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Throughout the world, traffic levels are increasing and, in urban areas, these increasing levels have led to pressures on the road networks which are causing serious economic, environmental and social problems. This book examines the full range of 'push and pull' Travel Demand Management measures. This covers areas of regulatory, pricing, planning and persuasive policies to encourage individuals to make their trips in off-peak periods, by a different mode or to find another way of carrying out the trip purpose. Applying such measures can result in a more efficient transport system, improved environmental conditions and improvements in safety as well as revenue generation for use on alternative transport systems. The editors conclude with a summary of findings within the book and suggestions for best future practice.
This report provides case studies and examples that demonstrate successful approaches to grappling with gridlock around the globe.
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.
Throughout the world, traffic levels are increasing and, in urban areas, these increasing levels have led to pressures on the road networks which are causing serious economic, environmental and social problems. This book examines the full range of 'push and pull' Travel Demand Management measures. This covers areas of regulatory, pricing, planning and persuasive policies to encourage individuals to make their trips in off-peak periods, by a different mode or to find another way of carrying out the trip purpose. Applying such measures can result in a more efficient transport system, improved environmental conditions and improvements in safety as well as revenue generation for use on alternative transport systems. The editors conclude with a summary of findings within the book and suggestions for best future practice.
The seven papers examine various aspects of travel demand, modal choice and system analysis. The first examines the effects of a fare reduction in Atlanta. The second paper investigates the potential for gradually restructuring urban areas to reduce the built-in requirements for transportation. The third studies the socioeconomic characteristics of commuters and the transport service characteristics they value in their choice of mode for work trips. Two papers consider the problems of airport access. A methodology called Special Area Analysis is described in the sixth paper. The final paper describes the problem of integrating system and project planning to include all community and environmental concerns.
TRB's second Strategic Highway Research Program (SHRP 2) Report S2-C46-RR-1: Activity-Based Travel Demand Models: A Primer explores ways to inform policymakers' decisions about developing and using activity-based travel demand models to better understand how people plan and schedule their daily travel. The document is composed of two parts. The first part provides an overview of activity-based model development and application. The second part discusses issues in linking activity-based models to dynamic network assignment models.
This report provides case studies and examples that demonstrate successful approaches to grappling with gridlock around the globe.