Nav: Home

Bikeshare could increase light rail transit ridership

June 07, 2018

Coupling bikeshare with public transit could be an important component when trying to increase light rail transit (LRT) ridership, according to a new study out of the University of Waterloo.

In their study, researchers from Waterloo explored the most efficient size of a bike pool that would ensure enough bikes would be available to commuters who sign up for a share program.

While the study isn't specific to any particular region, co-author Srinivasan Keshav, who is a professor in Waterloo's Cheriton School of Computer Science, believes bikeshare programs could be a component that municipalities, which are unveiling or revitalizing light rail transit systems, want to consider.

"A solution based on personal mobility makes a lot of sense," says Keshav.

Using mathematics and computer modelling, the researchers worked out the most efficient way to couple bikeshare programs with public transit systems. The study involved taking big data from a Montreal bikeshare program and then using that data to model commuter schedules, and the number of people obtaining or returning bikes at different times and stops.

The model considered commuters who ride rental bikes home from the train station in the evening, then ride back the next morning and drop the bike off. The model anticipates that commuters ride the train to a stop near their work, and pick up a different bike to complete the journey to work.

There are many bikeshare programs in the world, but Keshav said that to his knowledge, this study is the first time anyone has tried to calculate the needs of a bikeshare program coupled with public transit. He believes this model could be used on any multi-modal private and public transportation system.

"That's the nice thing about math, once you have solved a problem it can be used in any number of ways," says Keshav, who hopes a municipality or bikeshare organization might one day launch a pilot project to test out the recent bike-and-ride research. "It takes somebody to do it and carry it into practice, and we would like to believe, and would hope, that our study could motivate people to use public transit."
-end-
The study, which was co-authored by Keshav, Lukasz Golab, professor in Waterloo's School of Management Sciences, Kui Wu, professor at the University of Victoria and Guoming Tang, assistant professor in the College of Systems Engineering at the National University of Defense Technology, appeared recently in the journal IEEE Transactions on Intelligent Transportation Systems.

University of Waterloo

Related Data Articles:

Ups and downs in COVID-19 data may be caused by data reporting practices
As data accumulates on COVID-19 cases and deaths, researchers have observed patterns of peaks and valleys that repeat on a near-weekly basis.
Data centers use less energy than you think
Using the most detailed model to date of global data center energy use, researchers found that massive efficiency gains by data centers have kept energy use roughly flat over the past decade.
Storing data in music
Researchers at ETH Zurich have developed a technique for embedding data in music and transmitting it to a smartphone.
Life data economics: calling for new models to assess the value of human data
After the collapse of the blockchain bubble a number of research organisations are developing platforms to enable individual ownership of life data and establish the data valuation and pricing models.
Geoscience data group urges all scientific disciplines to make data open and accessible
Institutions, science funders, data repositories, publishers, researchers and scientific societies from all scientific disciplines must work together to ensure all scientific data are easy to find, access and use, according to a new commentary in Nature by members of the Enabling FAIR Data Steering Committee.
Democratizing data science
MIT researchers are hoping to advance the democratization of data science with a new tool for nonstatisticians that automatically generates models for analyzing raw data.
Getting the most out of atmospheric data analysis
An international team including researchers from Kanazawa University used a new approach to analyze an atmospheric data set spanning 18 years for the investigation of new-particle formation.
Ecologists ask: Should we be more transparent with data?
In a new Ecological Applications article, authors Stephen M. Powers and Stephanie E.
Should you share data of threatened species?
Scientists and conservationists have continually called for location data to be turned off in wildlife photos and publications to help preserve species but new research suggests there could be more to be gained by sharing a rare find, rather than obscuring it, in certain circumstances.
Futuristic data storage
The development of high-density data storage devices requires the highest possible density of elements in an array made up of individual nanomagnets.
More Data News and Data Current Events

Trending Science News

Current Coronavirus (COVID-19) News

Top Science Podcasts

We have hand picked the top science podcasts of 2020.
Now Playing: TED Radio Hour

Listen Again: The Power Of Spaces
How do spaces shape the human experience? In what ways do our rooms, homes, and buildings give us meaning and purpose? This hour, TED speakers explore the power of the spaces we make and inhabit. Guests include architect Michael Murphy, musician David Byrne, artist Es Devlin, and architect Siamak Hariri.
Now Playing: Science for the People

#576 Science Communication in Creative Places
When you think of science communication, you might think of TED talks or museum talks or video talks, or... people giving lectures. It's a lot of people talking. But there's more to sci comm than that. This week host Bethany Brookshire talks to three people who have looked at science communication in places you might not expect it. We'll speak with Mauna Dasari, a graduate student at Notre Dame, about making mammals into a March Madness match. We'll talk with Sarah Garner, director of the Pathologists Assistant Program at Tulane University School of Medicine, who takes pathology instruction out of...
Now Playing: Radiolab

What If?
There's plenty of speculation about what Donald Trump might do in the wake of the election. Would he dispute the results if he loses? Would he simply refuse to leave office, or even try to use the military to maintain control? Last summer, Rosa Brooks got together a team of experts and political operatives from both sides of the aisle to ask a slightly different question. Rather than arguing about whether he'd do those things, they dug into what exactly would happen if he did. Part war game part choose your own adventure, Rosa's Transition Integrity Project doesn't give us any predictions, and it isn't a referendum on Trump. Instead, it's a deeply illuminating stress test on our laws, our institutions, and on the commitment to democracy written into the constitution. This episode was reported by Bethel Habte, with help from Tracie Hunte, and produced by Bethel Habte. Jeremy Bloom provided original music. Support Radiolab by becoming a member today at Radiolab.org/donate.     You can read The Transition Integrity Project's report here.