Predictive Analytics
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Tampere, FI predicts future foot traffic in the city center with its Tamperen Pulssi tool
Tampere and Wapice Oy used camera footage from central locations for foot traffic pattern identification. An AI-powered platform estimates future traffic within the context of weather forecasts, public holidays, and local arena events. Local businesses and agencies can see next month's estimated pedestrian traffic by opening Tamperen Pulssi in the Tampere.Finland app. This resource proves valuable in areas from staffing shops and restaurants to planning street maintenance.
Tampere, FI
Finland
Greater London Authority, GB Challenge LDN seeks ideas for predicting planning permission approval
Challenge LDN asks participants for ideas on predicting planning permission approval based on available data. Individuals and teams submit new methodologies for evaluating applications on the Planning London Datahub. Ten finalists are selected based on criteria including scalability, collaboration, and innovation. Each finalist receives £500 and works with planning experts on idea development. Winning innovations share £3,500 and provide the certainty necessary for smart growth.
Greater London Authority, GB
United Kingdom
Dorset Council, GB creates a data model for estimating cost of living impacts on local households
The Microsoft Power BI tool synthesizes inflation data from the national government, income data from Experian, and social media sentiment analysis. This model supports council-wide and postcode-level supports for families struggling with inflation. Council officials first deployed the internal tool in evaluating how a national energy price cap of £2,500 affected local residents. Dorset Council will continue to add data inputs for more accurate predictions of economic conditions.
Dorset Council, GB
United Kingdom
Norfolk, VA created the Flood Risk Learning Center tool to help residents protect their homes
The City of Norfolk's Office of Resilience partnered with Civis Analytics to create the Flood Risk Learning Center tool to help residents protect their homes. The online tool allows renters and homeowners to view information on their chances of experiencing a flood and the potential severity of the flooding. The tool also suggests mitigations that residents can take to lower flood insurance premiums and reduce potential damage such as relocating crawl space utilities and filling in basements.
Norfolk, VA
United States
San Antonio, TX partnered with AppGeo to map flood forecasting predictive analytics with FloodWorks
The San Antonio River Authority and the San Antonio Emergency Operations Center partnered with AppGeo to map flood forecasting predictive analytics with the FloodWorks hydrologic modelling viewer. The website provides map, graphic, chart, and data views of current flood forecasting in order to provide emergency responders with up to 24 hours notice to proactively prepare for floods.
San Antonio, TX
United States
Dallas, TX partnered with UTSA criminologists to reduce violent crime through data-driven policing
The Dallas Police Department partnered with University of Texas-San Antonio (UTSA) criminologists to develop a violent crime reduction strategy using evidence-based practices. The strategy was created based on a hybrid of historic/predictive data modeling and integrated deterrence methods. The strategy involved identifying higher crime areas and either assigning more officers to that zone or apply more focus on a small percentage of offenders responsible for most of the crime.
Dallas, TX
United States
Gent (Gand) [Ghent]. VOV turns downtown traffic data into predictions during three-month pilot
The pilot tests four types of cameras and sensors throughout Gent's downtown streets. Each device gathers anonymized data on pedestrians, cyclists, and vehicles for analysis by an AI-powered system. Months of data predict when and where congestion is most likely to occur in high-traffic areas, providing valuable intelligence to city officials and businesses. The pilot also determines which device works best for expanded deployment.
Gent (Gand) [Ghent], VOV
Belgium
Camden County, NJ Police Department test artificial intelligence to predict crime and direct patrols
The Camden County Police Department has been using civilian crime analysts to direct patrols based on predictions of possible crime locations. The department is now piloting crime forecasting software offered by ShotSpotter as a possible upgraded alternative to analysts.
Camden County, NJ
United States