Researchers Wei San Loh and Robert Noland used data collected online to understand the used electric vehicle (EV) market.
Robert B. Noland
Working from Home and Walking during and after COVID
The researchers investigated the relationship between people who worked from home during the pandemic and how often they walked before, during, and after COVID.
Gender split and safety behavior of cyclists and e-scooter users in Asbury Park, NJ
In this study, researchers Hannah Younes, Robert B. Noland, and Clinton J. Andrews used traffic camera footage to observe the behavior of over 700 shared e-scooters and privately owned bicycles in Asbury Park, New Jersey. The authors discuss policy implications with regard to safety and gender differences between the two modes of transit.
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.
Understanding preferences for bicycling and bicycle infrastructure
Using survey data collected in New Jersey, we analyze the frequency of bicycling and respondent perceptions of the safety of various bicycling facilities.
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.
Identifying Current and Future Training Needs of the Public Transportation Industry
This report identifies the training needs of the public transportation industry.
Understanding How Changes in Mobility Affect the Spread of Coronavirus
In an effort to understand how changes in mobility are associated with the spread of the coronavirus, mobility data from Google correlated with estimates of the effective reproduction rate, a measure of viral infectiousness.
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...