Travel demand models focus on explaining how much individuals actually travel but offer no insight into how much individuals think they travel. The authors propose that the latter is an important determinant of traveler behavior, and that actual mobility is refracted through a variety of filters...

This report attempts to derive a more accurate economic model to describe the supply and cost mechanisms that influence the market for traffic information. It first gives a history of the traffic information market, its economies-of-scale, and its potential for future development.e history of...

This study presents an initial step toward an understanding of consumer responses to advanced traveler information systems. Specifically, it is aimed at understanding the role that cellular telephones can play in the management of urban traffic systems. To assess the interrelationships between...

This report examines the behavioral reactions to the impact of changes in the probability of a non-recurrent incident and how this affects the expected costs of a commute trip. The basic approach combines the estimation of a travel demand model with a supply side model of a congested highway....

This report presents a study in which Advanced Traveler Information Systems (ATIS) user benefits are estimated from a survey of commuting behavior undertaken in the San Francisco Bay Area in 1993. Both reported and stated response to unexpected congestion are used to determine the commuters who...

Driven by problems of traffic congestion, U.S. policy toward urban highways has lurched over several decades from highway building to high-occupancy-vehicle lanes to travel demand management. Yet congestion has worsened, and there is scant evidence that these policies have had any appreciable...

This paper provides an overview of the status of telecommuting in the United States, especially as it relates to changes in travel behavior. Regarding the state of the practice, the paper discusses some refinements to the definition of telecommuting that have developed through increased...

Experiments using smartphones to influence behavior have been growing rapidly in many fields, especially in health and fitness research, and studies on eco-feedback technologies. In these studies, users are first tracked to understand their baseline behaviors, then measured continuously while...

Two measures of commute time preferences – Ideal Commute Time and Relative Desired Commute amount (a variable indicating the desire to commute “much less†to “much more†than currently) – are modeled, using tobit and ordered probit, respectively. Ideal Commute...

This project conceptually and empirically explores the complex relationship between congestion and accessibility. While congestion alters individual access to opportunities, its effects vary significantly across people, places, and time - variations that remain relatively understudied. This...