Information: Join today and make your research activities more affordable! Technical workshop participation fees and annual registration fees are available at member rates.
Notice: [Important] Announcement of Changes to Registration Fee Payment and Manuscript Upload Procedures for IEICE Technical Meetings
IEICE Technical Committee Submission System
Conference Paper's Information		 Online Proceedings
[Sign in]
Tech. Rep. Archives
 Go Top Page Go Previous   [Japanese] / [English] 

Paper Abstract and Keywords
Presentation 2026-03-06 10:45
A Method for Constructing a Geographic Similarity Information Database Using Terrain Classification for Automated Disaster Drill Scenario Generation
Ryoma Tachibana (Nihon Univ.), Masahiro Ooi (NIED), Kazuhiro Kikuma (Nihon Univ.) IN2025-91
Abstract (in Japanese) (See Japanese page) 
(in English) We aim to dramatically enhance information value by coordinating, aggregating, and accumulating diverse information available on the Internet—such as sensor data, behavioral histories, location information, and SNS data—and then extracting and distributing useful insights from it. As part of this effort, this research focuses on the automatic generation of disaster training scenarios used in local government tabletop exercises. Existing automatic disaster scenario generation methods use databases from specific regions rich in disaster information to generate training scenarios for other regions, leading to issues such as mismatched disaster characteristics and a lack of regional specificity. Therefore, this research proposes a method to appropriately repurpose disaster information from other regions based on geographic similarity, thereby supplementing disaster databases for regions lacking sufficient disaster data. Specifically, we enhance data by supplementing disaster information from other regions based on geographic similarity. Using this database, we employ generative AI to automatically generate detailed disaster training scenarios. Furthermore, we utilize the generated scenarios in actual tabletop exercises and verify the effectiveness of this method through expert evaluation. In the future, we aim to develop this further toward the automatic generation of more practical training scenarios, including evacuation routes and support actions.
Keyword (in Japanese) (See Japanese page) 
(in English) Disaster Scenario / attribute information / BERT / NER model / / / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 386, IN2025-91, pp. 174-179, March 2026.
Paper # IN2025-91 
Date of Issue 2026-02-25 (IN) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF IN2025-91

Conference Information
Committee IN NS  
Conference Date 2026-03-04 - 2026-03-06 
Place (in Japanese) (See Japanese page) 
Place (in English) Okinawa-Ken Shichoson Jichi Kaikan 
Topics (in Japanese) (See Japanese page) 
Topics (in English) General 
Paper Information
Registration To IN 
Conference Code 2026-03-IN-NS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Method for Constructing a Geographic Similarity Information Database Using Terrain Classification for Automated Disaster Drill Scenario Generation 
Sub Title (in English)  
Keyword(1) Disaster Scenario  
Keyword(2) attribute information  
Keyword(3) BERT  
Keyword(4) NER model  
Keyword(5)  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Ryoma Tachibana  
1st Author's Affiliation Nihon University (Nihon Univ.)
2nd Author's Name Masahiro Ooi  
2nd Author's Affiliation National Research Institute for Earth Science and Disaster Resilience (NIED)
3rd Author's Name Kazuhiro Kikuma  
3rd Author's Affiliation Nihon University (Nihon Univ.)
4th Author's Name  
4th Author's Affiliation ()
5th Author's Name  
5th Author's Affiliation ()
6th Author's Name  
6th Author's Affiliation ()
7th Author's Name  
7th Author's Affiliation ()
8th Author's Name  
8th Author's Affiliation ()
9th Author's Name  
9th Author's Affiliation ()
10th Author's Name  
10th Author's Affiliation ()
11th Author's Name  
11th Author's Affiliation ()
12th Author's Name  
12th Author's Affiliation ()
13th Author's Name  
13th Author's Affiliation ()
14th Author's Name  
14th Author's Affiliation ()
15th Author's Name  
15th Author's Affiliation ()
16th Author's Name  
16th Author's Affiliation ()
17th Author's Name  
17th Author's Affiliation ()
18th Author's Name  
18th Author's Affiliation ()
19th Author's Name  
19th Author's Affiliation ()
20th Author's Name  
20th Author's Affiliation ()
21st Author's Name  
21st Author's Affiliation ()
22nd Author's Name  
22nd Author's Affiliation ()
23rd Author's Name  
23rd Author's Affiliation ()
24th Author's Name  
24th Author's Affiliation ()
25th Author's Name  
25th Author's Affiliation ()
26th Author's Name / /
26th Author's Affiliation ()
()
27th Author's Name / /
27th Author's Affiliation ()
()
28th Author's Name / /
28th Author's Affiliation ()
()
29th Author's Name / /
29th Author's Affiliation ()
()
30th Author's Name / /
30th Author's Affiliation ()
()
31st Author's Name / /
31st Author's Affiliation ()
()
32nd Author's Name / /
32nd Author's Affiliation ()
()
33rd Author's Name / /
33rd Author's Affiliation ()
()
34th Author's Name / /
34th Author's Affiliation ()
()
35th Author's Name / /
35th Author's Affiliation ()
()
36th Author's Name / /
36th Author's Affiliation ()
()
Speaker Author-1 
Date Time 2026-03-06 10:45:00 
Presentation Time 25 minutes 
Registration for IN 
Paper # IN2025-91 
Volume (vol) vol.125 
Number (no) no.386 
Page pp.174-179 
#Pages 6 
Date of Issue 2026-02-25 (IN) 

[Return to Top Page]

[Return to IEICE Web Page]
The Institute of Electronics, Information and Communication Engineers (IEICE), Japan