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GIScience Policy Analysis
Introduction
Geographic Information Science and Technology (GIScience) has emerged as an important tool in emergency management with the potential to revolutionize how responses are coordinated in crises. This analysis assesses the proposal to integrate GIScience as a core component of the US Emergency Management System. With its capacity for real-time data analysis, spatial mapping, and predictive modeling, GIScience offers unparalleled advantages in planning, executing, and evaluating emergency response efforts (Li et al., 2020). With the power of GIScience, emergency management can transition from reactive to proactive measures, enabling a more efficient allocation of resources and a faster response to emerging threats (Huang et al., 2021). This paper presents the benefits of embedding GIScience into emergency management practices, and gives a comprehensive evaluation of its potential to improve the effectiveness of the United States' response to disasters and emergencies.
Background
The current state of emergency management in the United States is characterized by collaboration between federal, state, and local agencies working together to manage the impacts of disasters (Fagel et al., 2021). Although there have been advancements in technology and coordination, challenges remain in achieving optimal efficiency and effectiveness in emergency responses (Margherita et al., 2021). The integration of GIScience into this system presents an innovative approach to overcoming these challenges (AbdelAziz et al., 2024). The policy proposal in question advocates for making GIScience a central pillar of the US Emergency Management System, emphasizing its potential to significantly enhance operational capabilities. Through GIScience, emergency management can benefit from improved situational awareness, enhanced decision-making processes, and more effective resource allocation (Khan et al., 2023). This proposal is to elevate the technological framework of emergency responses and establish a more adaptive and responsive system capable of addressing...
GIScience also supports real-time data analysis, allowing for the monitoring of emergency situations as...
Addressing privacy and data accuracy concerns should involve developing stringent data governance policies and collaborating with privacy experts to ensure compliance with regulations. Additionally, the adoption of open standards and interoperability protocols will facilitate the integration of GIScience with existing systems, reducing implementation costs.
Ongoing evaluation and adaptation are vital; as technology evolves, so too should the emergency management practices that rely on it. Establishing feedback mechanisms to continually assess the effectiveness of GIScience in emergency management will ensure that the system remains responsive to changing needs and challenges.
Conclusion
This analysis indicates the significant potential of GIScience to improve the US Emergency Management System. Despite the challenges and costs associated with its implementation, the benefits of improved decision-making, resource allocation, and situational awareness are undeniable. In adopting strategic recommendations and focusing on overcoming identified challenges, GIScience can become a core part of advancing the effectiveness and efficiency…
References
AbdelAziz, N. M., Eldrandaly, K. A., Al-Saeed, S., Gamal, A., & Abdel-Basset, M. (2024).
Application of GIS and IoT Technology based MCDM for Disaster Risk Management: Methods and Case Study. Decision Making: Applications in Management and Engineering, 7(1), 1-36.
Fagel, M. J., Mathews, R. C., & Murphy, J. H. (Eds.). (2021). Principles of emergencymanagement and emergency operations centers (EOC). CRC press.
Huang, D., Wang, S., & Liu, Z. (2021). A systematic review of prediction methods foremergency management. International Journal of Disaster Risk Reduction, 62, 102412.
Khan, S. M., Shafi, I., Butt, W. H., Diez, I. D. L. T., Flores, M. A. L., Galán, J. C., & Ashraf, I.
(2023). A systematic review of disaster management systems: approaches, challenges, and future directions. Land, 12(8), 1514.
Li, W., Batty, M., & Goodchild, M. F. (2020). Real-time GIS for smart cities. InternationalJournal of Geographical Information Science, 34(2), 311-324.
Margherita, A., Elia, G., & Klein, M. (2021). Managing the COVID-19 emergency: Acoordination framework to enhance response practices and actions. Technological Forecasting and Social Change, 166, 120656.
Sun, Z. (2023). Actionable Science for Wildfire. In Actionable Science of Global EnvironmentChange: From Big Data to Practical Research (pp. 149-183). Cham: Springer International Publishing.
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