At the time of a disaster, Ministry of Land, Infrastructure, Transport and Tourism (MLIT) inspects the facilities under its jurisdiction and promptly collects infrastructure damage information. It may be difficult to grasp the damage information depending on when the disaster occurred; the time, size, and distribution of the damage; the weather; and so forth. Even in such a case, it is necessary to grasp the damage situation based on the limited available information, establish a system for the initial response, and proceed with the disaster response. National Institute for Land and Infrastructure Management (NILIM) has developed the technology to collect infrastructure damage information with the necessary promptness, coverage, and reliability, using every kind of technology available and providing the necessary information for decision making. This study conducted a survey of officials who had been engaged in earthquake response following the 2016 Kumamoto Earthquakes, among others. The necessary technology has been developed to collect, integrate, and share disaster damage information according to the situation by considering that the information needs in disaster response changes from moment to moment, and such technology has been successively implemented on site. This paper describes the results of and the knowledge gained from this technological development and notes the study’s findings on the information needs and the efforts that need to be made in the future.

1. [1] Cabinet Office, “A Master Plan for Disaster Damage Prevention,” 2018. 6.29 settled by the Central Disaste Prevention Council, 2018 (in Japanese).
2. [2] S. Kataoka, “Development of a collection, integration, and sharing technology for infrastructure damage information,” Proc. of the Annual Meeting of Japan Association for Earthquake Engineering, 2017 (in Japanese).
3. [3] T. Kusakabe, H. Sugita, Y. Ohtani, M. Kaneko, and T. Hamada, “SATURN-Seismic Assessment Tool for Urgent Response and Notification,” Technical Note of National Institute for Land and Infrastructure Management, No.71, 2003, http://www.nilim.go.jp/lab/bcg/siryou/tnn/tnn0071.htm (in Japanese) [accessed February 13, 2019]
4. [4] K. Nagaya, S. Kataoka, T. Kusakabe, and K. Matsumoto, “A research on immediate damage estimation technology to improve crisis managemante for mega-earthquakes,” J. of Japan Society of Civil Engineers, Ser.A1 (structure·seismic engineering), Vol.72, No.4 (A collection of academic papers of JAEE Vol.35), pp. I_966-I_974, 2016 (in Japanese).
5. [5] K. Nagaya, K. Matsumoto, N. Nojima, S. Sasaki, and A.Baba, “The construction of algorithm which integrate and analyse damage information on the assumption an earthquake disaster,” The 71st JSCE Annual Meeting Proc., pp. 659-660, 2016 (in Japanese).
6. [6] N. Nojima, “Development of a Decision Support Simulator for Emergency Response Based on Sequential Damage Estimation,” Institute of Social Safety Science, No.9, 2007 (in Japanese).
7. [7] S. Unjoh and H. Kobayashi, “Development of Simplified Seismic Damage Assessment Method of Road Briges Based on Past Damage Experiences,” Civil Engineering J., Vol.47, No.12, pp. 48-53, 2005 (in Japanese).
8. [8] M. Ohsumi, T. Nanazawa, S. Tanimoto, and M. Nakata, “Development of a Seismic-Performance Assessment Method and Retrofitting Technology Against the Liquefaction of Existing Bridges,” J. Disaster Res., Vol.14, No.2, 2019.
9. [9] National Research Institute for Earth Science and Disaster Resilience website, “Strong-motion Seismograph Networks (K-NET, KiK-net),” http://www.kyoshin.bosai.go.jp/kyoshin/ [accessed February 13, 2019]
10. [10] Ministry of Land, Infrastructure, Transport and Tourism website, “Integrated Disaster Information Mapping System (DiMAPS),” http://www.mlit.go.jp/saigai/dimaps/index.html (in Japanese) [accessed February 13, 2019]
11. [11] M. Kunitomo, K. Matsushita, Y. Suzuki, and M. Sakagami, “Emergency Observation with SAR during Development of Disaster Mission Planning Support System,” Annual Report of NILIM, 2016, http://www.nilim.go.jp/english/annual/annual2016/pdf_file/31.pdf [accessed February 13, 2019]
12. [12] Y. Suzuki, T. Noro, J. Kamiyama, M. Sakagami, and M. Kunitomo, “Proposal for Emergency Inspection of Sediment Disaster Risk Locations by Helicopter,” Civil Engineering J., Vol.59, No.1, pp. 36-39, 2017 (in Japanese).
