Explanatory material of NIED Disaster Information Sharing System

NIEDBOSAI-DRIP
NationalResearchInstituteforEarthScienceandDisasterPrevention,DisasterRiskInformationProject
Disaster information map/
Disaster information sharing system
(1) Current status of disaster information map for Japan
(2) Cloud-based system for public-private collaboration regarding
crisis management
(3) Cross-ministerial SIP (Strategic Innovation Promotion Program)
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Tadashi Ise
Principal Research Fellow, Disaster Risk Unit,
National Research Institute for Earth Science and
Disaster Prevention (NIED), Japan
Cloud for crisis management Search

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(1) Current status of disaster information map for
Japan

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Use of map information
 In normal times
Hazard map: A map that indicates areas which may suffer from flooding,
volcanoes, and earthquake and tsunami after-effects to help disaster-
prevention groups and residents in preparing for disaster measures.

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 Time of disaster (e.g., the Great East Japan Earthquake in 2011)
Used for checking status of damage and for emergency measures
Handwritten notes were often used as first-aid measures.
Sharing of information on
printed maps, as accessing Excel
data was difficult.
A map with many sticky notes
could not be used as a reference
chart, as some notes could be
missing.
Copying paper maps and gluing
them together to make a wide
map was troublesome.

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 Restoration/Reconstruction (e.g., as used after the Great East Japan
Earthquake)
The maps were individually managed for various applications such as rubble
removal and city recovery plans.
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Superimposition of aerial photos of
damaged areas, provided by
private groups and the Geospatial
Information Authority of Japan (GSI)
Use of “trafficable roads” information, released by a car navigation
system company

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●House map (ZENRIN)
●Aerial photo (NTT
GEOSPACE CORPORATION)
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eCommunity Platform Map was established so that maps of the research institutes, academic conferences, and private groups regarding
disasters could be used based on API (Application Programming Interface), of the standard geographical spatial information.
eCommunity Platform Map supported the damaged areas via a system that was able to be utilized on-site.
●Map (before earthquake, NTT
GEOSPACE CORPORATION）
●Aerial photo of damaged area
(GSI)
●Seismicity map (NIED)
●Flood damage area map (The
Association of Japanese
Geographers)
●Traffic info (Miyagi prefecture,
Honda, Toyota)
●VC map(NIED) ●Shelter map
Establishment, sharing, and use of environmental and geographic spatial information after
the Great East Japan Earthquake
 eCommunity Platform Map (Open source Web-GIS developed by NIED)

NIEDBOSAI-DRIP
NationalResearchInstituteforEarthScienceandDisasterPrevention,DisasterRiskInformationProject Specific problems with local government disaster response
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 Particularly regarding dissemination of disaster information
Information segment Actual case
[Collection/Estimation]
Scale of estimated external force
(e.g., tsunami, rainfall, water level,
eruption)
• In the case of the Great East Japan Earthquake, the estimated
tsunami height was not correctly reported.
• Unprecedented scale of external forces, such as unexpectedly strong
rain, occurred in many places.
 Accurate damage prediction allows rapid response.
[Collection/Current status]
Damage situation inside and outside
autonomous region
• In the case of the above earthquake, cutcherys were damaged in
many cities and towns, but no one was accurately reporting the
damage.
• “Trafficable map” and other information provided from external
sources did not arrive at the damaged areas.
[Provision/Other organization]
Report of disaster response and
damage information, including
information on evacuation
instructions and preparation of
shelters
• They were busy corresponding with residents and had almost no
time to report to supervisory agencies.
 Various systems were born on a patchwork basis.
 Too many systems required too much time to operate.
 Telephones were more convenient.
[Provision/Residents]
Public information for residents,
including information on evacuation
instructions and preparation of
shelters
• Important information related to evacuation instructions was
managed improperly; as a result, release of public information was
delayed.
• Rules for decision-making were not well-prepared.
 There was no singularly effective way to deliver information.

