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Developing a Model for Estimating the Home Return of Evacuees Based on the 2011 Tohoku Earthquake Tsunami—Utilizing Mobile Phone GPS Big Data

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Advances and New Trends in Environmental Informatics

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Abstract

When considering evacuation center plans for earthquake disasters, it is necessary to know how many people will evacuate in each stage after the disaster over the long term. In this paper, by using mobile phone GPS data and tsunami survey data for the 2011 Tohoku Earthquake Tsunami disaster, we developed a home-return model. The model can estimate the rate of people who will have returned home any number of days after an earthquake disaster. As a result, we obtained high the root-mean-square error (RMSE) accuracy of the model. The study leads to a new understanding of the quantitative relationship between people returning home after evacuation and local vulnerability and tsunami hazards.

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References

  1. Böhning, D.: Multinomial logistic regression algorithm. Ann. Inst. Stat. Math. 44(1), 197–200 (1992)

    Article  Google Scholar 

  2. Dohi, Y., Okumura, Y., Koyama, M., Yuasa, R., Kiyono, J.: Development of simulation model for the initiation process of community’s tsunami evacuation. J. Jpn. Soc. Civ. Eng. B2, 70(2),1356–1360 (2014)

    Google Scholar 

  3. Kumamoto prefecture: About the response to the Kumamoto earthquake and future issues. http://www.bousai.go.jp/taisaku/kyuujo/pdf/h29kaigi/siryo1-3.pdf. Last accessed 4 Jan 2018

  4. Kumamoto prefecture: Verification report on recovery and reconstruction efforts after the 4th month of the Kumamoto earthquake. http://www.pref.kumamoto.jp/kiji_23049.html. Last accessed 08 Aug 2018

  5. Ministry of Health, Labor and Welfare: About damage situation and correspondence of 2011 Tohoku district Pacific coast earthquake. http://www.mhlw.go.jp/stf/houdou/index.html. Last accessed 07 Oct 2017

  6. National Census: Statistical Tables of the 2010 Population Census. https://www.e-stat.go.jp/en/stat-search/files?tstat=000001039448. Last accessed 8 Aug 2018

  7. Nojima, N., Kato, H.: Modification and validation of an assessment model of post-earthquake lifeline serviceability based on the great east Japan earthquake disaster. J. Disaster Res. 9(2), 108–120 (2017)

    Google Scholar 

  8. Ogawa, Y., Akiyama, Y., Shibasaki, R.: Evaluation of catastrophic earthquake damage throughout Japan using estimated micro data. In: CUPUM2013 Conference Papers, CD-ROM (2013)

    Google Scholar 

  9. Ogawa, Y.: A study on the evaluation of risk scenario in large-scale earthquake and tsunami: the application of micro geodata, Ph.D. Thesis, The University of Tokyo, Japan (2016)

    Google Scholar 

  10. Property insurance premium rate calculation mechanism: Investigation of damage prediction method in earthquake damage estimation by national and local governments. https://www.giroj.or.jp/publication/earthquake_research/No08_3.pdf. Last accessed 04 Jan 2018

  11. Yamaguchi, H., Okumura, M., Kaneda, H., Habu, K.: Damage and recovery process of Kumamoto earthquake in daily staying patterns: observation by mobile phone GPS data. J. Jpn Soc. Civ. Eng. D3, 73(5), 105–117 (2017)

    Google Scholar 

  12. Yi, T., Nagasaka, T., Usuda, Y., Taguchi, H., Okada, S., Tsubokawa, H., Sunaga, Y.: Utilization of Geographic Information for Disaster Volunteer Centers in Tohoku Earthquake Disaster. In: GISA2011 Confarence Papers, CD-ROM(2011)

    Google Scholar 

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Acknowledgements

We would like to thank CSIS (joint research No. 448) and ZENRIN DataCom Co., LTD for providing the Congestion Analysis®.

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Correspondence to Yoshiki Ogawa .

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Ogawa, Y., Sato, T., Akiyama, Y., Shibasaki, R., Sekimoto, Y. (2018). Developing a Model for Estimating the Home Return of Evacuees Based on the 2011 Tohoku Earthquake Tsunami—Utilizing Mobile Phone GPS Big Data. In: Bungartz, HJ., Kranzlmüller, D., Weinberg, V., Weismüller, J., Wohlgemuth, V. (eds) Advances and New Trends in Environmental Informatics. Progress in IS. Springer, Cham. https://doi.org/10.1007/978-3-319-99654-7_15

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  • DOI: https://doi.org/10.1007/978-3-319-99654-7_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-99653-0

  • Online ISBN: 978-3-319-99654-7

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