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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.

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Generation of Synthetic Daily Activity-Travel Patterns

TL;DR: A sequential approach to generating synthetic daily individual activity-travel patterns was developed and results indicate that the predicted pattern of activity choices conforms with observed choices by time of day.
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An analysis of weekly out-of-home discretionary activity participation and time-use behavior

TL;DR: In this paper, a panel version of the Mixed Multiple Discrete Continuous Extreme Value model (MMDCEV) was used to model the variability in discretionary activity engagement over a multi-week period along with inter-personal variability that is typically considered in activity-travel modeling.
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Modeling Interdependence in Household Residence and Workplace Choices

TL;DR: The overall aim of the work is to model the structure of the interdependency between the choices that a household makes about residence location and the workplace choices of the workers in the household in the context of an integrated activity location and travel forecasting framework.
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Joint Model of Choice of Residential Neighborhood and Bicycle Ownership: Accounting for Self-Selection and Unobserved Heterogeneity

TL;DR: In this paper, a joint model of residential neighborhood type choice and bicycle ownership is presented to isolate the true causal effects of neighborhood attributes on household bicycle ownership from a spurious association because of residential self-selection effects.
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Integrated Model of Residential Location, Work Location, Vehicle Ownership, and Commute Tour Characteristics:

TL;DR: An econometric model system that simultaneously considers six dimensions of activity-travel choices in a unifying framework and results for a joint model system estimated on a data set extracted from the 2009 National Household Travel Survey are presented.