Page 26 - U4SSC: City Science Application Framework

6. Case Studies

To illustrate the application of the city science framework, this deliverable has included the following
case studies, which can be explored further by simply clicking on it;

• Air quality management in Southern California – California, USA

Air pollution has been one of the leading environmental concerns of Southern California. In
response, the district has implemented a digital platform, the “Envirosuite” platform, which utilizes
air quality data, weather data, data on emission rate and others to formulate a baseline scenario on
air pollution of the region which allows officials to identify the source of pollution and take actions
accordingly.

• Happiness Meter – Dubai, UAE

The vision of Smart Dubai is to become the happiest city on earth. In this context Smart Dubai
embraces emerging and frontier technologies to create happy and seamless citywide experiences.
To gauge happiness at the city level, Smart Dubai has implemented a simple yet powerful tool,
called Happiness Meter, to collect data from thousands of touch points in the city instantly to reflect
city residents’ and visitors’ experiences in Dubai.

• Crime prediction for more agile policing in cities – Rio de Janeiro, Brazil

As the crime rate of Rio de Janeiro has been steadily climbing, the police forces have been
experimenting with using predictive analytics to identify crime hot-spots and thereby allocating
resources more efficiently. The mobile phone application developed in this case utilizes data and
machine learning to determine crime hotspots. Crime data is also made available to the public to
improve transparency and accessibility.

• Data-driven energy savings in the Hyperdome shopping centre – Queensland, Australia

Recognizing the growing concern over increasing energy consumption of buildings, Logan city in
Queensland has adopted different measures to improve the city’s sustainability by reducing energy
usage. The Logan Hyperdome shopping centre, one of the largest single storey shopping centres
in Australia, has implemented a series of intelligent solutions to optimize its energy efficiency and
reduce energy consumption.

• Fine Dust Filtration – Stuttgart, Germany

Growing awareness of air pollution among the public in Stuttgart has encouraged local technology
firms, the Ministry of Transport of Baden-Württemberg and the other public sector members to
collaborate on developing filter cubes that utilize data on temperature, humidity, particular count
and other important indicators to reduce fine dust in the air. The collaboration among different local
stakeholders in this case provides valuable lessons on successfully implementing city application.

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