Local area freight networks (LANs) are used to collect and distribute freight within metropolitan regions. Focusing on common carriers, this paper classifies LAN topologies, then shows how the optimal topology depends on demand characteristics. Continuous space approximations are used to analyze...

Fleet demand for alternative-fuel vehicles ('AFVs' operating on fuels such as electricity, compressed natural gas, or methanol) is investigated through an analysis of a 1994 survey of 2000 fleet sites in California. This survey gathered information on site characteristics, awareness, of mandates...

This chapter forecasts transportation energy demand, for both the U.S. anc California, for the next 20 years. Our guiding principle has been to concentrat~ our efforts on the most important segments of the market. We therefore provide detailed projections for gasoline (58 % of California...

This chapter demonstrates a new methodology for correcting panel data models for attrition bias. The method combines Rubin's Multiple Implication technique with Manski and Lerman's Weighted Exogenous Sample Maximum Likelihood Estimator (WESMLE). Simple Hausman tests for the presence of attrition...

We describe and apply choice models, including generalizations of logit called mixed logits, that do not exhibit the restrictive independence from irrelevant alternatives property and can approximate any substitution pattern. The models are estimated on data from a stated-preference survey that...

This research describes a new model of household vehicle use behavior by type of vehicle. Forecasts of future vehicle emissions, including potential gains that might be attributed to introductions of alternative-fuel (clean-fuel) vehicles, critically depend upon the ability to forecast...

Recent survey validation studies suggest that measurement error in earnings data is pervasive and violates classical measurement error assumptions, and therefore may bias estimation of cross-section and longitudinal earnings models. We model the structure of earnins measurements error using data...

The vehicle choice model developed here is one component in a mlcro-slmulatlon demand forecasting system being designed to produce annual forecasts of new and used vehicle demand by vehicle type and geographic area in Cahforma. The system will also forecast annual vehicle miles traveled for all...

The adoption of congestion pricing depends fundamentally upon drivers' willingness to pay to reduce travel time during the congested morning peak period. Using reveled preference data from congestion pricing demonstration project San Diego, we estimate that willingness to pay to reduce congested...

To better understand how road congestion adversely affects trucking operations, we surveyed approximately 1200 managers of all types of trucking companies operating in California. More than 80% of these managers consider traffic congestion on freeways and surface streets to be either a "somewhat...