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

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.

Spatial Autoregressive Model for Estimation of Visitors’ Dynamic Agglomeration Patterns Near Event Location

“…Many studies have been conducted concerning the characteristics of certain kinds of big data, for instance focusing on population estimation in disaster situations [ 30 , 31 , 32 ], or OD estimation [ 33 ]. Hayano et al [ 30 ] analyzed aggregated population data during the Fukushima Nuclear Power Plant accident resulting from the 2011 Tōhoku earthquake and tsunami.…”