The coordination and administration of resources and duties related to the mitigation of, preparedness for, response to, and recovery from an emergency is referred to as emergency planning management. This entails collecting, managing, and analyzing big data in order to incorporate a data-driven strategy into each phase of the emergency management cycle.
An emergency management plan’s ultimate purpose is to create a data-driven framework that assists communities in recognizing and reducing vulnerabilities, dealing with disaster aftermath, and further developing disaster response plans.
In disaster management, big data refers to the real-time analysis of information acquired from a catastrophe-affected community in order to increase the efficiency and efficacy of emergency response teams.
Disaster management data collection and emergency management software enable innovative emergency management endeavors such as crisis mapping, social media mining, and event simulations, which use massive amounts of real-time and historical data to assist emergency management directors and their teams in developing proactive, protective strategies.
Disaster management data analysis of statistics from prior catastrophes improves emergency preparedness, which is possible with the use of big data analytics systems that may offer fast insights.
An emergency and disaster management strategy must be comprehensive, progressive, risk-driven, integrated, collaborative, coordinated, flexible, and professional, according to emergency management principles.
Mitigation, Preparedness, Response, and Recovery are the four phases of disaster management:
Mitigation is a set of long-term activities and methods aimed at reducing and preventing disaster risk by recognizing potential hazards and their impact on communities and public safety.
When mitigation efforts fail, actions such as developing an Emergency Operations Plan (EOP) that addresses identified risks and reduces the impact of disasters, recruiting and training emergency management coordinators and personnel, identifying emergency management resources, and naming emergency facilities are taken.
Incident management service providers focus on reducing life-threatening situations, delivering life-sustaining aid, and preventing future infrastructure damage in the early aftermath of an emergency. — Using geodata and real-time disaster management data analytics platforms speeds up the modeling process by allowing for immediate visualization of data and model scenarios, resulting in improved emergency response programs.
Recovery: After a disaster, the recovery phase of the disaster management cycle examines the damage and helps with the rebuilding process, as well as educating people and establishing improved disaster preventive methods.
All physical, institutional, social, or economic resources, as well as leaders, managers, and experienced individuals in a community, society, or organization, that can lessen the risks or consequences of a disaster, are included in the capacity for emergency management and response staff. Physical, social, economic, and psychological capacities for emergency management can all be classified as follows:
Physical resources include equipment, channels of communication, existing infrastructure and water sources, irrigation, engineers, and construction workers.
Social — refers to interpersonal and intrapersonal connections in the community, as well as people’s ability and willingness to respond to natural catastrophes, such as volunteer organizations.
Economic — includes a community’s income, savings, production, business activities, and employment availability.
Attitudinal — refers to a community’s ability to accept collectivism and work together despite differences for the common good of the entire group.