TY - JOUR
T1 - Enhancing the resilience of low-income housing using emerging digital technologies
AU - Obonyo, E. A.
AU - Ouma, L. A.
N1 - Funding Information:
This research is supported by the National Science Foundation (Award Number 2019754) through the Belmont Forum Collaborative Research Action project: Advancing the Resilience of Low-Income Housing through Climate Science and Data Analytics.
Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
PY - 2022
Y1 - 2022
N2 - The research discussed is part of a Belmont Forum disaster risk reduction project aimed at enhancing the resilience of low-income housing. This paper examines feasibility and viability of using emerging digital technologies to enhance the resilience of low-income housing based on requirements of resource constrained, low-lying coastal areas in East Africa. The authors focus on the need to facilitate data and knowledge sharing across domains to: 1) reduce or avoid the potential property loss from flooding events through mapping the interdependencies and interconnectedness across natural and human systems; 2) coordinate the provision of temporary shelter for displaced victims, and 3) building (back) better during the recovery phase. The deployment of Artificial Intelligence, Internet of Things, BIM, Digital twin, VR/AR in disaster risk management is still an emerging area of research. In general, cutting-edge digital technologies are deployed as standalone solutions to address existing data and knowledge sharing needs that are unique to a sub-group of stakeholders. A more holistic and comprehensive solution will require an integrative framework that supports the seamless flow of information across the stakeholders.
AB - The research discussed is part of a Belmont Forum disaster risk reduction project aimed at enhancing the resilience of low-income housing. This paper examines feasibility and viability of using emerging digital technologies to enhance the resilience of low-income housing based on requirements of resource constrained, low-lying coastal areas in East Africa. The authors focus on the need to facilitate data and knowledge sharing across domains to: 1) reduce or avoid the potential property loss from flooding events through mapping the interdependencies and interconnectedness across natural and human systems; 2) coordinate the provision of temporary shelter for displaced victims, and 3) building (back) better during the recovery phase. The deployment of Artificial Intelligence, Internet of Things, BIM, Digital twin, VR/AR in disaster risk management is still an emerging area of research. In general, cutting-edge digital technologies are deployed as standalone solutions to address existing data and knowledge sharing needs that are unique to a sub-group of stakeholders. A more holistic and comprehensive solution will require an integrative framework that supports the seamless flow of information across the stakeholders.
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U2 - 10.1088/1755-1315/1101/9/092013
DO - 10.1088/1755-1315/1101/9/092013
M3 - Conference article
AN - SCOPUS:85144108428
SN - 1755-1307
VL - 1101
JO - IOP Conference Series: Earth and Environmental Science
JF - IOP Conference Series: Earth and Environmental Science
IS - 9
M1 - 092013
T2 - International Council for Research and Innovation in Building and Construction World Building Congress 2022, WBC 2022
Y2 - 27 June 2022 through 30 June 2022
ER -