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Big Data Test Infrastructure (BDTI)
  • 25 October 2024

Accidents Time Series Analysis (2008-2024): Arezzo Municipality, Italy

The pilot will leverage advanced time-series analysis on accident data to find dangerous roads or intersections in Arezzo municipality’s urban planning and outline correlations between accidents, weather, and street conditions.  

Pilot description

Pilot start date: October, 2024 

Arezzo’s pilot aims to foster data-driven decision-making to achieve a sensitive decrease in the city’s scores of accidents and injured people. The cornerstone of this project will be an in-depth, overarching analysis of a vast database of dangerous roads and intersections in Arezzo’s municipality. The anonymised data, collected from 2008 onwards, will help identify further correlations between the accident rate and other variables, such as weather conditions, street quality, time of the day, etc.  

The goal is to improve road safety in dangerous hotspots through informed public decision-making. According to the data gathered, Arezzo’s municipality will engage other stakeholders, such as the municipal police, law enforcement agencies, or other local government services, to contribute to its mobility and urban planning strategies. 

Use cases addressed:  

  • Time-series analysis 
  • Descriptive analysis 

Data used: Accidents time-series with accident date/type, accident georeferencing, road condition and type, road signage, traffic type, presence of witnesses, incident severity (injuries, casualties) 

Data sources: Municipal Data – accidents time-series 2008-2024 (Anonymised) 

Stakeholders

Arezzo municipality

Municipal police

Law enforcement agencies

Other local government services