Transit Patterns
US Transit Patterns 2002–2012
This piece shows passenger trips for buses, streetcars, light rail and heavy rail across the United States, for the years 2002–2012. The app displays total trips for the selected time period as well as trips per capita based on the population of the city. The four transportation modes can be switched on or off to compare select modes to one another. Sliders allow changing the year and the month individually, to view a single year or several years in succession. Hovering over the bubbles will show the corresponding trip and trip per person information. The basemap shows the distribution of transit terminals across the country.
Built using Processing 2.0. Trip data from the National Transit Database, Monthly Module Data Apr 2013. Basemap data from the RITA Bureau of Transportation Statistics, Intermodal Passenger Connectivity database.
System requirements: This application runs on both Mac OS X Snow Leopard (or higher) and Windows 7 (or higher). We recommend a screen resolution of at least 1280x800. On Windows, the application requires Java—if you are using Windows and do not have Java installed, you can download it here. If you run 64-bit Windows make sure that you download the 64-bit version.
Transit Patterns (Urban Data Challenge)
Three videos show public transit ridership over the course of 24 hours in 2012, for the cities San Francisco, Zurich, and Geneva. As the transit passenger data suggests, Geneva is centralized while Zurich appears to have multiple centers, and activity is concentrated during rush hours. Activity in San Francisco on the other hand is more evenly spread out, both spatially and over the course of the day. These insights are useful for city planners and transit authorities, who can see what areas see high and low ridership and understand what areas are underserved by public transit. They may also have value for individuals. With real-time ridership data, transit authorities could tailor their schedules dynamically to the current demand, giving individuals the benefit of more timely stops. Schedules could be dynamically set and accessed from mobile devices to give individuals a real-time overview of their transit options. The submitted visualizations are early prototypes of such an application—they would allow for the selection of specific stops or destinations and make suggestions as to the best travel times and routes.
Built using Processing 2.0. Data provided by swissnexSF for the 2013 Urban Data Challenge.
About Schema
Schema is a creative design and technology studio specializing in the visualization of information. We create information experiences that empower people. As a multidisciplinary design studio our work includes software design and development, visual design and branding, information design, and data visualization. Schema is located in Seattle, WA.