Gender-Sensitive Disaster Vulnerability Using Analytic Hierarchy Process and Genetic Algorithm

  • Gunhui ChungEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 514)


Disasters might cause different impacts for women, girls, or men be-cause of their capability to evacuate. These differences are initiated by cultural constraints on female mobility, lack of physical skills or strength. In South Korea, floods have been the most impacted natural disaster resulting in the loss of people’s lives and economic damage. Therefore, the gender-sensitive disaster vulnerability factors were proposed in this study. The weights of the factors were calculated using Analytic Hierarchy Process (AHP) and combination of AHP and Genetic Algorithm (GA). As a result, AHP-GA method provided more consistent results and gender related factors had higher weights in AHP-GA method than conventional AHP. Therefore, more detailed analysis is required to gender sensitive vulnerability index for the natural disaster prepare and response.


Gender-sensitive Disaster vulnerability Analytic hierarchy process Genetic algorithm 



This research was supported by Support Program for Women in Science, Engineering and Technology through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT and Future Planning (reference number 2016H1C3A1903202).


  1. 1.
    Aly, M.F., El-hameed, H.M.A.: Integrating AHP and genetic algorithm model adopted for personal selection. Int. J. Eng. Trends Technol. 6(5), 247–256 (2013)Google Scholar
  2. 2.
    UNDP. Adaptation Policy Frameworks for Climate Change: Developing Strategies, Policies, and Measures, Cambridge University Press (2004)Google Scholar
  3. 3.
    Saaty, T.L.: How to make a decision: the analytic hierarchy process. Euro. J. Oper. Res. 48(1), 9–26 (1990)MathSciNetCrossRefzbMATHGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2017

Authors and Affiliations

  1. 1.Department of Civil EngineeringHoseo UniversityAsanSouth Korea

Personalised recommendations