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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Computational Graph-Based Mathematical Programming Reformulation for Integrated Transport Demand and Supply Models
Modeling Behavioral Response to Real Time Traveler Information: An Application of a Continuous Time Integrated Transport Modeling Framework
TL;DR: The research proposed in this effort is aimed at exploring travel survey data to characterize dimensions of rescheduling behavior and identify schedule adjustment heuristics and will add to the literature on travel behavior by attempting to understand activity-travel rescheduled behavior in response to prevailing network conditions.
Posted Content
The Enduring Effects of COVID-19 on Travel Behavior in the United States: A Panel Study on Observed and Expected Changes in Telecommuting, Mode Choice, Online Shopping and Air Travel
Mohammadjavad Javadinasr,Tassio B. Magassy,Ehsan Rahimi,Motahare,Mohammadi,Amir Davatgari,Abolfazl,Mohammadian,Deborah Salon,Matthew Wigginton Bhagat-Conway,Rishabh Singh Chauhan,Ram M. Pendyala,Sybil Derrible,Sara Khoeini +13 more
TL;DR: In this paper, the authors investigated the travel behavior evolution by analyzing a longitudinal two-wave panel survey data conducted in the United States from April 2020 to October 2020 (wave 1) and from November 2020 to May 2021 (wave 2).
Representing Heterogeneity in Structural Relationships Among Multiple Choice Variables Using a Latent Segmentation Approach
Sebastian Astroza,Sebastian Astroza,Venu M Garikapati,Ram M. Pendyala,Chandra R. Bhat,Chandra R. Bhat,Patricia L. Mokhtarian +6 more
TL;DR: In this paper, a joint modeling framework was proposed to identify population segments that follow different causal structures relating residential location choice, vehicle ownership, and car-share and mobility service usage, revealing three distinct latent segments best describing the data, confirming the existence of structural heterogeneity in decision-making in the population.
Journal ArticleDOI
COVID Future Panel Survey: A Unique Public Dataset Documenting How U.S. Residents' Travel Related Choices Changed During the COVID-19 Pandemic
Rishabh Singh Chauhan,Matthew Wigginton Bhagat-Conway,Tassio B. Magassy,Nicole M. Corcoran,Ehsan Rahimi,A. Ya. Dirks,Ram M. Pendyala,Abolfazl Mohammadian,Sybil Derrible,Deborah Salon +9 more
TL;DR: This paper conducted a nationwide online longitudinal survey in the United States to collect information about the shifts in travel-related behavior and attitudes before, during, and after the COVID-19 pandemic.