Abstract
In this paper, we propose an Open Data Visualization System for disaster prevention and disaster reduction at the time of natural disaster. We realized visualization of open data related to disaster prevention and reduction. Moreover, we realized visualization of real-time disaster prevention information handled by disaster control headquarters. We constructed this system as a Web application system. As a result, it became possible to provide the residents with application that do not depend on the terminal environment. In addition, we adopted responsive technology in the construction of this system.
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References
The National Strategy Office of Information and Communications Technology, Cabinet Secretariat, Let’s start open data -First Manual for Local Governments-. http://www.kantei.go.jp/jp/singi/it2/densi/kettei/opendate_tebikisyo.pdf. Accessed April 2017
Hirohara, Y., Ishida, T.: Proposal of a cloud disaster information sharing system for disaster headquarters. In: Proceedings of the Visualization Society of Japan Visualization Conference (Hitachi 2016), vol. 36(2), p. B106 (2016)
Ishida, T., Hirohara, Y., Kukimoto, N., Shibata, Y.: Proposal of a decision support system for the local government’s disaster control headquarters. In: Proceedings of the 22nd International Symposium on Artificial Life and Robotics, pp. 649–652 (2017)
Acknowledgments
The authors would like to thank Ibaraki-town, Hitachi-city, Takahagi-city, Mito-city, Tokai-village, Hitachiota-city, Hitachiomiya-city, Oarai-town, Kasama-city, Shirosato-town, Ibaraki Prefecture.
This work was supported by JSPS KAKENHI Grant Number JP15H02693.
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Koike, K., Iyobe, M., Ishida, T., Uchida, N., Sugita, K., Shibata, Y. (2018). Proposal of an Open Data Visualization System for Disaster Prevention and Disaster Reduction. In: Xhafa, F., Caballé, S., Barolli, L. (eds) Advances on P2P, Parallel, Grid, Cloud and Internet Computing. 3PGCIC 2017. Lecture Notes on Data Engineering and Communications Technologies, vol 13. Springer, Cham. https://doi.org/10.1007/978-3-319-69835-9_48
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DOI: https://doi.org/10.1007/978-3-319-69835-9_48
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