Volume XLI-B8
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B8, 133-138, 2016
https://doi.org/10.5194/isprs-archives-XLI-B8-133-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B8, 133-138, 2016
https://doi.org/10.5194/isprs-archives-XLI-B8-133-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

  22 Jun 2016

22 Jun 2016

Evaluating the Human Damage of Tsunami at Each Time Frame in Aggregate Units Based on GPS data

Y. Ogawa1, Y. Akiyama2, H. Kanasugi3, R. Shibasaki2, and H. Kaneda4 Y. Ogawa et al.
  • 1Graduate School of Frontier Science, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo, Japan
  • 2Center for Spatial Information Science, The University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa city, Chiba, Japan
  • 3Earth Observation Integration & Fusion Research Institute, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo, Japan
  • 4ZENRIN DataCom Co.LTD , Shinagawa Intercity Tower C 6F, 2-15-3 Konan, Minato-ku, Tokyo

Keywords: GIS, The Nankai trough megathrust earthquake, Evacuation, Casualties, Population distribution

Abstract. Assessments of the human damage caused by the tsunami are required in order to consider disaster prevention at such a regional level. Hence, there is an increasing need for the assessments of human damage caused by earthquakes. However, damage assessments in japan currently usually rely on static population distribution data, such as statistical night time population data obtained from national census surveys. Therefore, human damage estimation that take into consideration time frames have not been assessed yet. With these backgrounds, the objectives of this study are: to develop a method for estimating the population distribution of the for each time frame, based on location positioning data observed with mass GPS loggers of mobile phones, to use a evacuation and casualties models for evaluating human damage due to the tsunami, and evaluate each time frame by using the data developed in the first objective, and 3) to discuss the factors which cause the differences in human damage for each time frame. By visualizing the results, we clarified the differences in damage depending on time frame, day and area. As this study enables us to assess damage for any time frame in and high resolution, it will be useful to consider provision for various situations when an earthquake may hit, such as during commuting hours or working hours and week day or holiday.