NIEDBOSAI-DRIP
NationalResearchInstituteforEarthScienceandDisasterPrevention,DisasterRiskInformationProject Solutions to these problems
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 Improvement in the direction of disaster information flow
Target information segment and general problem Necessary direction of the solutions
[Collection/Estimation]
Scale of external force (e.g., tsunami, rainfall, water level,
eruption) is unpredictable; therefore, evacuation is not properly
executed.
• More advanced and faster estimation
calculation
[Collection/Current status]
Since fragmentary information is not well-organized, damages
are not accurately assessed.
Information about neighboring autonomous communities is not
available, and cooperation with external organizations stops.
• System for secondary use of received
information
• System for sharing information
[Provision/Other organization]
Although reporting to supervisory agencies is necessary,
information is not sufficiently provided due to other obligations
for corresponding with various organizations and residents.
• System for sharing information
[Provision/Resident]
Information about current status of external forces and damages
are not properly managed, and the rules for decision-making are
not well-prepared. Urgent and smooth release of public
information is impossible.
• System for comprehensive management
and smooth release of information

NIEDBOSAI-DRIP
(2) Cloud-based system for public-private
collaboration regarding crisis management
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NationalResearchInstituteforEarthScienceandDisasterPrevention,DisasterRiskInformationProject Outline of cloud-based system for public-private
collaboration regarding crisis management
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 System name: Cloud-based system for public-private collaboration regarding
crisis management
 Project name:
Comprehensive promotion of social system reformation and R&D “Program for
Crisis Management System Renovation in Regional Communities (Response
to Natural Disasters)”
－Publicly offered and chosen by the Ministry of Education, Culture, Sports,
Science and Technology
 Purpose
» To support decision-making of local governments in a time of disaster,
and to develop an information system that supports effective and
collaborative disaster responses by official and unofficial organizations
 Operation period
FY 2011 through FY 2013 (three years)

NIEDBOSAI-DRIP
NationalResearchInstituteforEarthScienceandDisasterPrevention,DisasterRiskInformationProject Development concept
(1) Effective and collaborative disaster responses by official and unofficial organizations,
based on distributed interoperation
・Sharing of geographical information based on API and international standards
Interoperation among related organizations Collaboratively operational with other
systems (advanced utilization of information)
・Various and rapid one-stop information delivery via Public Information Commons, social
networks (e.g., Facebook, Twitter), and local government websites
(2) Robust disaster response system via cloud computing
・Highly redundant cloud-computing environment
Information-sharing platform; operational even in a time of a large-scale disaster
(3) Standardization of disaster response based on job analysis
・Tabs and menus guide; “what to do” in each phase of disaster responses
Even inexperienced staff can operate without a manual
・System flexibly allows integration of regional features.
・Preparation of necessary data During a disaster, a user can change the properties to better
use the system quickly and properly.
(4) Available as open source
・Private-sector resources improve the system without “vendor lock-in.” 11

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NationalResearchInstituteforEarthScienceandDisasterPrevention,DisasterRiskInformationProject Support of standard disaster responses
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Past operations during earthquakes and tsunamis (Great East Japan Earthquake), flood and
landslide (Nigata Flood Disaster), and volcano eruption (Shinmoedake eruption) were
analyzed. According to the results, disaster responses were standardized along each phase
with two-layer tabs and menu buttons.

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NationalResearchInstituteforEarthScienceandDisasterPrevention,DisasterRiskInformationProject Import of external map via clearing house
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The cloud-based system for public-private collaboration regarding crisis management utilizes a
data sharing system called a “clearing house,” and API and has a function to import information
about neighboring autonomous communities and map information (aerial photos, trafficable
road maps, etc.) provided by various organizations directly after the disaster.
Target autonomous
community
within the system
Neighboring
autonomous
communities
Neighboring
autonomous
communities
[Data sharing system via clearing house and API]
This screen indicates the condition of shelters.
The local government of the area surrounded by the red line concentrates on inputting information about its own shelters and
sharing it among its sections.
With this system, information about neighboring autonomous communities is automatically and seamlessly shared in real time.

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System design applicable to actual condition of each
autonomous community
 Presetting recommended disaster response work
 Flexible settings according to actual condition of each autonomous
community
»The tab configuration and menu can be changed according to each user.
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Disaster type Tab configuration
Earthquake/
Tsunami
Since they occur suddenly, the top-priority response is
“evacuation instructions” followed by “collection of damage
information,” and “lifesaving” of people left behind in tsunami
refuge buildings, etc.
Flood/Landslide Since their occurrence is more predictable, the first response is
“monitoring and observation” of rain and river water gauges.
According to the situation, “settlement of a headquarters
location,” official announcement of orders, and “preparation of
shelters” follow.
Volcano In addition to responses for “flood/landslide,” unique responses
like “restriction of entry to mountains” are necessary.

