TY - CHAP
T1 - Blockchain for Disaster Management
AU - Hunt, Kyle
AU - Zhuang, Jun
N1 - Publisher Copyright:
© 2022, Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - Natural disasters, acts of terrorism, and man-made disasters have affected our planet in an unpredictable way. These events prove to cost nations around the world billions of dollars annually, and the destruction that they bring is merely impossible to forecast. Disaster victims may not receive timely help due to poor coordination among responding agencies, late disaster response, and inadequate distribution of resources such as food, water, medical supplies, and transportation. This chapter explores the application of blockchain in disaster management to address these issues, and in turn, reduce the loss of time, money, and human life. Disaster management is a unique form of operations management in which emergency service providers and humanitarian agencies provide resources (e.g., medical services, logistical services, food, shelter, etc.) to support the public before, during, and after disasters. As disaster management operations unfold, massive amounts of data are produced as a result of the service transactions and aid efforts that take place to help support and restore society. The adoption of a blockchain approach in disaster management can reduce corruption, facilitate and accelerate the formation of partnerships between disaster relief agencies, deliver verified and timely disaster communications, improve the allocation of vital resources, and enable secure access to the valuable data that is produced during response and recovery operations. We offer a comprehensive blockchain framework for disaster management which includes the following stakeholders in its design: governments, residents, telecommunication providers, shelter providers, food service providers, medical service providers and suppliers, transportation providers, and non-governmental relief organizations.
AB - Natural disasters, acts of terrorism, and man-made disasters have affected our planet in an unpredictable way. These events prove to cost nations around the world billions of dollars annually, and the destruction that they bring is merely impossible to forecast. Disaster victims may not receive timely help due to poor coordination among responding agencies, late disaster response, and inadequate distribution of resources such as food, water, medical supplies, and transportation. This chapter explores the application of blockchain in disaster management to address these issues, and in turn, reduce the loss of time, money, and human life. Disaster management is a unique form of operations management in which emergency service providers and humanitarian agencies provide resources (e.g., medical services, logistical services, food, shelter, etc.) to support the public before, during, and after disasters. As disaster management operations unfold, massive amounts of data are produced as a result of the service transactions and aid efforts that take place to help support and restore society. The adoption of a blockchain approach in disaster management can reduce corruption, facilitate and accelerate the formation of partnerships between disaster relief agencies, deliver verified and timely disaster communications, improve the allocation of vital resources, and enable secure access to the valuable data that is produced during response and recovery operations. We offer a comprehensive blockchain framework for disaster management which includes the following stakeholders in its design: governments, residents, telecommunication providers, shelter providers, food service providers, medical service providers and suppliers, transportation providers, and non-governmental relief organizations.
KW - Big data
KW - Blockchain technology
KW - Disaster recovery
KW - Disaster response
KW - Operations management
UR - https://www.scopus.com/pages/publications/85125813416
U2 - 10.1007/978-3-030-87304-2_10
DO - 10.1007/978-3-030-87304-2_10
M3 - Chapter
AN - SCOPUS:85125813416
T3 - Studies in Big Data
SP - 253
EP - 269
BT - Studies in Big Data
PB - Springer Science and Business Media Deutschland GmbH
ER -