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Disaster risk evaluation using factor analysis: a case study of Chinese regions

Author

Listed:
  • Ning Chen

    (Henan Polytechnic University)

  • Lu Chen

    (Beijing Wuzi University)

  • Chaosheng Tang

    (Henan Polytechnic University)

  • Zhengjiang Wu

    (Henan Polytechnic University)

  • An Chen

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

Abstract

Regional risk to natural disasters is a critical multi-criteria decision-making (MCDM) problem in the literature due to the complicated and usually conflicting evaluation index system. Although a variety of MCDM methods can be applied to deal with the problem, the prior study primarily focused on the ranking of alternatives with little investigation on the influence of indicators. In this paper, an integrated approach is proposed by combining factor analysis and MCDM techniques to evaluate the thirty-one Chinese regions in terms of twenty-eight indicators. The advantage of factor analysis is demonstrated in extracting the dominant factors in an interpretable manner. Two commonly used MCDM techniques, namely TOPSIS and VIKOR, are then employed to evaluate the comprehensive risk of regions to natural hazards. The proposed approach not only provides the ranking of regions but also reveals the influence of indicators on the regional risk.

Suggested Citation

  • Ning Chen & Lu Chen & Chaosheng Tang & Zhengjiang Wu & An Chen, 2019. "Disaster risk evaluation using factor analysis: a case study of Chinese regions," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 99(1), pages 321-335, October.
    • Handle: RePEc:spr:nathaz:v:99:y:2019:i:1:d:10.1007_s11069-019-03742-w
    DOI: 10.1007/s11069-019-03742-w
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    References listed on IDEAS

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    1. Kaizhong Li & Shaohong Wu & Erfu Dai & Zhongchun Xu, 2012. "Flood loss analysis and quantitative risk assessment in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 63(2), pages 737-760, September.
    2. Ransikarbum, Kasin & Mason, Scott J., 2016. "Goal programming-based post-disaster decision making for integrated relief distribution and early-stage network restoration," International Journal of Production Economics, Elsevier, vol. 182(C), pages 324-341.
    3. Yang Zhou & Ning Li & Wenxiang Wu & Jidong Wu, 2014. "Assessment of provincial social vulnerability to natural disasters in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 71(3), pages 2165-2186, April.
    4. Arash Malekian & Ali Azarnivand, 2016. "Application of Integrated Shannon’s Entropy and VIKOR Techniques in Prioritization of Flood Risk in the Shemshak Watershed, Iran," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(1), pages 409-425, January.
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