffusion of Cellular Phones: A Model for Italy and a Comparison with the United States -- Congestion Charging at Airports: Dealing with an Inherent Complexity -- Short- and Long-Term Reaction of European Airlines to Exogenous Demand Shifts -- Sustainable Transport and Policy Perspectives -- Taxes and the Environmental Impact of Private Car Use: Evidence from 68 Cities -- European Perspectives on a New Fiscal Framework for Transport -- Time and Travel.One aspect of the new economy is a transition to a networked society, and the emergence of a highly interconnected, interdependent and complex system of networks to move people, goods and information. An example of this is the in creasing reliance of networked systems (e. g. , air transportation networks, electric power grid, maritime transport, etc. ) on telecommunications and information in frastructure. Many of the networks that evolved today have an added complexity in that they have both a spatial structure – i. e. , they are located in physical space but also an a spatial dimension brought on largely by their dependence on infor mation technology. They are also often just one component of a larger system of geographically integrated and overlapping networks operating at different spatial levels. An understanding of these complexities is imperative for the design of plans and policies that can be used to optimize the efficiency, performance and safety of transportation, telecommunications and other networked systems. In one sense, technological advances along with economic forces that encourage the clustering of activities in space to reduce transaction costs have led to more efficient network structures. At the same time the very properties that make these networks more ef ficient have also put them at a greater risk for becoming disconnected or signifi cantly disruptedwh en super connected nodes are removed either intentionally or through a targeted attack.