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Explore Live NextBus Implementation
We now have more than 50 North American transit systems using real-time reporting on 100s of routes. Please begin with a virtual visit to the new NextBus installation at MIT in Cambridge, MA--and from there to all of our live installations. Click here to begin your exploration.
Oct
29
Five Ways to Reduce Transit Costs in the Face of Powerful Transit Challenges
Filed Under AVL Systems, Best Practices, Feature Stories, Municipal Transit, Real-time Passenger Information Systems, Transit Management Challenges, Transit Trends, Transportation Trends, University Transit | Leave a Comment
The transit industry is experiencing an unprecedented combination of factors that seriously affect transit service provision. Rising fuel costs have driven many commuters to use public transit as their primary method of transportation to and from work. To make matters worse, motor fuel tax revenues are down… Continue reading
Oct
29
Five Tough Transit Management Challenges–and How to Solve Them
Filed Under AVL Systems, Best Practices, Feature Stories, Municipal Transit, Real-time Passenger Information Systems, Transportation Trends, University Transit | Leave a Comment
What We’ve Learned Recently from Our Research about Your Top Challenges
In August 2008, NextBus conducted research among transit executives to determine their most important challenges.
The five following issues were rated extremely important by more than 75% of respondents. That is, they ranked… Continue reading
Aug
18
NextBus Research Results Flag Top Transit Concerns & Technologies
Filed Under AVL Systems, Best Practices, Municipal Transit, Research, Transit Trends, Transportation Trends | Leave a Comment
We have just completed a research study among municipal transit executives designed to determine key trends and technologies as of August 2008. The study covers a broad range of transit systems from very large to very small.
Here are key findings:
- 37% have seen more than a 10% increase in ridership over the past six months
- 32% operate more than 100 transit vehicles
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68% carry more than one million passengers annually
- Only 4%
Jul
11
What’s Better? A Large Fleet of Small Buses or a Small Fleet of Large Buses?
Filed Under Best Practices, Feature Stories, Research, Transit Trends, University Transit | Leave a Comment
In February 2008, a most useful research tool appeared on the transit management scene. But what was merely useful in February may be a vital tool today in the face of a 33% increase in the price of fuel from February to June 2008.
The National Center… Continue reading
Jul
10
NextBus is Key Sustainability Component at U of S. Carolina
Filed Under Best Practices, Feature Stories, Sustainability, University Transit | Leave a Comment
NextBus technology powers 50% increase in student ridership
The University of South Carolina takes sustainability seriously. They apply the concept of sustainability broadly throughout the campus in everything from green buildings to student transportation. NextBus has been able to play an important… Continue reading
Jul
10
Paperless Schedules May Be the Secret to Keeping Your Riders Happy and Safe
Filed Under AVL Systems, Best Practices, Feature Stories, Real-time Passenger Information Systems, Transit Trends, University Transit | Leave a Comment
There is an old joke that the paperless office is just as likely as they paperless bathroom. That may be true, but in the case of transit schedules and maps, paperless looks like the way to go.
Apart from the obvious benefit of saving trees, digital information… Continue reading
Jun
8
5 Biggest Benefits of Real-time Passenger Information Systems
Filed Under AVL Systems, Best Practices, Municipal Transit, Real-time Passenger Information Systems, University Transit | Leave a Comment
How Your Agency Can Save Money, Time, and Aggravation
Real-time Passenger Information Systems (RTPIS) provide a wealth of information to both the transit agency’s customers, as well as the managers, planners, supervisors, and even bus operators of that transit agency. The name “Real-time Passenger