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Issue No.04 - July-Aug. (2013 vol.28)
pp: 35-42
Xuan Song , University of Tokyo
Quanshi Zhang , University of Tokyo
Yoshihide Sekimoto , University of Tokyo
Teerayut Horanont , University of Tokyo
Satoshi Ueyama , University of Tokyo
Ryosuke Shibasaki , University of Tokyo
ABSTRACT
By mining "big GPS records" of 1.6 million users, an intelligent system automatically discovers, analyzes, and simulates population evacuations during the Great East Japan Earthquake and the Fukushima Daiichi nuclear accident.
INDEX TERMS
Disasters, Emergency services, Human factors, Behavioral science, Accidents, Global Positioning System, Nuclear power generation,emergency management, disaster informatics, Iintelligent reasoning system, data mining, human mobility
CITATION
Xuan Song, Quanshi Zhang, Yoshihide Sekimoto, Teerayut Horanont, Satoshi Ueyama, Ryosuke Shibasaki, "Intelligent System for Human Behavior Analysis and Reasoning Following Large-Scale Disasters", IEEE Intelligent Systems, vol.28, no. 4, pp. 35-42, July-Aug. 2013, doi:10.1109/MIS.2013.35
REFERENCES
1. O. Norio et al., “The 2011 Eastern Japan Great Earthquake Disaster: Overview and Comments,” Int'l J. Disaster Risk Science, vol. 2, no. 1, 2011, pp. 34-42.
2. Japanese National Police Agency, Damage Situation and Police Countermeasures Associated with 2011 Tohoku District-off the Pacific Ocean Earthquake, 2013; www.npa.go.jp/archive/keibi/bikihigaijokyo_e.pdf .
3. M. Holt, R.J. Campbell, and M.B. Nikitin, Fukushima Nuclear Disaster, Congressional Research Service Reports, 2012.
4. L. Wei, Y. Zheng, and W. Peng, “Constructing Popular Routes from Uncertain Trajectories,” Proc. ACM Special Interest Group Knowledge Discovery and Data Mining, ACM, 2012, pp. 195-203.
5. B.D. Ziebart et al., “Maximum Entropy Inverse Reinforcement Learning,” Proc. AAAI, AAAI, 2008, pp. 1433-1438.
6. X. Song et al., “Modeling and Probabilistic Reasoning of Population Evacuation during Large-Scale Disaster,” Proc. ACM SIGKDD Int'l Conf. Knowledge Discovery and Data Mining, ACM, 2013 pp. 1231-1239.
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