Abstract
In recent years, various types of disasters have oc-curred frequently in Japan. Such incidents require a rapid response. It is necessary to grasp the full extent of the disaster at an early stage. Research and development of effective methods to achieve this are in progress. Although each method has its own charac-teristics, from a business perspective it is necessary to know when and which method should be used to ob-tain the full extent of the damage. As of yet, there is no comparison among methods to answer this question. Therefore, the purpose of this study is to position the time-cost per unit area as one of the evaluation crite-ria to understand or estimate damage. To achieve this objective, the procedure of each method is clarified, the area to be analyzed by each method is identified, and the time-cost of each procedure is estimated. The time-cost per unit area is calculated by dividing the time-cost by the area of interest. Particularly, the time required for the preparation of each method, which is independent on the area, is positioned as the initial time-cost that is also derived and added. Based on the above, a linear function with the area of damage as a variable is determined. Simulations are performed to derive the estimated time-cost. Depending on the as-sumed area of damage, results are obtained when each method is applied.
Original language | English |
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Pages (from-to) | 733-746 |
Number of pages | 14 |
Journal | Journal of Disaster Research |
Volume | 16 |
Issue number | 4 |
DOIs | |
State | Published - 2021 |
Keywords
- Artificial intelligence
- Early damage detection
- Satellite image
- Time-cost simu-lation
- Unmanned aerial vehicle
ASJC Scopus subject areas
- Safety, Risk, Reliability and Quality
- Engineering (miscellaneous)