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Stockholm Heat

part of Senseable Stockholm Lab

Project leader: Ulla Mörtberg, SEED, KTH

Participants: Fabio Duarte, MIT; Simone Mora, MIT; Sanjana Paul, MIT; Elina Merdymshaeva, KTH

Participate in a survey on perceived heat!

During summer 2024, we conduct a Participatory GIS survey in the City of Stockholm, on how citizens perceive urban heat. Welcome to contribute !

Välkommen till en enkät om upplevd värme  i staden!

Collaboration: Senseable Stockholm Lab  is a collaboration between KTH Royal Institute of Technology, MIT Massachusetts Institute of Technology, and the City of Stockholm with support from the Stockholm Chamber of Commerce and Newsec. The Stockholm Heat project also collaborates with BZZT who hosts the City Scanners. City of Stockholm reference group: contact Lukas Ljungqvist .

Project period: 2021-2024

Funding: Senseable Stockholm Lab

Project description

City Scanner measuring heat (Animation: Elina Merdymshaeva; Spatial data: City of Stockholm)
City Scanner on podtaxi measuring heat (Animation: Elina Merdymshaeva; Spatial data: City of Stockholm)

Heat events are associated with higher rates of cardiovascular disease, strokes, and death. Urban forests, parks and trees can alleviate the negative effects of heat events on public health. However, models tend to make many assumptions to cover large areas, or on case studies, which have severe spatial and temporal restrictions. We combine the deployment of low-cost sensors on vehicles - the City Scanner - with existing data on forest and other tree-cover habitats to measure ambient and ground temperature, and computer vision models to quantify greenery at the street level, in order to assess the hyperlocal benefits of urban greenery at a fine temporal and spatial granularity.

This is compared to the influence of the urban canyon and natural topography on microclimate as well as to the influence of tree-cover habitat patterns at the neighborhood and landscape scales. This knowledge will be important to counter the health impacts of heat events on several spatial scales relevant for urban planning.

City Scanner on the move. Photo: Simone Mora, MIT. Spatial data: eu.opencitiesplanner.bentley.com/stockholm/textureradmodell.