Ram M. Pendyala

TL;DR: In this article, a multiple discrete continuous nested extreme value (MDCNEV) model is proposed to analyze household expenditures for transportation-related items in relation to a host of other consumption categories.

TL;DR: In this article, the authors describe a large scale spatio-temporal simulator of activities and travel for Southern California, which includes population synthesis that recreates the entire resident population in this Mega region, provides locations for residences, workplaces, and schools for each person, estimates car ownership and type, and provides other key personal and household characteristics.

TL;DR: In this paper, the authors present evidence on how much US adults expect their own postpandemic choices to differ from their prepandemic lifestyles in the areas of telecommuting, restaurant patronage, air travel, online shopping, transit use, car commuting, uptake of walking and biking, and home location.

TL;DR: In this article, the authors present a toolkit to provide transportation planners with the information they need to prepare forecasts of freight transportation by highlighting techniques successfully developed by state agencies across the country.

TL;DR: The principal findings were that the representation of awareness of transit services is significantly different than the underlying assumption of mode choice and forecasting models that there is perfect awareness and consideration of all modes.