Publikation: Bidrag til bog/antologi/rapport/proceeding › Bidrag til bog/antologi › Forskning › peer review
Urban Health and Wellbeing. / Sabel, Clive E.; Amegbor, Prince M.; Zhang, Zhaoxi et al.
Urban Informatics. Singapore : Springer, 2021. s. 259-280 (Urban Book Series).Publikation: Bidrag til bog/antologi/rapport/proceeding › Bidrag til bog/antologi › Forskning › peer review
}
TY - CHAP
T1 - Urban Health and Wellbeing
AU - Sabel, Clive E.
AU - Amegbor, Prince M.
AU - Zhang, Zhaoxi
AU - Chen, Tzu Hsin Karen
AU - Poulsen, Maria B.
AU - Hertel, Ole
AU - Sigsgaard, Torben
AU - Horsdal, Henriette T.
AU - Pedersen, Carsten B.
AU - Khan, Jibran
N1 - Publisher Copyright: © 2021, The Author(s). Copyright: Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2021
Y1 - 2021
N2 - This 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.
AB - This 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.
UR - http://www.scopus.com/inward/record.url?scp=85103961391&partnerID=8YFLogxK
U2 - 10.1007/978-981-15-8983-6_17
DO - 10.1007/978-981-15-8983-6_17
M3 - Book chapter
AN - SCOPUS:85103961391
SN - 978-981-15-8982-9
T3 - Urban Book Series
SP - 259
EP - 280
BT - Urban Informatics
PB - Springer
CY - Singapore
ER -