Many European cities experience substantial air pollution, which is to a large extent caused by road traffic. In Norway, air pollution causes around 2.000 premature deaths every year. Municipalities need real-time environmental data at high spatial and temporal resolution to design effective plans and actions for tackling air quality and climate change mitigation.
However, the municipalities need information on a more detailed level than current air quality and traffic monitoring systems can deliver. URBANITY will meet this need by combining data collected by sensor networks in three Norwegian municipalities with static and mobile novel low-cost sensor (LCS) technologies, offering real-time weather, air pollution, and multimodal traffic data. The LCS network will consist of municipality owned sensors, but will also actively involve citizens in collecting environmental data (citizen science).
Using state-of-the-art automated algorithms, based on machine learning and data assimilation, we will process the collected environmental sensor data and perform real-time quality control and validation. This will provide municipalities, citizens, and other interested parties with high quality, locally specific open environmental information.
The collected air pollution and traffic-counts sensor data will be combined with mobility data from Telenor and Ruter, satellite data, and urban air quality and emission models. This provides municipalities with real-time environmental data relevant for human exposure, and highly improved emission inventories.
URBANITY outputs will allow municipalities to design more effective measures for air pollution and greenhouse gases, while also providing better information to their citizens. By involving the citizens, URBANITY will also contribute to increased knowledge and awareness about air pollution and climate change among city dwellers.
In order to guarantee long-term sustainability in municipalities, they have to tackle environmental challenges in an innovative way. This project focuses on mitigation of air pollution and greenhouse gases (GHGs) by combining innovative monitoring systems with active citizen participation to find novel services to increase the use of sustainable transport. The outcomes of this project enable Norwegian municipalities to provide better services for their city dwellers while at the same time contributing to a greener future.
We will set up new infrastructures for monitoring air pollutants and traffic. Based on data assimilation techniques, use of Artificial Intelligence (AI) and Machine Learning (ML), we will deliver data of high quality. Combining data from official monitoring stations, low-cost sensors, satellite data and citizens’ perceptions allows us to provide municipalities and other stakeholders with new data sets for services such as personalized information systems or data-driven mobility planning. Urban Living Labs (ULLs) will bring together citizens, representatives of municipalities, transport company and other stakeholders that could be interested. ULLs will serve as an arena for co-designing services and information solutions to increase the use of sustainable modes of transport and thus, result in mitigating emissions from air pollution and GHGs. The project outcomes will benefit both municipalities and their inhabitants and contribute to UN’s Sustainable Development Goals (SDGs) and society at large.