Smart City Data in Urban Wellbeing Estimation

Abstract

Mental wellbeing is a global health concern. Within the urban context, it is well understood that factors associated with urban living can impact individuals' wellbeing. For example, the relationship between wellbeing and environmental factors, such as air quality, has been shown. We postulate that such factors can be automatically derived from data sources available in smart cities and used, as contextual cues to form automatic indicators of the wellbeing levels of individuals within a city. In this paper we provide a realistic vision for this new approach to mental wellbeing estimation for an urban population, focusing on contextual cues associated with environmental information and green infrastructure. Outcomes from initial investigations are discussed and a roadmap for the future is presented.