The Rise of IoT and Big Data Analytics for Disaster Management Systems

Abstract

Uninvited disasters wreak havoc on society, both economically and psychologically. These losses can be minimized if events can be anticipated ahead of time. The majority of large cities in developing countries with increasing populations are highly vulnerable disaster areas around the world. This is due to a lack of situational information in their authorities in the event of a crisis, which is due to a scarcity of resources. Both natural and human-induced disasters need to be pre-planned and reactive to minimize the risk of causalities and environmental/infrastructural disruption. Disaster recovery systems must also effectively obtain relevant information. The developments in big data and the internet of things (IoT) have made a greater contribution to accuracy and timely decision-making in the disaster management system (DMS). The chapter explains why IoT and big data are needed to cope with disasters, as well as how these technologies work to solve the problem.