The results of this pilot data collection effort provide insights on the potential use of the latest sensor technology and computer vision algorithms to understand travel behavior for new and emerging transportation modes.
Hannah Younes
Browsing for food: Will COVID-induced on-line grocery delivery persist?
We analyze factors associated with the decision to grocery shop online and whether this will persist post-COVID using data collected via a representative online panel.
Recent Publications
Understanding How Marginalized Genders Travel Using NJ TRANSIT
Through this research, NJ TRANSIT sought to understand how women and members of the lesbian, gay, bisexual, transgender, queer plus community, sometimes referred to as sexual and gender minorities (SGMs) travel on NJ TRANSIT so the agency can provide better...
Assessing Pedestrian Stress with Biometric Sensing and Survey Responses
Recent advances in biometric sensing technologies, such as eye tracking, heart rate trackers, and galvanic skin response (GSR) sensors, offer new opportunities to measure pedestrian stress level and their travel experiences in real-time. Uncertainty remains about...
GPS-Based Street-View Greenspace Exposure and Wearable Assessed Physical Activity in a Prospective Cohort of US Women
Background Increasing evidence positively links greenspace and physical activity (PA). However, most studies use measures of greenspace, such as satellite-based vegetation indices around the residence, which fail to capture ground-level views and day-to-day dynamic...
Measuring Induced Travel Elasticities associated with Local Roads from Trip Generation
Induced travel elasticities associated with new road capacity are typically estimated for roads of higher functional classifications, such as interstate freeways and principal arterials. These are estimated as “own” elasticities, that is an increase in lane kilometers...