Sponsor: Pennsylvania State University Exploration and Analysis Grants for Expanded Research (EAGER); Year: 2023-2024

Role: PI; Amount: $19,476

This project investigates travel decisions undertaken by commuters across the Commonwealth of Pennsylvania by scanning through Penn State's commuting population across all the campuses. In addition to understanding their travel mode choice and descriptive commuting characteristics, this study will investigate travel mode dissonance among Penn State commuters and its contributing factors. The study will also explore commuting satisfaction and the impact of this trip on subjective well-being.

Sponsor: Pennsylvania State University Graduate Research Experience and Training (GREAT); Year: 2023-2024

Role: PI; Amount: $43,915

This project investigates the changes in travel behavior, trip making, and activity participation levels of the transportation disadvantaged community members as they navigate the realities and after-effects of the COVID-19 pandemic.  

Sponsor: American Association of State Highway and Transportation Officials (AASHTO); Year: 2021-2022

Role: PI; Amount: $20,000

This project investigated the change in commuting trends (specifically on commute mode choice) across the United States of America through the lens of various geographic and demographic spheres. Results show that commute mode choice trends vastly vary across the country, and accurate determination of triggers/factors influencing commute mode choice is necessary for serving as inputs into planning and policymaking. 

Sponsor: National Center for Transit Research (NCTR); Year: 2020

Role: PI; Amount: $26,888; Report

This project investigated the impact of COVID-19 on activity participation, trip making, and travel behavior using a nationwide stated preference survey that was disseminated by the PI. Analysis of the survey revealed the multitude of ways in which COVID-19 had impacted travel behavior, including residential location, vehicle purchase, telecommuting, trip making, and activity participation. Results also revealed how consumer preferences would alter regarding the use of shared mobility systems, considering the threat posed by the global health pandemic.

Sponsor: Florida Department of Transportation (FDOT); Year: 2019-2021

Role: Co-PI; Amount: $200,000; Report

This project created a roadmap for incorporating ACES technologies into Florida DOT’s planning and policymaking efforts in the area of transformational technologies. Central to this project was creating a GIS-based database and activity viewer to serve as the storehouse of all ACES-related projects and efforts across the state. The activity viewer could serve as the foundation for knowledge and technology transfer, and the data, when made available, could be used by all stakeholders, including the public, to understand the state’s efforts in incorporating ACES technologies into our transportation system.

Sponsor: Florida Department of Transportation (FDOT); Year: 2020-2021

Conducted scenario analysis for converting an existing freeway into a boulevard including traffic impact, GIS-based crash, and air quality/equity analysis.

Sponsor: Teaching Old Models New Tricks (TOMNET, USDOT); Year: 2019-2020; Report

Design and development of stated preference survey and data analysis support on a nationwide effort to understand attitudes and preferences towards emerging mobility options and technologies. 

Sponsor: National Center for Transit Research (NCTR, USDOT); Year: 2017-2019; Report

Developing working relationships with autonomous shuttle operators to conduct a week-long demonstration on the university campus. Design and development of a stated preference instrument on public perceptions and attitudes towards automated shuttles based on a week-wide campus deployment.

Sponsor: University of South Florida (USF); Year: 2013-2017; Report

Design and development of multiple stated-preference surveys on understanding consumers’ perceptions, attitudes, preferences, and intentions to adopt autonomous vehicles; Also, investigations into the impact of autonomous vehicles on travel behavior and trip making. Led data analysis and econometric modeling efforts.  

Sponsor: Florida Department of Transportation (FDOT); Year: 2017; Report

Assisted FDOT in the development of newer, more accurate forecasting tools and methodologies for estimation aviation activity (passenger enplanement as well as fleet estimations) on commercial as well as general aviation airports.