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Atos > Case Studies > CityPulse: Using Big Data for Real Time Incident Response Management

CityPulse: Using Big Data for Real Time Incident Response Management

Technology Category

Analytics & Modeling - Big Data Analytics

Applicable Industries

Cities & Municipalities

Applicable Functions

Business Operation

Use Cases

Smart City Operations

The Challenge

The City of Eindhoven is aimed to manage a street in the center of town - Stratumseind - the longest and most vibrant street in the Netherlands with more than 50 bars and nightclubs.

The Customer

The City of Eindhoven and the Dutch Institute of Safety and Security

About The Customer

The City of Eindhoven and the Dutch Institute of Safety and Security (DITSS)

The Solution

Capturing data from a range of existing sources including visitor numbers and sound levels this “on the ground” information is combined with data gathered from social media sources to create a powerful picture of the street and help authorities better forecast and react to situations and de-escalate them before they develop. For the City of Eindhoven and Stratumseind, the data gathered is primarily used to change the colour and intensity of the street lighting. This can be done automatically, or manually. Big Data Analytics ensure that any anomaly to what is considered a ‘normal’ data pattern can be cross referenced against the other data sources. If these data sources confirm an incident, the CityPulse dashboard alerts the police control room allowing them to make informed decisions on any additional action that might be required.

Data Collected

Human traffic, Incident Rate, Light Intensity, Visitor Volume

Operational Impact

[Product Improvement - Customer Satisfaction]
Safer and more sociable environment for visitors and citizens.
[Efficiency Improvement - Labor]
Police resources can be focussed where they are really required.
[Cost Reduction - Maintenance]
The city and business owners have lower repair and clean-up costs.

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