NJTIP @ Rutgers provides travel training for people with disabilities and older adults focused on employment, vocational training, life enrichment or volunteer work.
Karen Alexander
TCRP J-11 Task 41: Pathways to Effective, Inclusive, and Equitable Virtual Public Engagement for Public Transportation
Address significant gaps in public engagement guidance currently available to transit agencies seeking to use virtual tools and techniques to facilitate communication with the community, potential passengers, and current riders.
One-on-One Travel Instruction
Participants work with a travel instructor who teaches safe travel skills using remote and virtual instruction, then by riding on the bus or train with the customer individually until they can travel confidently and independently.
NJTIP Travel Training
This 3- day program introduces participants to accessible fixed route transportation and other mobility options, in New Jersey.
Recent Publications
Invisible Rides: How Car-Less Americans Access Cars
How and why do zero-car households seek car access? We used a national online survey of 830 American adults and interviews with twenty-nine low- and moderate-income travelers about their car access behaviors to answer this question. We validated our findings with the...
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. Results suggest those with higher educational attainment, higher incomes, and prior experience...
Powering bikeshare in New York City: does the usage of e-bikes differ from regular bikes?
Abstract In this study, we investigate the difference between shared electric bicycles (e-bikes) and conventional shared bikes operated by Citi Bike in New York City. We examine differences in usage by examining summary statistics and we develop conditional...
The Traffic Calming Effect of Delineated Bicycle Lanes
Abstract We analyze the effect of a bicycle lane on traffic speeds. Computer vision techniques are used to detect and classify the speed and trajectory of over 9,000 motor-vehicles at an intersection that was part of a pilot demonstration in which a bicycle lane was...