130 citations · 317 across the 9 of their papers we have counts for
9 papers
Estimating Heterogeneity in Travel Mode Choice Shifts with Causal Forests
Rishabh Singh Chauhan, Mahdi Ghadimi, Lishun Liu
Objectives: While causal analysis of travel behavior is an emerging field, estimating heterogeneity in mode choice through causal modeling remains unexplored. This study demonstrat…
Causation versus Prediction: Comparing Causal Discovery and Inference with Artificial Neural Networks in Travel Mode Choice Modeling
Rishabh Singh Chauhan, Uttara Sutradhar, Anton Rozhkov +1
This study compares the performance of a causal and a predictive model in modeling travel mode choice in three neighborhoods in Chicago. A causal discovery algorithm and a causal i…
The COVID-19 Pandemic and the Future of Telecommuting in the United States
Deborah Salon, Laura Mirtich, Matthew Wigginton Bhagat-Conway +8
This study focuses on an important transport-related long-term effect of the COVID-19 pandemic in the United States: an increase in telecommuting. Analyzing a nationally representa…
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 Magassy +7
The COVID-19 pandemic is an unprecedented global crisis that has impacted virtually everyone. We conducted a nationwide online longitudinal survey in the United States to collect i…
Determining Causality in Travel Mode Choice
Rishabh Singh Chauhan, Christoffer Riis, Shishir Adhikari +4
This article presents one of the pioneering studies on causal modeling in travel mode choice decision-making using causal discovery algorithms. These models are a major advancement…
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 +11
The explosive nature of Covid-19 transmission drastically altered the rhythm of daily life by forcing billions of people to stay at their homes. A critical challenge facing transpo…
The potential stickiness of pandemic-induced behavior changes in the United States
Deborah Salon, Matthew Wigginton Conway, Denise Capasso da Silva +9
Human behavior is notoriously difficult to change, but a disruption of the magnitude of the COVID-19 pandemic has the potential to bring about long-term behavioral changes. During…
A database of travel-related behaviors and attitudes before, during, and after COVID-19 in the United States
Rishabh Singh Chauhan, Matthew Wigginton Conway, Denise Capasso da Silva +7
The COVID-19 pandemic has impacted billions of people around the world. To capture some of these impacts in the United States, we are conducting a nationwide longitudinal survey co…
Applying Deep Learning to Detect Traffic Accidents in Real Time Using Spatiotemporal Sequential Data
Amir Bahador Parsa, Rishabh Singh Chauhan, Homa Taghipour +2
Accident detection is a vital part of traffic safety. Many road users suffer from traffic accidents, as well as their consequences such as delay, congestion, air pollution, and so…