NIEDBOSAI-DRIP
NationalResearchInstituteforEarthScienceandDisasterPrevention,DisasterRiskInformationProject Basic function list(Example: Earthquake/Tsunami disaster)
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Basic function Outline
Evacuation instructions ・With Japan Meteorological Agency XML information as a trigger, evacuation
instructions can be automatically issued.
・In conjunction with evacuation instructions, already-registered documents can
be distributed via Public Information Commons, Facebook, and Twitter.
Collection and reporting of
damage information
・Main damage information is indicated on a map, and the damage of major
facilities can be estimated.
・The data can be totalized on the Fire Defense Agency’s form No. 4 (immediate
report about fire and disaster).
Lifesaving ・Isolated emergency shelters can be extracted by space searching.
・A rescue request message is created and sent vie email or indicated with a pop-
up alert.
Settlement of headquarters
location
・To call staff, emails are distributed according to the system of reporting centers
and headquarters for major disaster countermeasures.
・Information about the damage to disaster-prevention facilities, such as a
government office, is collected.
Shelter ・Availability of shelters, the number of evacuees, and commodities (including
foods and drugs) are managed.
Road traffic
control/Elimination of road
obstacles
・Main road zones on which research may be necessary are extracted by space
searching.
・Elimination of road obstacles and road traffic controls are managed.

NIEDBOSAI-DRIP
NationalResearchInstituteforEarthScienceandDisasterPrevention,DisasterRiskInformationProject Cloud-based system for public-private collaboration
regarding crisis management: Operation example
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City A
HQ for major
disaster
countermeasures
National government,
prefectural
governments,
neighboring local
governments,
supporting local
governments, lifeline
operators, etc.
City A
Response
teams
City A
Shelter
Crisis management
cloud system
Cloud-based environment
Response check,
decision making
City A
Citizen
PR
Integration of
information
Input of damage
report and
response condition
Public
Information
Commons
Private business,
NPO, Disaster
Volunteer Center
Emergency
report mail
Disaster prevention
info (local
government, etc.)
River info
(land, Infrastructure
and Transportation
Ministry)
JMA disaster
prevention info.
XML formatMap API
Clearing house
Metadata
Evacuation instructions
Preparation and operation of
shelters
Lifesaving
Traffic control and restoration of
roads, etc.
Mass media
Sharing and
reporting of
information
Support
request
Open source (free license)

NIEDBOSAI-DRIP
NationalResearchInstituteforEarthScienceandDisasterPrevention,DisasterRiskInformationProject History: FY 2011 through FY 2013
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FY 2013FY 2012
Demonstration test (from Nov. 2013)
Trial version
Manuals
(scheduled in March 2014)
・System setting manual
・User manual
Kamaishi City
(Earthquake/
Tsunami part)
Fujisawa City
(Earthquake/
Tsunami part)
Sanjo City
(Flood/
Landslide part)
Kobayashi
City
(Volcano part)
Development of
additional function
Recommended
setting
(scheduled in March
2014)
Consideration and
design of basic screen
image
Basic package
(scheduled in March 2014)
System
development
Prototype development
FY 2011
Analysis of disaster control works
Demonstration
test
Fujisawa City
(Earthquake/
Tsunami part)
Kobayashi
City
(Volcano part)
Interview
Kamaishi City
(Earthquake/Tsunami
part)
Fujisawa City
(Earthquake/Tsunami
part)
Sanjo
City/Mitsuke
City
(Flood/Landslide part)
Kobayashi City
(Volcano part)

