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International Conference on Intelligent Human Systems Integration

IHSI 2018: Intelligent Human Systems Integration pp 473–479Cite as

A Qualitative Model to Estimate Users’ Fear of Environmental Conditions for Evacuation Route Guidance

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 722))

Abstract

Fear has a great impact on a decision-making phase of evacuees in hazardous situations. Even if it is a safe route, evacuees may find difficulty in passing there. The aim of this study is to clarify physical conditions along roads that make evacuees have fear, and to develop an estimation model quantifying the degree. The validity of the model was confirmed by comparing the subjective evaluation of the fear by the participants with the estimated value by the model. We will develop a route planning method incorporating this model. It is expected that the navigation system with the method can provide routes where users evacuate with reassured, avoiding places where they may feel great fears.

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References

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Acknowledgments

This work was supported in part by Grants-Aid for Science Research 17K00436 of the Japanese Ministry of Education, Science, Sports and Culture.

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Authors and Affiliations

  1. Department of Risk Engineering, University of Tsukuba, Tsukuba, 305-8573, Japan

    Hiroshi Furukawa & Zhihuan Liu

Authors
  1. Hiroshi Furukawa
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  2. Zhihuan Liu
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Corresponding author

Correspondence to Hiroshi Furukawa .

Editor information

Editors and Affiliations

  1. University of Central Florida, Orlando, Florida, USA

    Waldemar Karwowski

  2. University of Central Florida, Orlando, Florida, USA

    Tareq Ahram

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Cite this paper

Furukawa, H., Liu, Z. (2018). A Qualitative Model to Estimate Users’ Fear of Environmental Conditions for Evacuation Route Guidance. In: Karwowski, W., Ahram, T. (eds) Intelligent Human Systems Integration. IHSI 2018. Advances in Intelligent Systems and Computing, vol 722. Springer, Cham. https://doi.org/10.1007/978-3-319-73888-8_74

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  • DOI: https://doi.org/10.1007/978-3-319-73888-8_74

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-73887-1

  • Online ISBN: 978-3-319-73888-8

  • eBook Packages: EngineeringEngineering (R0)

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