17:15 〜 19:15
[HDS11-P01] Application of Geographic Information Systems in Disaster Prevention and Response—A Case Study on Optimal Route Planning for Engineering Vehicles
キーワード： Geographic Information Systems, Disaster Prevention and Response, Cost Distance Analysis, Optimal Cost Path
With the advancement and integration of Geographic Information Systems (GIS), Global Navigation Satellite Systems (GNSS), and Remote Sensing (RS) technologies, future disaster prevention and response efforts will focus on joint information-based disaster management, emphasizing a networked approach. As a result, the establishment of digital electronic maps has become a priority for many countries. All disaster prevention and response operations take place within a specific geographical environment, which plays a crucial role in the effectiveness of these actions. In future disaster-affected areas, rescue commanders will be able to leverage GIS and internet-based information to continuously monitor terrain and geographical features, rapidly assess the accessibility of disaster zones, determine the optimal rescue routes, and evaluate the risk levels of affected areas.
To achieve the goal of digitalizing disaster-affected areas, this study primarily aims to analyze terrain information within disaster zones and develop corresponding electronic maps in accordance with the Disaster Prevention and Protection Act and its implementation regulations, as stipulated by the National Fire Agency, Ministry of the Interior. Through processes such as data collection, integration, weighted overlay analysis, and cost distance analysis, the study identifies the optimal cost path for the mobility of engineering vehicles. Finally, case simulations are conducted to verify the effectiveness of utilizing disaster area information for disaster prevention and response decision-making.
To achieve the goal of digitalizing disaster-affected areas, this study primarily aims to analyze terrain information within disaster zones and develop corresponding electronic maps in accordance with the Disaster Prevention and Protection Act and its implementation regulations, as stipulated by the National Fire Agency, Ministry of the Interior. Through processes such as data collection, integration, weighted overlay analysis, and cost distance analysis, the study identifies the optimal cost path for the mobility of engineering vehicles. Finally, case simulations are conducted to verify the effectiveness of utilizing disaster area information for disaster prevention and response decision-making.