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New analysis by the Urban Institute explores the transit challenges for working poor living in suburbs in four U.S. metros. The data study forms the basis for new conversations around transportation equity.
Hundreds of smaller communities across the country — with limited routes into and out of town — face greater danger when confronted with emergency evacuations, according to a risk assessment study by Streetlight Data.
The growing laundry list of connected devices and vehicles continue to make the case for platforms that pull all of the data into one easily accessible system. Two projects are doing just that in Georgia and South Dakota.
As public transit in the United States pulls itself out of the COVID-19 downturn, watch for it to fast track innovation as it aims to achieve increased efficiencies, responsiveness and more rapidly respond to community needs.
In a recent Meeting of the Minds panel discussion, transportation experts weighed in on how the future of urban mobility innovation will be tied to a wide range of data sources and thorough analysis.
Four months after the acquisition of a competitor, the Florida-based smart streetlight company has raised money to invest in new products and betting on a bright future for 5G and smart city technology.
A new report by the Transportation Research Board looks at public transit’s declining ridership trends from 2012 to 2016, due in part to housing and demographic changes, and of course Uber and Lyft.
Sirius XM Connected Vehicle Services, a subsidiary of the radio company, has expanded the range of telematics it can automatically send to first responders via integration with RapidSOS’ data pipeline.
Analysis from StreetLight Data shows traffic levels have largely returned to pre-COVID levels, particularly in rural counties, and among more blue-collar workers who can’t always work from home.
Bellevue, Wash., conducted a traffic study examining thousands of hours of video footage taken from 40 intersections for data around near-miss accidents. The project is part of a larger effort to reduce traffic fatalities.
The Automated Vehicle Transparency and Engagement for Safe Testing (AV TEST) is an initiative by the U.S. Department of Transportation to grow AV technology through information-sharing and development of best-practices.
Transportation tech company Coord is partnering with several cities to launch a handful of curbside management pilot projects. The urban real estate is much sought after in the age of ride sharing and on-demand deliveries.
The Los Angeles Department of Transportation's collection of trip data for shared e-scooters and similar on-demand devices is being challenged as a government overreach in federal district court.
StreetLight Data's new examination of 100 U.S. metros during the nationwide stay-at-home orders shows that small changes to societal norms, like daily commutes, could have significant impacts for air quality.
Shair is a real-time, air-quality monitoring tool that measures particulate matter, nitrogen oxide and several other pollutants, subsequently making the findings easily understandable for all users.
Fleet management technology from Samsara gives officials in Boston a close look into the operations of hundreds of vehicles crawling across the city.
The city has developed a public-facing dashboard dedicated to COVID-19 resources for residents and businesses. Features include the mapping of available essential services and other timely data.
The traffic analysis firm StreetLight Data has seen sharp increases in traffic volume in beach communities, a harbinger of what officials can expect during the three-day Memorial Day weekend.
Movement data pointed to an increase in vehicle activity on Easter Sunday in several U.S. counties. This revelation comes as many states urge residents to avoid nonessential travel to slow the spread of the novel coronavirus.
Data from air-quality sensors shows double-digit reductions in air pollution since millions of commuters in the San Francisco Bay Area are off the roads during the state’s coronavirus stay-home order.