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Construction and Analysis of Cross-Regional Emergency Collaboration Network Model

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12816))

Abstract

In recent years, the impact of accidents and disasters in the region has expanded, and many places are unable to handle major accidents and disasters alone, requiring cross-regional collaboration. To address the difficult issues of reasonable and effective allocation of various emergency resources such as funds and materials in the process of cross-regional collaboration, in this paper, we introduce a network model to construct an emergency collaboration network by linking the emergency response center, rescue sites and affected sites. Using the network analysis method, including the key node analysis, community discovery and so on, to assist in solving the problems of emergency material allocation and emergency rescue partner discovery. Finally, the visualization technology is used to show the emergency coordination network to the emergency managers, so as to assist their emergency decision-making.

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Notes

  1. 1.

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Acknowledgements

This work was supported in part by the North China Institute of Science and Technology Higher Education Research Program under Grants #HKJYZD202112, and Science and Technology Research and Development Program under Grant #2021011004.The authors are grateful for the anonymous reviewers whose comments helped improve and clarify this manuscript.

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Correspondence to Yunlei Zhang .

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Zhang, Y., Ma, X., Guan, H., Wang, L. (2021). Construction and Analysis of Cross-Regional Emergency Collaboration Network Model. In: Qiu, H., Zhang, C., Fei, Z., Qiu, M., Kung, SY. (eds) Knowledge Science, Engineering and Management . KSEM 2021. Lecture Notes in Computer Science(), vol 12816. Springer, Cham. https://doi.org/10.1007/978-3-030-82147-0_28

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  • DOI: https://doi.org/10.1007/978-3-030-82147-0_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-82146-3

  • Online ISBN: 978-3-030-82147-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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