Using data to tell the story of how we live and move in urban India!
We just made it to the Mars orbit! But what about our shorter trips closer to home? How do we move about our cities? From home to work, and from work to play? How much are we traveling? Who uses our roads, buses, and trains? Who walks and when do we walk? How do we make these choices? And how do these choices impact our health and our economy?
The Institute of Urban Transport has launched a Data Visualization Challenge at UMI 2014 with support from EMBARQ India. The Challenge asks urban planners, designers, data scientists, and civil society to use a mobility dataset to create meaningful visualizations that answer the question: How do we move about Indian cities?
Top entries will be displayed and seen by 1000+ urban transport professionals and officials at the Urban Mobility India Conference (UMI) in November 2014.
Five winners will be selected by an eminent panel of jurors. The winners will receive their awards at the UMI Conference by the Honorable Minister for Urban Development, Mr. M. Venkaiah Naidu. The winning entries will be widely distributed and seen by thousands of people.
Data is stories in numbers waiting to be told. By understanding data, you can uncover insights and hidden patterns that improve our understanding of how urban India lives.
Show us new ways to tackle a basic question: How do we move about Indian cities?
Your story can be one of long or short trips in cities, of mobility for the young and old, of challenges in ever growing cities, of how transport brings us together and keeps us segregated, or any other story that grabs your attention!
Tell us this story in the form of a compelling visual or an infographic.
The dataset available to you for this Challenge includes the following fields for 15 Indian cities :
- Mode share, average trip length, time of journey to work
- Availability of assets, number of registered vehicles
- Length of paved roads, vehicles per 1000 population
- Emissions, health, and accident data
- Population, geographic area, income data
We invite you to study this data and extract stories of how people’s lives are shaped, impacted, improved, and perhaps even hampered by our most basic need for movement.
We encourage you to participate in the Challenge, whether or not you have experience in visualizing data.
To see shortlisted entries, click here.
To see the winning entries, click here.
This challenge is now closed.