Biometric sensors can track pedestrian stress in real time, but may not always match self-reports. Electrodermal activity captures quick stress spikes, while heart rate and gaze reflect longer-term stress.
Wenwen Zhang
GPS-Based Street-View Greenspace Exposure and Wearable Assessed Physical Activity in a Prospective Cohort of US Women
In our study of the Nurses’ Health Study 3, we found that momentary street-view exposure to trees and grass was linked to slightly lower physical activity, while exposure to other greenspace like flowers or fields was associated with increased activity, with variations by season, region, and neighborhood socioeconomic status.
Eye tracking measures of bicyclists’ behavior and perception: A systematic review
With improved portability and affordability, eye tracking devices have facilitated an expanding range of cycling experiments aimed at understanding cycling behavior and potential risks.
Working From Home During COVID-19: Flash in the Pan or Wave of the Future?
We examine who can work from home during the pandemic and whether this behavior will persist post-pandemic by conducting two representative online surveys in New Jersey.
The Traffic Calming Effect of Delineated Bicycle Lanes
A team of Rutgers researchers led by VTC’s Hannah Younes analyzed the effect of a bicycle lane on traffic speeds using computer vision techniques.
Transit communication via Twitter during the COVID-19 pandemic
This work examines how transit agencies used Twitter during the COVID-19 pandemic to communicate with riders and how the content and general activity influence rider interaction and Twitter handle popularity.
What do People Want to do Instead of Commuting to Work?
The researchers fielded two surveys in New Jersey during the pandemic and included questions on what respondents did with time saved from not commuting as well as which activities they wished to see continue after the pandemic subsided.
Exploring Stress Levels of E-Scooter Riders
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.
Public Views on the Reallocation of Street Space Due to COVID-19
We suggest that the current groundswell of support for street changes represents a rare opportunity to implement street design changes that support pedestrians and outdoor activities.
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
Crash Data Availability and Best Practices Across the U.S.: Lessons for New Jersey
Objective While fatal crashes are available through the Fatality Analysis Reporting System (FARS) and are readily available to the public, many states do not make their crash data easily accessible for the public and the research community. The public has an interest...
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...