disclaimer: image is for illustration purposes only
Researchers are trying to distill smart transit philosophy into a machine-learning algorithm. Scientists hope their smart transit model will reveal a recipe for a smarter city, organized in way that relieves the congestion common on the mass transit systems of major cities.
"Singapore needs an efficient transport system to support people's activities given the existing and planned infrastructure," project leader Christopher Monterola, a researcher at the Agency for Science, Technology and Research's Institute of High Performance Computing, explained in a news release. "To guide planners, we needed a model that could predict ridership under the regional centers plan."
Like many cities, Singapore consists of a large central downtown, or an inner central business district, surrounded by less dense residential and industrial zones. With so many commuting in and out of the central business district at rush hour, the setup promotes congestion.
Planning officials are working to promote less centralized urban density -- regional centers spread throughout the city state.
To predict how these efforts and other land use trends will affect metro ridership and transportation patterns, researchers have turned to machine-learning.
Scientists supplied their algorithm with both ridership and land-use distribution data. Researchers plotted the paths of more than 20 million bus and subway journeys over the course of week. They combined ridership patterns with information on the concentration of lands used for business, industry, residence and outdoor recreation.
The researchers experimented with three machine-learning models to see which best predicted the relationship between land-use and ridership.
"We found that a decision tree model performed best, with good accuracy, computational efficiency and an easy-to-follow user display," Monterola explained. "Results indicated that an increase in amenities of up to 55 per cent across the city would increase ridership. Beyond this point, ridership begins to decline; this is logical because if amenities are available locally, people walk instead."
Dense concentrations of amenities were the best predictors of mass transit use. Researchers hope their findings -- detailed in the journal Land Use Policy -- will help city officials expand and augment the mass transit system to better meet and anticipate the needs of Singapore's riders.
Thanks for being here;|
We need your help. The SpaceDaily news network continues to grow but revenues have never been harder to maintain.
With the rise of Ad Blockers, and Facebook - our traditional revenue sources via quality network advertising continues to decline. And unlike so many other news sites, we don't have a paywall - with those annoying usernames and passwords.
Our news coverage takes time and effort to publish 365 days a year.
If you find our news sites informative and useful then please consider becoming a regular supporter or for now make a one off contribution.
$5 Billed Once
credit card or paypal
SpaceDaily Monthly Supporter
$5 Billed Monthly
Share this article via these popular social media networks|
Hungary orders fraud probe into Budapest metro project
Budapest (AFP) Jan 19, 2017
Hungary said Thursday it has ordered a criminal probe into suspected graft during the construction of a Budapest metro line after the EU's anti-fraud office found evidence of possible corruption. Prime Minister Viktor Orban's chief-of-staff said the government has asked prosecutors to investigate the 1.7-billion-euro ($1.77-billion) project that was partly financed by the European Union. ... read more
Memory Foam Mattress Review
Newsletters :: SpaceDaily :: SpaceWar :: TerraDaily :: Energy Daily|
XML Feeds :: Space News :: Earth News :: War News :: Solar Energy News
|The content herein, unless otherwise known to be public domain, are Copyright 1995-2017 - Space Media Network. All websites are published in Australia and are solely subject to Australian law and governed by Fair Use principals for news reporting and research purposes. AFP, UPI and IANS news wire stories are copyright Agence France-Presse, United Press International and Indo-Asia News Service. ESA news reports are copyright European Space Agency. All NASA sourced material is public domain. Additional copyrights may apply in whole or part to other bona fide parties. All articles labeled "by Staff Writers" include reports supplied to Space Media Network by industry news wires, PR agencies, corporate press officers and the like. Such articles are individually curated and edited by Space Media Network staff on the basis of the report's information value to our industry and professional readership. Advertising does not imply endorsement, agreement or approval of any opinions, statements or information provided by Space Media Network on any Web page published or hosted by Space Media Network. Privacy Statement|