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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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Are Multiple-Choice Questions Suitable for a Final Examination in a STEM Course?

TL;DR: Autar Kaw as discussed by the authors was named the 2012 U.S. Professor of the Year (Doctoral Institutions) by the Carnegie Foundation for the Advancement of Teaching and the Council for Advancement and Support of Education.
DissertationDOI

Exploring Patterns of Heterogeneity in Activity-Travel Behaviors of Older People

TL;DR: In this article, a detailed analysis and comparison of older population subgroups using data derived from the 2017 National Household Travel Survey (NHTS) of the United States is presented, including a review of earlier studies on the activity-travel patterns of the older segment of our population, and a detailed descriptive statistical analysis on technology and time use patterns with a view to identify how these behaviors evolve as people age.
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The COVID-19 pandemic and the future of telecommuting in the United States

TL;DR: For example, this article found that 40% to 50% of workers telecommute at least a few times per month post-pandemic, up from 24% pre-coVID, and 90% of those who first telecommuted during the pandemic plan to continue the practice regularly.
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On modeling future workplace location decisions: An analysis of Texas employees

TL;DR: Workplace location preferences of workers in an unpredictable and evolving future by investigating how workers would prefer to allocate their monthly working days among the three WPL alternatives of working from home, from the work office, and from a variable third WPL as discussed by the authors .
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A multiple discrete continuous extreme value choice (MDCEV) model with a linear utility profile for the outside good recognizing positive consumption constraints

TL;DR: In this article , the authors proposed a new model structure for multiple discrete-continuous choice that obviates the need to have budget information, labeled as the Lγ -profile MDCEV model, which breaks the strong linkage between the discrete and continuous choice dimensions of decision-making.