Ram M. Pendyala

TL;DR: The demand for travel is growing very rapidly in developing nations around the world as discussed by the authors, and there is an increasing population, standards of living, vehicle ownership, massive infrastructure investments, and economic growth.

TL;DR: In this paper , a generalized heterogeneous data model (GHDM) is used to disentangle the effect of unfamiliarity from informed perceptions of service quality in Likert scale responses.

TL;DR: In this paper, the authors present a methodology for the calculation of the consumption of household travel energy at the level of the traffic analysis zone (TAZ) in conjunction with information that is readily available from a standard four-step travel demand model system.

TL;DR: In this article, the authors extended the multiple-discrete continuous extreme value (MDCEV) model to accommodate multiple constraints, where individuals are assumed to maximize their utility from time-use in one or more activities subject to monetary and time availability constraints.

TL;DR: TransIMS as mentioned in this paper was used to simulate the movements of individual travelers and vehicles in a light rail corridor in the Greater Phoenix metropolitan area, and the results of the simulation exercise are intuitive and provide insights on how microsimulation model systems can prove to be effective tools in analyzing alternative multimodal transport network strategies.