NIEDBOSAI-DRIP
NationalResearchInstituteforEarthScienceandDisasterPrevention,DisasterRiskInformationProject Outline of demonstration test
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■ Purpose
To evaluate effectiveness of disaster control procedures based on the system,
and to improve the procedures and system functions
Disaster type
Local
government
Test date Test overview
Earthquake/
Tsunami
Kamaishi City
(Iwate Pref.)
Dec.3, 2013
Assuming the occurrence of an earthquake/tsunami with a
similar scale to that of the Great East Japan Earthquake, actual
responsible staff experienced operations such as data input,
which each disaster control team should do.
Earthquake/
Tsunami
Fujisawa City
(Kanagawa
Pref.)
Jan. 17, 2014;
Mar. 13, 2014
Assuming a similar occurrence to the Tokai earthquake/tsunami,
we organized responses and created a scenario, then introduced
how to share the information with the system.
Flood/
Landslide
Sanjo City
(Nigata Pref.)
Nov. 22, 2013
With the flood on July 29, 2011, as a model case, the city staff
processed the emergency response works they should do at the
time of flood by utilizing the system.
Volcano
Kobayashi City
(Miyazaki Pref.)
Jan. 29, 2014
We invited people from neighboring cities (Takaharu Town and
Miyakonojo City) and Miyazaki Prefecture, and showed them
how the response condition of each town and city could be
checked seamlessly via the clearing house from the
neighboring local governments and prefectures. The staff
individually experienced data input operation.
 Local government for which we conducted the test

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Kamaishi City, December 3, 2013Demonstration test

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NationalResearchInstituteforEarthScienceandDisasterPrevention,DisasterRiskInformationProject General comment of Mr. Kunisada, Mayor of
Sanjo City
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 (Although such a system tends to be self-righteousness,
only satisfying developers), the overall concept and good
operationality of this particular system, with the tabs and
layered menu, are so user-friendly.
 I think we, Sanjo City, can use the system to support
decision-making at the time of disaster.
 In order to improve standardization and distribution of data,
I think it is important to generalize a standardized system in
the regional disaster prevention field.
 Sanjo City is pleased to provide any assistance.

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Demonstration test participants of Sanjo City
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 The prefecture’s current disaster prevention system is available but somewhat
inconvenient. If we can view information from various cities and towns
collectively, we can save labor. To see satellite images on the prefecture’s system,
we have to ask JAXA. Like this system, we want to get information from
various sources without troublesome procedures. (Crisis measures department,
Nigata Prefecture)
 We get information from volunteer fire corps. It is helpful if we can register
that information in a central place.
We need to share information from volunteer fire corps. (Fire department of
Sanjo City)
 Sanjo City has a benchmark (based on the water level of Shinano River) by which to
begin headquarters procedures for major disaster. Now they can check the water level
via the Internet, and make a table manually. They need a system that
automatically detects a trigger. (From the discussion with Sanjo City participants)
Benchmark for emergency deployment of Sanjo City (Based on river water level: When one of the
three rivers indicates any of the water levels below, the relevant deployment starts.)
Target river
Primary
deployment
Secondary
deployment
Tertiary
deployment
Ikarashi River (Watarasebashi) 11.3 m 12.0 m 13.5 m
Kariyata River (Ozeki) 16.0 m 17.0 m 18.5 m
Shinano River (Ozaki) 8.5 m 9.0 m 10.0 m

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General comments from the Deputy Mayor and
Crisis Manager of Kamaishi City
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[Mr. Wakasaki, Deputy Mayor]
 The basic idea of this system, such as the screen
configuration, is excellent. Please improve the system
continuously.
 The system functions are good. We can output the collected
information in the CSV format, and input data with a tablet.
[Mr. Yamazaki, Crisis Manager of Kamaishi City]
 Availability even during normal conditions is important. This
system is scalable to the daily work applications. That is a
good point.
 One-stop announcement to the citizens is also a good point.

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Demonstration test participants of Kamaishi City
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 We hope the system can work with the 119 system of the Fire
Department. (Kamaishi City Fire Department)
 With this system, we can import various data, operate secondary
use of the data bi-directionally, and also check information from
the city, so its potential as a tool is significant. We hope smooth
communication of information with headquarters for major
disaster countermeasures. (Coast Wide Area Promotion Bureau of
Iwate prefecture)
 We can collect information, but cannot share it. That is a
problem. We should not wait for delivery of information. If the
system allows us to search information when no information is
delivered, it is helpful. (Mr. Nakagawa, Project Operation Chief)

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General comment of Mr. Higo, Mayor of
Kobayashi City
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 Totally, this system is very excellent.
 It is widely usable, not only for volcano disasters, but also
for the following applications:
 Countermeasures for foot-and-mouth disease
 Advertising of Geopark (during normal conditions)
 Activity of voluntary organizations for disaster
prevention
 I will promote this system to share information among the
cities and towns around Kirishima.

