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    Smart City Data in Urban Wellbeing Estimation

    Perez Oteiza, Tzirath and Kelly, Liadh and Mooney, Peter (2022) Smart City Data in Urban Wellbeing Estimation. 2022 IEEE International Smart Cities Conference (ISC2). ISSN 2687-8860

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    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.

    Item Type: Article
    Keywords: Cities, smart cities, urban wellbeing, data management.
    Academic Unit: Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Item ID: 16766
    Depositing User: Tzirath Perez Oteiza
    Date Deposited: 07 Dec 2022 10:46
    Journal or Publication Title: 2022 IEEE International Smart Cities Conference (ISC2)
    Publisher: IEEE
    Refereed: Yes
    Funders: Science Foundation Ireland
      Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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