IOT IN CRISIS MANAGEMENT

Emergency management agencies are responsible for developing processes to maintain situational awareness in emergency operations centers (EOCs) to prepare for and respond to disasters. Implementing internet of things (IoT) technologies can revolutionize emergency management and response by providing real-time data, improving communication and coordination, and leading to more efficient and effective emergency responses. IoT can provide signals intelligence to inform situational awareness in EOCs, provided the organization prepares for and uses the technology intentionally and integrates systems from daily processes. Through case studies on smart and novel cities, this thesis evaluates the possibility of using emerging IoT technologies in a crisis to guide local emergency management agencies in predicting emerging threats and maintaining situational awareness and demonstrates how IoT systems used for daily processes can generate signals intelligence. This thesis asserts that cities can use IoT systems to set baseline data readings and machine learning to detect anomalies within the community. Looking ahead, Songdo, South Korea, and NEOM in Saudi Arabia provide examples of how new cities can build a smart foundation around technology while engaging with anticipated residents to meet their needs. This research concludes that as IoT technology evolves, emergency managers must adapt and utilize these advancements to enhance operations and protect communities.

Department dc:contributor.department

National Security Affairs (CHDS)

Grantor dc:publisher

Monterey, CA; Naval Postgraduate School

Year dc:date.issued

2023

Author dc:creator

• Chin, Thomas M.

Advisors dc:contributor.advisor

• Dahl, Erik J.
• McGuire, Mollie R.

Statement dc:rights

• This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.

Handle dc:identifier.uri

https://hdl.handle.net/10945/72135

OAI identifier oai:identifier

oai:calhoun.nps.edu:10945/72135