Study on a Social Media GIS to Accumulate Urban Disaster Information : Accumulation of Disaster Information during Normal Times for Disaster Reduction Measures
-
- OKUMA Takahiro
- Shinken. Co. Ltd.
-
- YAMAMOTO Kayoko
- University of Electro-Communications
Bibliographic Information
- Other Title
-
- 都市災害情報の蓄積を目的としたソーシャルメディアGISに関する研究 : 減災対策のための平常時の災害情報の蓄積
- トシ サイガイ ジョウホウ ノ チクセキ オ モクテキ ト シタ ソーシャル メディア GIS ニ カンスル ケンキュウ : ゲン サイ タイサク ノ タメ ノ ヘイジョウジ ノ サイガイ ジョウホウ ノ チクセキ
Search this article
Description
This study aims to design, develop, operate and evaluate a social media GIS (Geographical Information Systems) specially tailored to accumulate disaster information by mashing-up information that local governments and regional residents provide during normal times for disaster reduction in urban areas. The conclusions of this study are summarized in the following three points. (1) Social media GIS is an information system which integrates Web-GIS and social media such as SNS and Twitter into a single system, and it was conducted in Chofu city, Tokyo. The social media GIS used a design which displayed its usefulness in reducing the constraints of time, space and human resources, making it possible to redesign systems in accordance with target cases. (2) The social media GIS was operated for regional residents from high school students upwards for two months. In view of the nature of the social media GIS, about 72% of the users were in their 20s. Users submitted and inspected disaster information using both PCs and mobile phones. (3) The system was evaluated based on the results of a questionnaire survey to users, an access survey using log data during operation and an analysis of the submitted information. The questionnaire survey showed the usefulness of the system in terms of its operability and effects of use. The access survey showed that users in their 30s and 40s submitted information only from PCs, while those in their 20s submitted information from both PCs and mobile phones approximately to the same extent. Additionally, the submitted information was classified into five types, among which a large amount of information was provided about evacuation sites and routes.
Journal
-
- Socio-Informatics
-
Socio-Informatics 2 (2), 49-65, 2013
The Society of Socio-Informatics
- Tweet
Details 詳細情報について
-
- CRID
- 1390282680749730304
-
- NII Article ID
- 110009798504
-
- NII Book ID
- AA12586577
-
- ISSN
- 24322148
- 21872775
-
- NDL BIB ID
- 025244675
-
- Text Lang
- ja
-
- Data Source
-
- JaLC
- NDL Search
- CiNii Articles
-
- Abstract License Flag
- Disallowed