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JDR Vol.14 No.3 pp. 521-530
(2019)
doi: 10.20965/jdr.2019.p0521

Paper:

Analysis of Evacuation Trajectory Data Using Tensor Decomposition

Yusuke Kawai, Yoshiharu Ishikawa, and Kento Sugiura

Graduate School of Informatics, Nagoya University
Furo-cho, Chikusa-ward, Nagoya 464-8601, Japan

Corresponding author

Received:
November 7, 2018
Accepted:
March 2, 2019
Published:
March 28, 2019
Keywords:
evacuation simulation, trajectory data, tensor decomposition
Abstract

Owing to the advances in information technology and heightened awareness regarding disaster response, many evacuation simulations have been performed by researchers in recent years. It is necessary to develop suitable disaster prevention plans or evacuation plans using data generated by such simulations. However, it is difficult to understand the simulation results in their original form because of the detailed and voluminous data generated. In this study, we focus on tensor decomposition, which is employed for analyzing multi-dimensional data, in order to analyze the evacuation simulation data, which often consists of multiple dimensions such as time and space. Tensor decomposition is applied to the movement trajectory data generated in the evacuation simulation with the objective of acquiring important disaster or evacuation patterns.

Cite this article as:
Y. Kawai, Y. Ishikawa, and K. Sugiura, “Analysis of Evacuation Trajectory Data Using Tensor Decomposition,” J. Disaster Res., Vol.14, No.3, pp. 521-530, 2019.
Data files:
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Last updated on Jul. 19, 2019