NIEDBOSAI-DRIP
Demonstration test participants of Kobayashi City
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 We asked each city and town to make a report in case a disaster
occurs, even when they are very busy coping with the disaster.
Some reports are sent to not only the crisis management bureau,
but also to the other sections, such as Prefectural Land
Development Section. We know this procedure is a problem,
and we hope this system is deployed in the prefecture.
Currently, we are also developing our system to cope with
wind and flood damage. We hope that system can work with
the cloud system. (Miyazaki Prefecture)
 This system is effective. It is very good that we can check
the situation of neighboring Miyakonojo City. Sharing of
information collected in the control room is also good.
(Kobayashi City Fire Department)

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Questionnaire about demonstration test
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[Question]
Do you think that this system allows rapid response between
related organizations?
(Yes / Somewhat, yes / Neither / No)
City No. of
respondents
Yes or Somewhat, yes Rate
Sanjo City 11 7 64%
Kamaishi
City
18 14 78%
Kobayashi
City
20 19 95%
Total 49 40 82%
<<Effective point>>
Total information management, collaboration with external
organizations, utilization of map information, etc.

NIEDBOSAI-DRIP
NationalResearchInstituteforEarthScienceandDisasterPrevention,DisasterRiskInformationProject Open resources
 Program source code
» License: GPL (GNU General Public License Version 2)
• The program can be commercially used.
• This license does not ask everyone to distribute or open the program.
► When an assignor asks an assignee to open the source code of the program
delivered to the assignor, the source codes must be opened.
 Guideline for system introduction
» The guideline introduces actions and discussion items, which local government staff
should read and understand prior to using the system.
» It shows target disaster response works, procedures for system preparation, installation,
system setup, and operation, followed by reference manuals and samples.
 SaaS preparation specification sample
 Manuals
» Installation manual
• Manual of installation procedures (software installation, data registration, and settings)
» Setup manual
• Manual of settings that match unique operations and name of each local government
• Settings sheet for presets recommended by the project, which describes the menu configuration and
others by disaster type (Earthquake/Tsunami version, Flood/Landslide version, and Volcano version)
» User manual
• System operation manual for general users
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Note: NIED provides the system without charge.

NIEDBOSAI-DRIP
 Demonstration site
» A site that demonstrates the system presets for each disaster type
(Earthquake/Tsunami version, Flood/Landslide version, and Volcano
version) is prepared.
• A person who registered in advance is given an ID and password for the site,
and can visit the site via the Internet.
» The following disaster response works can be experienced (though some
are restricted):
• Evacuation instructions
• Lifesaving
• Preparation and operation of shelter
• Road traffic control, elimination of road obstacles, and road reconstruction
• Setup of headquarters
• Collection of damage information
 Release date
» End of March 2014
» Site address (http://ecom-plat.jp/k-cloud/)
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Demonstration site and release date

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Assumed system introduction procedure for local government
Preparation of
specification
sheet
• Preparation of system procurement specification sheet
SaaS procurement specification sample
Procurement
• Procedure for procurement by bidding, etc.
• Start of contract
Initial setting
• Setting content based on recommended presets for
installation
• Installation of system and implementation of settings
Installation manual, Setup manual
Start of system
operation
• Implementation of temporary operation, training, etc.
• Start of full-scale operation
User manual

NIEDBOSAI-DRIP
(3) Cross-ministerial SIP (Strategic
Innovation Promotion Program)
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NIEDBOSAI-DRIP
NationalResearchInstituteforEarthScienceandDisasterPrevention,DisasterRiskInformationProject Outline of SIP (Cross-ministerial Strategic Innovation Promotion
Program)
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What is SIP?
“Creation of scientific and technological innovation”
(extracted from the Cabinet Office, Government of Japan website)
 The Council for Science, Technology and Innovation
developed a cross-ministerial and cross-cutting program
called Cross-ministerial SIP for creation of scientific and
technological innovation.
 This program leads to effective outcomes and promotes
scientific and technological innovation strategically and
powerfully, based on industrial, academic, and government
cooperation.
http://sip-cao.jp/

