Effectiveness of a Disaster Prevention Mapping System Using Road Networks and Hazardous Elements

Kaname Takenouchi*, Shigekazu Sakai

*この研究の対応する著者

研究成果: Conference contribution

抄録

We develop a system that enables small groups and individuals in local communities to create disaster prevention maps with the aim of raising awareness of disaster prevention. The developed system enables persons with limited disaster prevention knowledge to complete disaster prevention maps that simulate evacuation routes for times of disaster by following three steps: collecting disaster risk factors using devices with interactive functioning, understanding relations between road network conditions and hazardous elements on a map, and analyzing relations between color indicators indicating road networks and disaster risk factors on a map to simulate risk avoidance during a disaster. To demonstrate the system’s usefulness, we compare it with existing WebGIS-based disaster prevention mapping systems and obtain the following results. The first is reduced time and effort required to record disaster prevention information. Specifically, we simplify procedures for recording disaster prevention information by using a prototype GPS logger device that can record disaster prevention information at three evaluation levels. Second, roads with high disaster risk are intuitively indicated on the map. Specifically, we use space syntax theory to calculate integration values for roads and display that value on the map as a color index along with disaster prevention information to show the road’s risk status. As a result, simulations of evacuation routes in a disaster can easily be performed. Third, we confirm that user experiences with this system are effective for recognizing disaster risk. Comparison with existing systems in field verifications show that use of the developed system effectively raises users’ awareness of disaster prevention. The above points indicate that the proposed system is an effective method for improving disaster prevention measures.

本文言語English
ホスト出版物のタイトルHCI International 2022 Posters - 24th International Conference on Human-Computer Interaction, HCII 2022, Proceedings
編集者Constantine Stephanidis, Margherita Antona, Stavroula Ntoa
出版社Springer Science and Business Media Deutschland GmbH
ページ138-145
ページ数8
ISBN(印刷版)9783031064166
DOI
出版ステータスPublished - 2022
イベント24th International Conference on Human-Computer Interaction, HCII 2022 - Virtual, Online
継続期間: 2022 6月 262022 7月 1

出版物シリーズ

名前Communications in Computer and Information Science
1580 CCIS
ISSN(印刷版)1865-0929
ISSN(電子版)1865-0937

Conference

Conference24th International Conference on Human-Computer Interaction, HCII 2022
CityVirtual, Online
Period22/6/2622/7/1

ASJC Scopus subject areas

  • コンピュータサイエンス一般
  • 数学一般

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