Urban Health and Wellbeing

Author:

Sabel Clive E.,Amegbor Prince M.,Zhang Zhaoxi,Chen Tzu-Hsin Karen,Poulsen Maria B.,Hertel Ole,Sigsgaard Torben,Horsdal Henriette T.,Pedersen Carsten B.,Khan Jibran

Abstract

AbstractThis chapter explores how the Internet of Things and the utilization of cutting-edge information technology are shaping global research and discourse on the health and wellbeing of urban populations. The chapter begins with a review of smart cities and health and then delves into the types of data available to researchers. The chapter then discusses innovative methods and techniques, such as machine learning, personalized sensing, and tracking, that researchers use to examine the health and wellbeing of urban populations. The applications of these data, methods, and techniques are then illustrated taking examples from BERTHA (Big Data Centre for Environment and Health) based at Aarhus University, Denmark. The chapter concludes with a discussion on issues of ethics, privacy, and confidentiality surrounding the use of sensitive and personalized data and tracking or sensing individuals across time and urban space.

Publisher

Springer Singapore

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Spatial modelling of psychosocial benefits of favourite places in Denmark: A tale of two cities;Environment and Planning B: Urban Analytics and City Science;2024-05-31

2. A machine learning-based assessment of subjective quality of life;Journal of Computational Social Science;2024-02-09

3. Looking to the Future;Planning, Environment, Cities;2022

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