USE DATA VISUALISATION TO AID PLANNING FOR SUSTAINABLE MOBILITY SERVICES IN SWEDEN -

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This data driven competition is hosted by the Swedish Agency for Economic and Regional Growth in collaboration with the ”A Challenge from Sweden” initiative  for challenge-driven innovation by the Swedish Energy Agency and Swedish Incubators & Science Parks. The competition was open for entries between 2019-01-25 and 2019-02-15. Entries were submitted within this period and they were judged independently by the jury panel and a winner was then appointed. The participants were informed about the results on 2019-02-26 with feedback from the jury.

Winner: The project “Mobility Observer”

Project description 

As data availability has improved into the 21st century, so too has the world’s ability analyzeand predict. However, the mass of new data available requires new techniques to understandand analyze its meaning. Data visualization enables users to more easily understand and interpret large datasets and identify trends and anomalies.  

“Mobility Observer”, produced byTyler Wolf and Adam Ekberg, provides a means of visually analyzing and identifying opportunities in sustainable mobility services in the Stockholm municipal area. Mobility Observer is a web-based tool that maps quantitative travel data so that users can quickly identify areas for further inquiry. In the longer term, the tool will include functionality for analyzing individual mobility. In addition, coverage will extend to all parts of Sweden with publicly available traffic data. 

In this prototype, the application focuses on the Stockholm metropolitan area. This is built as React front end using data files collected from the Stockholm Open Data API https://open.stockholm.se/  and maps are from Mapbox https://mapbox.com. Data is then layered over the maps using WebGL. 

The user is presented with a map and a toolbar for toggling various features on and off. Datasets includedin the prototype are:  

  • Parking space locations
  • Bus stop locations
  • Bicycle traffic flow
  • Vehicle traffic flow

Users can toggle the various features on and off and use the map to visually identify areas ofhigh or low service. Bicycle traffic flow is visualized in 3D where taller columns on the mapsignify higher traffic volume. Users can turn off the heigh-mapped data so that the points willinstead appear flat on the map. 

Why did the jury group choose this entry as winner:   

Team Wolfberg United (team members : Tyler Wolf and Adam Ekberg) submitted the project idea ”Mobility Observer” and have developed a solution that delivers a visualisation of open data for Stockholm in an appealing, easily understandable and scalable way.  The jury panel believes that the Mobility Observer has the potential to increase value for planners and decision makers on several levels in the community. Further we believe that it will provide quick, easily accessible and useful information for business developers of new sustainable mobility services.  

The Mobility Observer is the one that best shows how to mix different data sets in one layout. To reach full applicability though, it needs to add more data sets, cities and functions. All of which are well described in the application.   

The team showed good understanding of the needs from the organisations behind the competition as they describe the further need for development and scalability of the Mobility Observer. 

Competition entry: CARTOPi-experimental cartography and design for beter understanding about mobility

Project description 

Topi Tjukanov, the creator behind the project wanted to make things look so appealing that people will stop, stare and spend a moment or two to understand mobility better. His approach in the competition is to take best practices from cartography, information design and data art and combine those with data analytics. With appealing design and even experimental cartography, we can capture viewers’ attention for a longer time and make them actually think about their mobility, and how our current infrastructure has been built. 

WHY? 

Traffic  and  accessibility form  patterns,  we  cannot  see  and  we  cannot often understand. These  patterns  do  not  end  at  the border of a municipality or even a country. This is why visualization plays a central role in understanding our movement better and thus making better decisions for sustainable mobility. The amount of data around us is growing exponentially, but understanding is not becoming much easier. Traditional methods of  visualizing  transportation  are  somewhat  limited to  traditional  north-facing  thematic  maps,  but with  through  animations, experimental use of colors and innovative use of data sources we can try to tackle this issue. From his own experience and analytics he has done in Finland, he knew that our infrastructure and our daily lives have been built around car ownership and thus accessibility with car is superior to other forms of transport. The outputs are beneficial for transportation planners, citizens and decision makers as they attempt to “popularize” complex issues. The process is also beneficial for data providers as they get feedback of the usability of their datasets.  

All of the prototypes on his website https://tjukanov.org/ including this project have been created using open datasources (OpenStreetMap, Trafikverket, HERE API…) and open source tools(Python, QGIS, PostGIS, GIMP…).  In this case, several gigabytes of data was processed to produce the images and the main idea of the design is to make the information easy to consume despite massive amount of data behind the scene. 

Competition entry: Travel patterns in Sweden

Project description 

The team comprised of Ibrahim Laouisset, Mohammed Algarni, Majed khoja, Mukram Mohammed, Abdallah Albarreet and they have made used of open data provided by TrafikAnalys https://www.trafa.se/kommunikationsvanor/RVU-Sverige to show number of thousand journeys a year by main purpose (Business, work and study-related/Service and shopping/Leisure/ Other purpose) and main mode of travel for the year 2015–2016. Html, Css, Power BI, Excel have been used to produce the visualisation. 

COLLABORATING PARTNERS

IIS - Internetstiftelsen i Sverige
Trafiklab

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