activity
20192023
most citedThe 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

130 citations · 351 across the 11 of their papers we have counts for

collaborators

11 papers

econ.GN2023★ 5 cited

Exploring the Role of Perceived Range Anxiety in Adoption Behavior of Plug-in Electric Vehicles

Fatemeh Nazari, Abolfazl Mohammadian

A sustainable solution to negative externalities imposed by road transportation is replacing internal combustion vehicles with electric vehicles (EVs), especially plug-in EV (PEV)…

math.OC2023★ 13 cited

Electric Vehicle Supply Equipment Location and Capacity Allocation for Fixed-Route Networks

Amir Davatgari, Taner Cokyasar, Anirudh Subramanyam +2

Electric vehicle (EV) supply equipment location and allocation (EVSELCA) problems for freight vehicles are becoming more important because of the trending electrification shift. So…

econ.GN2023★ 9 cited

Behavioral acceptance of automated vehicles: The roles of perceived safety concern and current travel behavior

Fatemeh Nazari, Mohamadhossein Noruzoliaee, Abolfazl Mohammadian

With the prospect of next-generation automated mobility ecosystem, the realization of the contended traffic efficiency and safety benefits are contingent upon the demand landscape…

physics.soc-ph2022★ 1 cited

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…

cs.CY2022★ 4 cited

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…

stat.AP2021

Crash Severity Pattern of Motorcycle Crashes in Developing Country Context

Sina Asgharpour, Mohammadjavad Javadinasr, Zeinab Bayati +2

Despite paying special attention to the motorcycle-involved crashes in the safety research, little is known about their pattern and impacts in developing countries. The widespread…

cs.LG2021★ 9 cited

A Deep-Learning Based Optimization Approach to Address Stop-Skipping Strategy in Urban Rail Transit Lines

Mohammadjavad Javadinasr, Amir Bahador Parsa, Abolfazl +1

Different passenger demand rates in transit stations underscore the importance of adopting operational strategies to provide a demand-responsive service. Aiming at improving passen…

econ.GN2021★ 130 cited

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…

stat.OT2021★ 125 cited

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…

stat.AP2021★ 35 cited

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…

stat.ML2019★ 20 cited

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…