R
Ram M. Pendyala
Researcher at Arizona State University
Publications - 269
Citations - 9647
Ram M. Pendyala is an academic researcher from Arizona State University. The author has contributed to research in topics: Travel behavior & Mode choice. The author has an hindex of 53, co-authored 251 publications receiving 8344 citations. Previous affiliations of Ram M. Pendyala include Sewanee: The University of the South & Georgia Institute of Technology.
Papers
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Modeling Residential Sorting Effects to Understand the Impact of the Built Environment on Commute Mode Choice
TL;DR: A simultaneous model of residential location choice and commute mode choice that accounts for both observed and unobserved taste variations that may contribute to residential self selection is estimated on a survey sample extracted from the 2000 San Francisco Bay Area household travel survey.
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Florida activity mobility simulator - Overview and preliminary validation results
TL;DR: Results of the model development effort are promising and demonstrate the applicability of activity-based model systems in travel demand forecasting.
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An activity-based microsimulation analysis of transportation control measures
TL;DR: A unique activity-based time use survey was conducted to obtain information on people's activity and travel patterns and their likely behavioral adjustment in response to various transportation control measures, and the use of the ensuing data set in estimating various components of the simulator, called AMOS.
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Modeling intra-household interactions and group decision-making
Chandra R. Bhat,Ram M. Pendyala +1 more
TL;DR: The inaugural edition of the annual Special Issue of "Transportation" comprising selected papers presented at the Annual Meeting of the Transportation Research Board (TRB) in January 2005 is presented in this article.
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A copula-based joint multinomial discrete–continuous model of vehicle type choice and miles of travel
TL;DR: The model system, when applied to simulate the impacts of a doubling in fuel price, shows that individuals are more likely to shift vehicle type choices than vehicle usage patterns.