13. [13] Y. Nomura, “Detecting slope failure by using synthetic aperture radar of artificial satelite,” KASEN (River), No.863, Vol.74, No.6, pp. 30-32, 2018 (in Japanese).
14. [14] M. Brown and D. Lowe, “Automatic Panoramic Image Stitching using Invariant Features,” Int. J. of Computer Vision, Vol.74, No.1, pp. 59-73, 2007.
15. [15] Ministry of Land, Infrastructure, Transport and Tourism, “CCTVcamera facilities proposal instruction of equipment for use,” http://www.mlit.go.jp/tec/it/denki/kikisiyou/touitusiyou_01cctvH2901.pdf (in Japanese) [accessed July 30, 2018]
16. [16] A. Konno, Y. Maeda, T. Teraguchi, H. Sekiya, and W. Kobayashi, “Validation of the optimal pan time to render panoramic images using the function of devices equipped with CCTV camera,” J. of Japan Society of Civil Engineers Division F3: Civil Engineering Informatics, Japan Society of Civil Engineers, Vol.73, No.2, pp. I_279-I_288, 2017 (in Japanese).
17. [17] A. Konno, H. Sekiya, and H. Ashiya, “Proposal of a method to render panoramic images even at night using the function of devices equipped with CCTV cameras,” Proc. of the 43rd Symp. on Civil Engineering Informatics, Japan Society of Civil Engineers, No.43, pp. 117-120, 2018 (in Japanese).
18. [18] K. Morita, H. Sekiya, and A. Konno, “Acquisition of data concerning deformation measurement using CCTV camera image and 3D model and point cloud data,” Proc. of the Symp. on Civil Engineering Informatics, Japan Society of Civil Engineers, Vol.41, No.57, pp. 209-212, 2016 (in Japanese).
19. [19] K. Morita, A. Konno, H. Sekiya, and Y. Maeda, “Water level measurement accuracy by manual superposition of image data to 3D data,” Proc. of the Symp. on Civil Engineering Informatics, Japan Society of Civil Engineers, Vol.42, No.54, pp. 185-188, 2017 (in Japanese).
20. [20] K. Morita, A. Konno, H. Sekiya, and H. Ashiya, “Theory and analysis of the precision of superimposing a CCTV image on the point group data and measuring the object in the image,” Proc. of the 43rd Symp. on Civil Engineering Informatics, Japan Society of Civil Engineers, No.43, pp. 121-124, 2018 (in Japanese).
21. [21] M. Shiraishi and S. Kataoka, “Assessment of Disaster Information Technologies towards Further Development and Implementation Based on Analysis of the 2016 Kumamoto Earthquakes Disaster Response,” Civil Engineering J., Vol.60, No.4, pp. 24-29, 2018 (in Japanese).
22. [22] National Institute of Information and Communications Yechnology website, “Dissaster information system (DISAANA),” https://disaana.jp/rtime/search4pc.jsp [accessed February 13, 2019]
23. [23] M. Shiraishi and S. Kataoka, “Evaluation of the utility of UAV with infrared camera for grasping structure damage based on a field shooting survey,” The 15th Earthquake Engineering Symp. Proc., pp. 991-999, 2014 (in Japanese).
24. [24] M. Saruwatari, Y. Maeda, and S. Kataoka, “Possibility of grasping road damage using optical fiber line monitoring,” Proc. of the 8th Symp. on Disaster Mitigation and Resilience of Infrastructures and Lifeline Systems, pp. 71-76, 2018 (in Japanese).
25. [25] S. Kataoka and M. Shiraishi, “Evaluation of road trafficability judgement using the ETC 2.0 probe data during the 2016 Kumamoto Earthquakes,” Proc. of the 8th Symp. on Disaster Mitigation and Resilience of Infrastructures and Lifeline Systems, pp. 83-88, 2018 (in Japanese).