The purpose of this paper is to offer comment and reflections based upon experience gained in the development and application of two very different panel studies in the field of travel demand analysis. These experiences are now being applied in the design of a third (as yet unreported) panel...

This paper describes an ongoing project to develop a demand forecasting model for clean-fuel vehicles in California. Large-scale surveys of both households and commercial fleet operators have been carried out. These data are being used to calibrate a new micro-simulation based vehicle demand...

With modern multivariate statistical methods and activity-diary (time-use) data sets, it is possible to model household mobility decisions as being derived from decisions to participate in activities at various locations. We show how this can be accomplished by specifying activity participation...

In this paper land use densities by type of employment and infrastructure supply are used together with social and demographic characteristics to explain non-motorized travel, transit use, and solo driving in California. The land use database, the highway network database, and the travel survey...

Managers in charge of the California operations of nearly 1,200 trucking companies were asked their opinions regarding how useful various sources of traffic information are to their dispatchers and to their drivers. They were also asked to evaluate the usefulness of improved traveler information...

This paper presents an analysis of the perceptions held by for-hire and private trucking company logistics and operations managers about the impacts of congestion on their operations and the feasibility and effectiveness of actual and potential congestion mitigation policies. Responses to an...

An efficient and effective freight transport strategy can be aided by early professional contributions from key stakeholders. One broad group who have historically been given limited opportunity to influence the drafting of a freight strategy, are commercial road users and shippers who...

A dynamic (panel data) structural equations model is developed that links four dependent travel behavior variables at two points in time, one year apart. The four dependent variables are: car ownership, travel time per week by car, travel time by public transit, and travel time by nonmotorized...

Modern panel surveys frequently suffer from high and likely non-ignorable attrition, and transportation surveys suffer from poor travel time estimates. This paper examines new methods for adjusting forecasts and model estimates to account for these problems. The methods we describe are...

The purpose of this paper is to offer comment and reflections based upon experience gained in the development and application of two very different panel studies in the field of travel demand analysis. These experiences are now being applied in the design of a third (as yet unreported) panel...