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This very interesting book with peer-reviewed chapters written by leading researchers in the field discusses recent research in the areas of market structure, sustainability and decision-making. It includes several contemporary topics, such as changes in port competition, adaptation of transport to climate change, changing market structures, the importance of changing consumers preferences, errors in forecasting, and trends in international goods transport. Bert van Wee, Delft University of Technology, The Netherlands Transport is debated by many, and liberalization processes, transport policy, transport and climate change and increased competition between transport modes are the subject of heated discussion. Smart Transport Networks illustrates that whether concerning road, water, rail or air, knowledge on the structure of transport markets is crucial in order to tackle transport issues. The book therefore explores key factors concerning the structure of transport markets, their environmental impact, and questions why decision makers often fail to tackle transport-related problems. Three of the key factors that underpin the relationship between transport and society are analysed in detail from a variety of perspectives, each with an empirical focus: market structure and the allocation mechanisms at work; sustainability, encompassing the characteristics of the physical environment, the availability of natural resources and the effects of transport activities; and decision making, detailing transport policy and attempts to change transport systems. Practical guidelines on how to effectively deal with complex transport issues are also presented. This book will prove an important resource read for academics, researchers, and students with an interest in economics particularly transport and public sector economics, geography and regional and urban studies. Policy makers and planners in the fields of transport, environment and regional planning will also find this book to be an invaluable reference tool.
Over the last two centuries, the development of modern transportation has significantly transformed human life. The main theme of this book is to understand the complexity of transportation development and model the process of network growth including its determining factors, which may be topological, morphological, temporal, technological, economic, managerial, social or political. Using multidimensional concepts and methods, the authors develop a holistic framework to represent network growth as an open and complex process with models that demonstrate in a scientific way how numerous independent decisions made by entities such as travelers, property owners, developers, and public jurisdictions could result in a coherent network of facilities on the ground. Models are proposed from innovative perspectives including self-organization, degeneration, and sequential connection to interpret the evolutionary growth of transportation networks in explicit consideration of independent economic and regulatory initiatives. Employing these models, the authors survey a series of topics ranging from network hierarchy and topology to first mover advantage. The authors demonstrate, with a wide spectrum of empirical and theoretical evidence, that network growth follows a path that is not only logical in retrospect, but also predictable and manageable from a planning perspective. In the larger scheme of innovative transportation planning, this book provides a re-consideration of conventional planning practice and sets the stage for further development on the theory and practice of the next-generation, evolutionary planning approach in transportation, making it of interest to scholars and practitioners alike in the field of transportation .
Covering past, present and future transport networks using three layered planes written by experts in the field. Targeted at both practitioners and academics as a single source to get an understanding of how transport networks are built and operated Explains technologies enabling the next generation transport networks