DJA nominee of the day: Pedestrian Crashes in Novosibirsk 2011


The nominees for the 2012 edition of the Data Journalism Awards (DJA) were announced on 27 April at the International Journalism Festival in Perugia, Italy. In this series of posts we are featuring the 57 nominated projects one by one in order to tell the story behind each project. Every day we are showcasing a different project from the six categories of the competition.


Pedestrian Crashes in Novosibirsk 2011 was one of the nine data projects nominated for the category Data Visualisation and Storytelling (local/regional). The project is an interactive map that shows all the road accidents involving pedestrians in Novosibirsk, Russia, in 2011. Accidents can be explored by month or for the whole year. The data shows the outcome of the accident, e.g. the type of injury incurred by the pedestrian, the driver's gender and age, the pedestrian's gender and age and if the accident occurred on a sidewalk or not. Monthly and yearly statistics about the number of pedestrians injured and their gender are displayed on the left side of the page.

Designer Nikolay Guryanov, along with developers Stas Seletskiy and Alexey Papulovskiy, worked independently in their spare time to create this map over the period of one year. In the interview accompanying the application form, the team behind the project explains: "We tried to draw attention to the problem of pedestrian crashes in the city by the clear and detailed presentation of all the accidents. As a result, the map drew the attention of local and federal media and provoked discussions in Novosibirsk." 


The maps and timeline to navigate through pedestrian accidents in Novosibirsk (Google translation)

The data for this map was obtained from the accident reports published daily by Novosibirsk GIBDD (the State Inspectorate for Road Traffic Safety) on their website.

The skills necessary for the project were Javascript coding, HTML, and map visualization. The tools used included Google Maps API Style Wizard, jQuery and Photoshop.

Asked about the challenges they encountered, the project team wrote: "The very tough challenge was to provide data and to refrain from conclusions about who to blame for the poor road safety situation. We tried to demonstrate that the problem is complex."


Users can choose to navigate the data through various maps (original Russian version)

The project received a lot of attention in Russia. The team behind the project had four interviews with local and federal TV channels and several articles in news media.

Advice for aspiring data journalists:

"Try to present rich data in a clear manner and give viewers the chance to come to their own conclusions."


The Data Journalism Awards is a Global Editors Network initiative supported by Google and organized in collaboration with the European Journalism Centre. Please visit the Data Journalism Awards website for the full list of nominees.