Planet Earth is a miracle, an anomaly in our universe that allows for the growth of diverse natural organisms and beautiful landscapes. However, this great beauty also entails natural risks that can be harmful to the survival of organisms that populate the surface and oceans. These disasters can come with little warning and completely disrupt the functioning of society. The need to plan for potential complex emergencies will continue to increase as long as natural hazards continue to occur alongside increasing human populations and intensifying seasonal weather conditions with climate change. The use of geographic information systems is rapidly becoming the most powerful processing tool for spatial information. and many other types of quantitative data about our world. It has demonstrated to professionals that it can help save time and lives by efficiently managing information about natural hazards and the human populations affected by them. However, it is up to humanity to respond to these disasters and be as prepared as possible. This report and analysis will seek to explore efficient route analysis for emergency vehicles and the public affected by flooding in a small geographic area. The background of integrating GIS into the decision support framework, current and evolving methods for managing data associated with emergency response, and current modeling of natural hazards and response efforts will also be explored through previous findings. The definition of disaster has historically been perceived as random acts of nature, symbolized by extremes in physical processes (Zerger, 2002). While this is a broad definition, it is a fact that natural disasters have caused incalculable damage to the economy...... middle of paper ......rnal of Urban Planning and Development 126 (2000): 136 -49. Print.Hao-wei, Yao, et al. “Application of GIS to Emergency Rescue.” Procedia Engineering 11 (2011): 185-88. Print.Nagata, Takashi, Yoshinari Kimura and Masami Ishii. “Using a Geographic Information System in the Medical Response to the Fukushima Nuclear Disaster in Japan.” Prehospital and Disaster Medicine 27.2 (2011): 213-15. Print.Papinski, Dominik and Darren M. Scott. “A GIS-based toolkit for route choice analysis.” Journal of Transportation Geography 19 (2011): 434-42. Print.Yan-xi, Zhou, et al. “A GIS-based object-relational disaster database prototype.” Procedia Earth and Planetary Sciences 1 (2009): 1060-66. Print.Zerger, Andre and David Ingle Smith. “Barriers to Using GIS for Real-Time Disaster Decision Support.” Computers, Environment and Urban Systems 27 (2003): 123-41. Press.