Genetic k-Means Clustering Approach for Mapping Human Vulnerability to Chemical Hazards in the Industrialized City: A Case Study of Shanghai, China

@article{Shi2013GeneticKC,
  title={Genetic k-Means Clustering Approach for Mapping Human Vulnerability to Chemical Hazards in the Industrialized City: A Case Study of Shanghai, China},
  author={W. Shi and W. Zeng},
  journal={International Journal of Environmental Research and Public Health},
  year={2013},
  volume={10},
  pages={2578 - 2595}
}
  • W. Shi, W. Zeng
  • Published 2013
  • Computer Science, Medicine
  • International Journal of Environmental Research and Public Health
  • Reducing human vulnerability to chemical hazards in the industrialized city is a matter of great urgency. Vulnerability mapping is an alternative approach for providing vulnerability-reducing interventions in a region. This study presents a method for mapping human vulnerability to chemical hazards by using clustering analysis for effective vulnerability reduction. Taking the city of Shanghai as the study area, we measure human exposure to chemical hazards by using the proximity model with… CONTINUE READING
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    References

    SHOWING 1-10 OF 39 REFERENCES
    Using the analytical hierarchy process to assess the environmental vulnerabilities of basins in Taiwan
    • C. Chang, Yu-Chi Chao
    • Environmental Science, Medicine
    • Environmental Monitoring and Assessment
    • 2011
    • 22
    Illustrating the coupled human–environment system for vulnerability analysis: Three case studies
    • B L Turner, P. Matson, +15 authors N. Tyler
    • Computer Science, Medicine
    • Proceedings of the National Academy of Sciences of the United States of America
    • 2003
    • 548
    • PDF
    An emission-weighted proximity model for air pollution exposure assessment.
    • 22