With improved portability and affordability, eye tracking devices have facilitated an expanding range of cycling experiments aimed at understanding cycling behavior and potential risks.
Wenwen Zhang
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
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...
Comparing injuries from e-scooters, e-bikes, and bicycles in the United States
There is a growing perception that e-scooters are more dangerous than bicycles and e-bikes, with towns implementing measures to ban their usage. Yet, there is not much evidence from large scale surveys to substantiate this claim. Nearly 14,000 micromobility injuries...
Equal charging for all: Are there income-based disparities in public charging stations?
We compare charging station accessibility for different income groups in the San Francisco Bay Area. Using a microsimulation model, we estimate charging station accessibility under varying battery range scenarios, assuming different income groups have vehicles with...
New Jersey Micromobility Guide (2025)
The New Jersey Micromobility Guide serves as a resource for micromobility users across the state, collecting and summarizing the laws and safety best practices that can make riders safer. Micromobility, which includes e-bikes, e-scooters, and other low-speed devices,...