A Real-Time Transportation Dashboard for Cities

We’re beginning to work on a prototype for an urban transportation dashboard using existing available sensor data and feeds as well as free platforms and tools. We can now communicate with parts of the urban ecosystem in entirely new ways. Urban objects like buildings and bridges tweet, massively scaled human sensors provide traffic and road information, cities offer real-time public transit data and citizens power all kinds of information necessary for emergency alert and notifications which can be integrated and offered at high efficiency and low cost compared to vast infrastructural solutions. Twitter, for example, as an emergent platform is useful for connecting urban objects such as bridges, bodies of water and buildings, people and aggregations of the city itself.

This talk explores questions associated with developing the dashboard and shares the prototype visualization and sonification. Real-Time Urban Migration - How do you move through a data driven city?

1. What information is already available? Transit, Urban Objects, Citizens, Traffic +crime, transit, alerts tied to feeds +seismic data +twitter based real-time trending +emergency alert systems and notifications +waze road and traffic data

2. How can we be guided by this dashboard + Navigate on time more than space +How can these integrated feeds drive decision making? +What is the city saying and what do I need to know? + What time should I leave for work? + What route shall I take? + What has changed? + Individual vs. Aggergated traces- urban migration patterns-Growth- births, checkins, city pule

3. Which platforms emerge to allow this information to be collected and shared?

4. What patterns emerge using LA data as a sample? +How urban data visualization can change the aesthetic or patterns of a city?

5. How can this dashboard be used in enabling multimodal transportation?

6. Living map- How can cartography changed and informed? +How smarter cities are changing how we migrate and the face and purpose of maps +Basic features, roads and tiles change based on weather and density of drivers, trending etc +How do we visualize this data to use as a living map?