Oteiza, Tzirath Perez and Kelly, Liadh and Mooney, Peter (2021) Using contextual cues in understanding urban mental well-being. International Archives of the Photogrammetry, Remote Sensing and Spatial Sciences Informattion. pp. 85-89. ISSN 1682-1750

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Abstract

It is well established that city life can impact on individuals’ mental well-being. Factors associated with modes of transport in a city, such as cycle corridors and the reliability of bus network, and environment factors, such as availability of green spaces, have been shown to relate to individuals’ well-being in the city. Smart cities contain a wealth of digital data which has been used in the management and organisation of cities. Such data is gathered from sensors, networks and systems which contain rich insights on factors associated with city life. Such as, for example, the availability of open spaces in the city, traffic congestion, and air quality levels. We propose that these smart city data sources and data flows can act as contextual cues to indicate the mental well-being of individuals in the city. That is, we propose harnessing indicators and patterns in datasets known to be associated with well-being, and using these as contextual cues for automated city well-being level estimation. In this initial investigation, we focus on contextual cues associated with active travel and transportation, environmental information and green infrastructure. We propose an AI-based system which uses these contextual cues to generate an indicator of mental well-being in the city.

Item Type:	Article
Keywords:	Smart cities; open data; mental well-being; contextual cues; Internet of Things; IoT;
Academic Unit:	Assisting Living & Learning,ALL institute Faculty of Science and Engineering > Computer Science Faculty of Science and Engineering > Research Institutes > Hamilton Institute Faculty of Science and Engineering > Research Institutes > Human Health Institute
Item ID:	15467
Identification Number:	https://doi.org/10.5194/isprs-archives-XLVI-4-W1-2021-85-2021
Depositing User:	Liadh Kelly
Date Deposited:	09 Feb 2022 12:33
Journal or Publication Title:	International Archives of the Photogrammetry, Remote Sensing and Spatial Sciences Informattion
Publisher:	Copernicus Publications
Refereed:	Yes
URI:	Publisher
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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