This title was first published in 2000: Describes policy innovations in transportation system management, planning and operations in the US that explicitly address interactions between transportation demands and travel behaviour in a mixed economy. The author shows how travel demand and management programmes function in the context of transportation supply and demand, investment, technology, pricing, management and marketing policies and procedures, with examples of voluntary, market-based and regulatory approaches to transportation and activity system management and institutional change. The author describes a variety of evaluation methods and models designed specifically for TDM programmes, and how these can be used to better inform decision-makers and other stockholders in the process of transportation policy formulation. TDM programmes have serious potential to increase the efficiency of a wide variety of transportation systems. Institutional obstacles are likely to prevent full implementation in the near future, but partial efforts are underway and likely to continue and succeed, under proper circumstances.

Congestion and traffic-related pollution are increasingly becoming major issues in towns and cities world-wide. This book deals with carefully selected market and non-market based measures to reduce congestion, and their implementation and effectiveness in tackling the problem. The book features a multi-authored research-based text comprising 12 individual chapters that draw upon relevant case studies. The authors were specifically chosen for their global expertise in terms of the respective Demand Management Tools. Drawing on international case studies, the book details the role played internationally by selected Transport Demand Management (TDM) measures in dealing with both congestion and traffic-related pollution in urban areas, focusing on their relative merits and in particular their effectiveness and the issues surrounding implementation.

Discrete Choice Analysis presents these results in such a way that they are fully accessible to the range of students and professionals who are involved in modelling demand and consumer behavior in general or specifically in transportation - whether from the point of view of the design of transit systems, urban and transport economics, public policy, operations research, or systems management and planning. The methods of discrete choice analysis and their applications in the modelling of transportation systems constitute a comparatively new field that has largely evolved over the past 15 years. Since its inception, however, the field has developed rapidly, and this is the first text and reference work to cover the material systematically, bringing together the scattered and often inaccessible results for graduate students and professionals. Discrete Choice Analysis presents these results in such a way that they are fully accessible to the range of students and professionals who are involved in modelling demand and consumer behavior in general or specifically in transportation - whether from the point of view of the design of transit systems, urban and transport economics, public policy, operations research, or systems management and planning. The introductory chapter presents the background of discrete choice analysis and context of transportation demand forecasting. Subsequent chapters cover, among other topics, the theories of individual choice behavior, binary and multinomial choice models, aggregate forecasting techniques, estimation methods, tests used in the process of model development, sampling theory, the nested-logit model, and systems of models. Discrete Choice Analysis is ninth in the MIT Press Series in Transportation Studies, edited by Marvin Manheim.

Sustainable Parking Management provides the latest research findings in the field, encouraging transport planners and policymakers to use parking policy as a tool for managing parking and transport systems. The book teaches up-to-date parking management techniques for selecting parking policies and understanding parking behavior when faced with policy interventions. It shows when to apply each policy, how to include user attitudes in policy definition, and how to model user behavior when refining parking policies. In addition, it stresses the need to reduce overall city driving and the need to allow users to choose the transport mode that best suits their needs. As the growth of cities and car dependency worldwide has led to parking problems resulting in increased traffic congestion, pollution, and overall urban chaos, this book creates a model to help deal with the fallout.