USE CASEMunicipality

Accelerating Disaster Information Management and Evacuation Support with AI

When an earthquake, typhoon, heavy rainfall, or another disaster occurs, local governments receive large volumes of information from different agencies and communities.

Weather conditions, river levels, road closures, evacuation shelter availability, and reports from residents must be reviewed quickly and translated into appropriate action.

AI and cloud technologies can consolidate and organize distributed disaster information, supporting situational assessment by government employees and timely communication with residents.

01Challenge

Large Volumes of Information Must Be Organized Quickly During Emergencies

During a disaster, information may arrive through multiple systems, government agencies, telephone calls, emails, social media, and other channels.

Because the format and frequency of updates vary, employees must spend considerable time reviewing information and resolving duplicated or conflicting reports.

Delays in confirming information may affect the opening of evacuation shelters, road restrictions, emergency supply arrangements, and public safety communications.

02Solution

Centralize Disaster Information and Organize It by Priority

AI can collect weather data, sensor readings, road information, and reports from residents, then classify them according to location, time, content, and urgency.

By connecting multiple reports related to the same location, the system can identify areas with concentrated damage and highlight events that require immediate confirmation.

For example, the following workflow can be established:

  1. 1Disaster Information Collection
  2. 2AI-Based Classification and Duplicate Removal
  3. 3Map-Based Visualization
  4. 4Urgency Assessment Support
  5. 5Staff Review
  6. 6Evacuation Information and Response Instructions

Important information sent to residents must be reviewed and approved by authorized employees before publication.

03Use Cases

Potential Applications

  • Centralizing weather, river, and road information
  • Classifying disaster reports submitted by residents
  • Organizing duplicated reports and information
  • Visualizing damage and incidents on a map
  • Managing evacuation shelter availability and congestion
  • Identifying areas requiring priority attention
  • Supporting the creation of evacuation notices and safety alerts
  • Sharing information with relevant departments and agencies

04Expected Benefits

Faster Disaster Response Based on Accurate Situational Awareness

Providing a unified view of distributed disaster information reduces the time employees spend collecting and transferring data, allowing them to focus on assessment and response.

Sharing current information and response histories can also improve coordination between departments and external agencies.

Robo Lab uses AI, cloud, and data-integration technologies to support faster and more accurate disaster-management operations for local governments.

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