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Webinar on Dynamic Visualisations for Analysing Road & Traffic Accident Data
Webinar on Dynamic Visualisations for Analysing Road & Traffic Accident Data

Application Area

  • Data gathering
  • Analysis, scenarios and measure selection
  • Appraisal and assessment
  • Evaluation and monitoring
  • Dissemination and communication

Tool Type

  • Other

Target Audience

  • Small cities
  • Medium-sized cities
  • Large cities
  • Metropolitan regions

Summary

This webinar has been shared by PoliVisu and is available to view on-demand to demonstrate how modern data analysis often requires special techniques for handling complex data structures.

Interactive graphs can provide insights into multivariate datasets by communicating the key aspects in a more intuitive way than isolated bar charts or static maps. This webinar recording presents the WebGLayer tool as an enabler of dynamic visualisations that make spatio-temporal patterns, relationships, and trends in the underlying data more apparent. Using case studies from Pilsen (CZ) and Flanders (BE), the speakers describe how policymakers can use WebGLayer to address local problems such as traffic congestion and road accidents.

Good Example

The webinar includes case studies that use integrated dynamic visualisations to address mobility challenges. Dynamic visualisations are gaining traction, with many data portals now providing this capability for at least a small portion of their data collection. However, such visualisations are often one-dimensional, typically focusing on time or location but rarely both. In PoliVisu, spatio-temporal aspects have been integrated into a single interface to provide a more holistic view of the data. The WebGL-based Flanders accident map is a case in point, where map selections are automatically reflected in the chart view and vice versa.

Visualising the impact of policy measures in a transparent manner requires a lot of political will. But it is equally important to have strong grassroot demand for such data to be shared in an accessible, easy-to-understand way. The PoliVisu pilot in Mechelen, which focuses on school streets, was able to achieve that by i) involving citizens in data collection, ii) building a multi-stakeholder coalition involving the local government, citizens, schools and research organisations, and iii) using advanced web-based tools to visualise citizen science data. The end result is an online dashboard that visualises the impact of school streets (i.e. streets that are closed to cars when children arrive at and leave the school) on traffic conditions in the neighbourhood.

Input Data

Not needed

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