NIEDBOSAI-DRIP
NationalResearchInstituteforEarthScienceandDisasterPrevention,DisasterRiskInformationProject Total picture of Cross-ministerial SIP
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Task Annual
budget
1 Innovative burning technology 2 billion yen
2 Power electronics for next
generation
2.2 billion
yen
3 Innovative structural material 3.6 billion
yen
4 Energy carrier 3.3 billion
yen
5 Marine resource research
technology for next generation
6.2 billion
yen
6 Automatic driving system 2.5 billion
yen
7 Technology for maintenance, update,
and management of infrastructure
3.6 billion
yen
8 Improvement of resilient disaster
prevention and disaster reduction
functions
2.6 billion
yen
9 Agricultural and marine products
creation technology for next
generation
3.6 billion
yen
10 Innovative design and production
technology
2.6 billion
yen
In preparation for large earthquakes/tsunamis,
severe rainstorms, tornadoes, and other natural
disasters, the government and people
collaboratively establish the system to share
disaster information in real time, and improve
performance of prevention and response.
[Forecast]
(1) R&D of tsunami prediction technology
(2) R&D of prediction technology for severe
rainstorms and tornadoes
[Prevention]
(3) R&D of liquefaction prevention technology
based on large-scale demonstration test results
[Response]
(4) R&D of information sharing system with
ICT, and utilization technology of disaster
response organizations
(5) R&D of disaster information collection
system and real-time damage estimation
system
(6) R&D of disaster information distribution
technology
(7) R&D of regional disaster response
application technology based on collaboration
with local regions

NIEDBOSAI-DRIP
NationalResearchInstituteforEarthScienceandDisasterPrevention,DisasterRiskInformationProject Social background and R&D purpose
 Background
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It is very important to rapidly assess damage and use this damage information for
establishment of initial action systems and disaster responses in case a disaster occurs.
Out of regret that the emergency measures were delayed in the Great Hanshin-Awaji
Earthquake of 1995 and that damage across wide areas was not accurately assessed during
the Great East Japan Earthquake of 2011, some suggested that it is important to figure out
the overall damage condition quickly and comprehensively, while at the same time
integrating information at each phase of preparation, emergency measures, and restoration
and reconstruction in order to make decisions as soon as possible.
Although various damage estimation systems have been prepared by the national
government, local authorities, and companies, it has been suggested that they have not
been sufficiently accurate and also, total and comprehensive understanding of the damage
is difficult to obtain with those.
We operate R&D of a real-time damage estimation and condition check system that
allows estimation of the total damage, understanding of the damage condition, and also
checking of the damage by towns and streets, and by individual buildings based on
detailed estimations, even when a wide-area disaster like an earthquake occurs. This
information must be quick and accurate. We operate R&D to improve this information
based on observation and analysis technologies.
 Problem
 Research purpose

NIEDBOSAI-DRIP
NationalResearchInstituteforEarthScienceandDisasterPrevention,DisasterRiskInformationProject Development of utilization system for disaster response support
 In order to utilize real-time damage estimation information in disaster-affected areas, we
developed a system that allows the national government and local authorities to mutually share
information and unify recognition of the damage situations, and that helps their decision-making
in disaster responses.
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R&D of the damage estimation information
utilization system based on information sharing
among various organizations
R&D of the method to support
decision-making based on damage
estimation information
The district
XX needs
emergency
measures!
SIP (4) information sharing
system
Information sharing = Unified
recognition of situations
Extraction of problems, function
check, and effect measurement
with demonstration test
Deliver 30%
of the total
goods to XX
district!
Cooperative
organizations
・Understanding
of needs
・Demonstration
test
・Function check
etc.
SystemMethod
Experiment
Check effectiveness through
demonstration test
人的被害推定
地震
被害全体を概観しながら、
高精度な推定も行う
地震被害：地震動及び建物の周期特性を考慮
津波・豪雨
津波/豪雨浸水被害
建物被害推定
各府省庁や関係機関等で集約される被害状況に関する
情報を取り入れ、推定情報の確定化、被害状況の把握
推定
推定の
確定化
状況把握
リアルタイム被害推定被害状況把握
全国を対象
モデル地域
を対象
Real-time damage estimation and
situation recognition system
• Response of local
government
• Information about
damage (confirmed by
local government)
• Real-time damage estimation
information
• Sharing of information from national
government
• Information about damage (confirmed
by national government), etc.
Information owned by local
government (information about
people in need of aids, etc.)
+ Damage estimation
information
Support decision-making for
initial response
Decision-making
support
• Real-time damage estimation
information
• Various confirmed information
about damages
Connectable to various
hardware

