Smart sustainable cities as social networks

Focus is on interactions of human-machine-computers or "cyber-physical-human systems", based on human decision making on an institutional, individual and neurological abstraction level related to smart, energy efficient cities. The main application area is that of human behavioral practices in smart buildings, where the focus is on lifestyle changes of connected individuals. The aim is to observe the long-term and dynamical effect of social influence on changes in tenants’ behavior, in terms of lifestyle decisions or actions related to resources, in particular energy consumption, but also mobility and food.

This application is strongly related to collecting data from KTH Testbeds, as well more fundamental study and understanding of how social influence among the tenants affects the behavior of building occupants. From these applied studies, conclusions can be drawn, and interventions can be planned, both in terms of domestic practices and performance of buildings.

Read more about the research on the research group's own page.