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A novel approach of creating sustainable urban planning solutions that optimise the local air quality and environmental equity in Helsinki, Finland: The CouSCOUS study protocol.

Joanne C DemmlerÁkos GosztonyiYaxing DuMatti LeinonenLaura RuotsalainenLeena JärviSanna Ala-Mantila
Published in: PloS one (2021)
We will use high-resolution spatial data and linked electronic population cohort for Helsinki Metropolitan Area (Finland) to model (a) population dynamics and urban inequality related to air pollution; (b) detailed aerosol dynamics, aerosol and gas-phase chemistry together with detailed flow characteristics; (c) high-resolution traffic flow addressing dynamical changes at the city environment, such as accidents, construction work and unexpected congestion. Finally, we will fuse the information resulting from these models into an optimal city planning model balancing air quality, comfort, accessibility and travelling efficiency.
Keyphrases
  • high resolution
  • air pollution
  • study protocol
  • randomized controlled trial
  • clinical trial
  • particulate matter
  • lung function
  • electronic health record
  • health information
  • high speed
  • deep learning
  • double blind