Chandra Bhat

Professor

University of Texas at Austin

United States

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Chandra Bhat is a Professor at The University of Texas at Austin, USA. His research focuses on mobility behaviors, including walking patterns among older adults, telemedicine adoption, and electric vehicle usage. He has published extensively on the impact of the COVID-19 pandemic on activity time use and mode choice behavior, employing innovative statistical models to analyze these trends.

Articles (18)

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2025

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2023

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2022

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2022

Collaborators (5)

Rishabh Chauhan

Industry Assistant Professor

New York University

UNITED STATES

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Giovanni Circella

BOF Tenure-track Professor of Mobility

Ghent University

BELGIUM

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Abolfazl Mohammadian

Professor and Department Head

University of Chicago

UNITED STATES

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Deborah Salon

Associate Professor

Arizona State University

UNITED STATES

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irfan batur

Assistant Research Professor

Arizona State University

UNITED STATES

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Chandra Bhat

Research Interests

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About

Articles (18)

Hybrid Workers’ Activity Intensity: Post-Pandemic Comparison of Telework-Only and in-Person Workdays

Multivariate analysis of frequency, duration and companionship in walking behaviors among adults over 50

A model of electric vehicle adoption and motivating reasons for adoption

A flexible non-normal random coefficient multinomial probit model: Application to investigating commuter's mode choice behavior in a developing economy context

Walking patterns in older adults: Modeling the interplay of frequency, place, and purpose

Telemedicine adoption before, during, and after COVID-19: The role of socioeconomic and built environment variables

Impact of the COVID-19 Pandemic on Activity Time Use and Timing Behavior in Switzerland

Investigation of Shifts in Time Use Behavior during the COVID-19 Pandemic: A Mixed Multiple Discrete-Continuous Extreme Value Approach with Panel GPS Data

Does Ridehailing Use Affect Vehicle Ownership or Vice Versa? An Exploratory Investigation of the Relationship Using a Latent Market Segmentation Approach

On modeling future workplace location decisions: An analysis of Texas employees

Separation-based parameterization strategies for estimation of restricted covariance matrices in multivariate model systems

Evolution of Mode Use During the COVID-19 Pandemic in the United States: Implications for the Future of Transit

Investigating Residential Built Environment Effects on Rank-Based Modal Preferences and Auto-Ownership

Analysis of Changes in Time Use and Activity Participation in Response to the COVID-19 Pandemic in the United States: Implications for Well-Being

Accounting for Ride-Hailing and Connected and Autonomous Vehicle Empty Trips in a Four-Step Travel Demand Model

Understanding Interest in Personal Ownership and Use of Autonomous Vehicles for Running Errands: An Exploration Using a Joint Model Incorporating Attitudinal Constructs

A New Flexible Generalized Heterogeneous Data Model (GHDM) with an Application to Examine the Effect of High Density Neighborhood Living on Bicycling Frequency

A closed-form multiple discrete-count extreme value (MDCNTEV) model

Collaborators (5)

Rishabh Chauhan

Giovanni Circella

Abolfazl Mohammadian

Deborah Salon

irfan batur

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