"Saigai Map" Releases "Disaster Risk Time-Series Tracker" for Addresses ── Visualizing 10 Years of Flood Records and Earthquake Counts on a Timeline

Mycat Inc. has launched the "Disaster Risk Time-Series Tracker" within its disaster risk visualization service "Saigai Map" (https://saigaimap.xyz). This new feature allows users to simply enter an address and view a timeline of disaster occurrences over the past 10 years. Tool URL: https://saigaimap.xyz/tools/risk-timeline

An Era Where Current Hazard Maps Alone Are Insufficient for Decision Making

According to flood statistics from the Ministry of Land, Infrastructure, Transport and Tourism (MLIT), the national average annual flood damage over the 10 years from 2014 to 2023 reached approximately 800 billion yen, and the number of heavy rainfall events exceeding 50mm per hour increased by about 1.5 times compared to the 1980s (Source: MLIT Flood Statistics, Japan Meteorological Agency AMeDAS data). Traditional hazard maps provide static information on "assumed maximum scale" disasters, but for those considering home purchases or insurance reviews, time-series information such as "how the risk in this location has changed over the past few years" was lacking as a decision-making factor. A Cabinet Office survey found that only about 63.5% of people have checked hazard maps, and even fewer understand "changes in risk" (Source: Cabinet Office Public Opinion Survey on Disaster Prevention 2022).

Mechanism of the Time-Series Tracker

The Disaster Risk Time-Series Tracker visualizes disaster-related data recorded around an entered address over the past 10 years as a yearly timeline.

Target Data:

• Flood records (based on MLIT Flood Hazard Area Maps and Flood Inundation Maps)
• Number of sediment-related disaster occurrences (MLIT Sediment-related Disaster Occurrence Data)
• Number of earthquakes with seismic intensity 1 or higher (Japan Meteorological Agency Seismic Intensity Database)
• Number of special heavy rain warnings and flood warnings issued (Japan Meteorological Agency Warning Issuance History)

Features of Timeline Display:
Yearly trends are displayed using a combination of bar and line graphs, making recent trends immediately apparent. Automatically alerts are shown for risk items trending upwards, allowing users to concisely understand changes such as "earthquake occurrences increasing compared to 5 years ago" or "flood records present in the last 3 years."

Application Scene 1: Location Judgment Before Home Purchase

Purchasing a home is one of the biggest purchases in life. While the presence of hazard maps is disclosed in important matter explanations for real estate transactions, past disaster history is not necessarily included. By using the Time-Series Tracker, you can check information not visible on a map alone, such as "though the hazard map indicates low risk, there have actually been flood records in the last 5 years." A home loan repayment period is typically 35 years. To judge risks over such a long period, it is crucial to understand not only current information but also whether the risk is trending upwards or remaining stable.

Application Scene 2: Reviewing Fire and Earthquake Insurance

According to the General Insurance Rating Organization of Japan, the revision of fire insurance rates for fiscal year 2024 is progressing towards an insurance premium system that reflects regional differences in flood risk (Source: General Insurance Rating Organization of Japan). If you live in an area where premiums are rising, seeing the actual risk trends underlying that increase numerically can make insurance review decisions easier. When considering "whether to strengthen insurance or maintain the current coverage," having concrete evidence of "whether flood risk has increased or decreased over the past 10 years" enables evidence-based decisions.

Application Scene 3: Local Government Disaster Prevention Planning

For local government disaster prevention officials, clearly communicating risk trends in their jurisdiction to residents is fundamental to disaster awareness. The Time-Series Tracker can easily confirm risk trends per address, making it useful for creating materials for disaster drills and resident briefings. Statistics from the Fire and Disaster Management Agency (FDMA) show that the activity coverage rate of autonomous disaster prevention organizations has reached 84.7% (Source: FDMA 2023 FY), but tools that quantitatively show "how the risk in one's own living area has changed" have been limited.

Regarding Data Handling

The data used in this tool is based on public data released by the Ministry of Land, Infrastructure, Transport and Tourism, the Japan Meteorological Agency, and the Fire and Disaster Management Agency. Entered address data is used only for risk calculation and is not saved on the server. Going forward, we will sequentially add features that continuously support disaster preparedness, such as cooperation with national evacuation shelter information and a year-on-year risk score comparison report function.

*This tool does not predict disaster occurrences. For judgments regarding evacuation and safety measures, please always refer to local government hazard maps and disaster information.

▼ Details of this matterhttps://saigaimap.xyz/tools/risk-timeline

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