NIEDBOSAI-DRIP
NationalResearchInstituteforEarthScienceandDisasterPrevention,DisasterRiskInformationProject Demonstration test for improvement of mission-critical system
 We conducted three demonstration tests (in which 13 local governments joined), and extracted
problems of the mission-critical system.
36
● Kobayashi City, Miyazaki Prefecture (Earthquake) January 27, 2015
Test policy: We gave a role-playing type emergency drill for the occurrence of an
earthquake. We only explained operations of the system for two hours and gave no
detailed settings, such as a system application range, so that the community workers
could “check the operation casually.”
Result: We could extract problems based on the actual disaster response, such as
information display at the time of earthquake.
● Nagareyama City, Chiba Prefecture (Earthquake) February 12, 2015
Test policy: Since all community workers were using the system for the first time, we
explained how to operate it along the flow of disaster response, and they tried
inputting data.
Result: We found a problem with the system operation environment.
We began to conduct quantitative arrangement concerning the agreeable operation
environment.
● Nine cities and one town in Nishi-Mikawa District, Aichi Prefecture (Flood)
February 20, 2015
Test policy: We invited 10 local governments, including nine cities and one town,
from Nishi-Mikawa District, Aichi Prefecture, and MLIT (33 IDs), and let them input
data within the system and experience mutual information sharing according to the
scenario.
Result: We confirmed an agreeable system operation environment. Each local
government suggested many points to be improved upon concerning the system and
information display, based on their experiences with the disaster responses. We will
interview these nine cities and one town within this year.
SIP (7): Collaboration
with Nagoya University

NIEDBOSAI-DRIP
Promotion of R&D (Extraction of problems, function check,
and effect measurement with demonstration test)
 We identified problems and evaluated effects of the system in
demonstration tests, and accordingly judged the effectiveness of
the overall R&D items such as information sharing and unified
situation recognition between the national government and local
organizations, utilization of information about estimated and
actual damage conditions, and system coordination.
37
■Total SIP test: FY 2018 (fifth year)
・Testing total SIP
■Test of total real-time estimation: FY 2017 (fourth year)
・Testing as “real-time damage estimation/situation
recognition technologies and system development”
■Test of individual functions: FY 2015–2016
(second–third years)
・Import of real-time damage estimation data
・Reflection of confirmed damage information
・Support function for decision-making, etc.
Testing each module
■Base research: FY 2014 (first year)
・Check of current disaster prevention systems across
the country
・Decision-making items to be supported, requested by
local governments
Understanding of needs and basic design
Design
Individualfunctions
Totalreal-timeestimation
TotalSIP
<<Demonstration test in FY 2014>>
■Iwate (August 30, 2014)
Assuming the eruption of Mt. Iwate,
we conducted an information
cooperation training on the total
emergency drill of Iwate Pref. in
three surrounding cities/towns.
*Out of the SIP target
■Kobayashi City, Miyazaki
(January 27, 2015)
We conducted a role-playing type
training, assuming the occurrence of
an earthquake.
■Nagareyama City, Chiba (February
12, 2015)
We conducted a system operation
presentation meeting, assuming the
occurrence of an earthquake.
■Nine cities and one town in Nishi-
Mikawa, Aichi (February 20, 2015)
The 10 local governments including
Aichi Pref. shared the map
information.
Demonstration test in Nishi-
Mikawa (February 20, 2015)

Explanatory material of NIED Disaster Information Sharing System

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Explanatory material of NIED Disaster Information Sharing System