ENTRIES TAGGED "city data"
Oliver O'Brien has visualized real-time bike share use not only in NYC, but in cities around the world as well.
New York City’s new bike-share program, Citi Bike, has been underway for a couple of weeks now. Its level of success is still up for debate, but the stats are impressive: as of June 10, there had been 173,516 trips traveled over 510,782 miles since the launch. Oliver O’Brien, a researcher and software developer at the Centre for Advanced Spatial Analysis (CASA), and a contributor to OpenStreetMap, has developed a visualization of bike share use in real time.
Urban Data Challenge winners Adam Greenhall, Amelia Greenhall, and Jared McFarland visualized bus route activity for Zurich, San Francisco, and Geneva.
The Urban Data Challenge winners have been announced. The grand prize was awarded to the team behind the Dots on the Bus animated, interactive visualization — Adam Greenhall, Amelia Greenhall, and Jared McFarland.
The team culled public transportation data provided for the contest by Zurich, San Francisco, and Geneva from the week of October 1-7, 2012. According to the about pop-up on the visualization site, the data included “each bus, the time it arrived at each stop, and how many people got on and off (as counted by lasers), along with the lat/long of each stop and route.”
Using WHO data, The Guardian Data Blog team pulled together a world map of annual pollution exposure.
The latest reports of severe smog blanketing Beijing inspired The Guardian Data Blog team to dip into World Heath Organization data and design a world map of annual pollution exposure by city. Data Blog researcher Ami Sedghi writes:
“The World Health Organisation (WHO) warns that exposure to particulate matter increases the risk of many chronic and acute respiratory conditions in children and adults. The WHO air quality guidelines indicate that by reducing particulate matter (PM10) pollution from 70 to 20 micrograms per cubic metre, air quality related deaths can be reduced by around 15%.”
Using Uber's ride data, neuroscientist Bradley Voytek created a visualization showing the flow of people throughout nine US cities.
In January, Uber’s resident neuroscientist Bradley Voytek put together a visualization of the flow of people in San Francisco — the volume and direction of people traveling from one city neighborhood to another — using Uber’s ride data. Now, he’s done it for eight more US cities.
Here’s a look at the flow in Boston: