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Understanding Resilience: A Spatio-temporal Vulnerability Assessment of a Population Affected by a Sudden Lack of Food

In: Advances in Managing Humanitarian Operations

Author

Listed:
  • Thomas Münzberg

    (Karlsruhe Institute of Technology)

  • Marcus Wiens

    (Karlsruhe Institute of Technology)

  • Frank Schultmann

    (Karlsruhe Institute of Technology)

Abstract

Natural disasters such as massive floods and severe storms can lead to disorganizations of the food supply chain. A cutoff of the food supply chain is a worst case scenario in which the population is not able to buy food in stores for a couple of days. In this situation, the private food stock in households is the key self-helping capacity to cope with the effects of a sudden lack of food. In this paper a spatio-temporal vulnerability model is introduced to facilitate disaster preparedness and to enhance the understanding of resilience of the population in Germany. The model is indicator-based and uses the empirical data about the stock piling behavior of the population, statistical data about the population structure of different city districts, and the results of an expert survey to estimate the time-dependent vulnerability of a population derived from the continuous consumption of their private food stock. The paper includes a review about studies recently published about the empirical quantifications of food stocks in households in Germany and an evaluation of the expert survey. The model was applied to two cases of German cities to demonstrate and discuss its benefits.

Suggested Citation

  • Thomas Münzberg & Marcus Wiens & Frank Schultmann, 2016. "Understanding Resilience: A Spatio-temporal Vulnerability Assessment of a Population Affected by a Sudden Lack of Food," International Series in Operations Research & Management Science, in: Christopher W. Zobel & Nezih Altay & Mark P. Haselkorn (ed.), Advances in Managing Humanitarian Operations, chapter 12, pages 257-280, Springer.
    • Handle: RePEc:spr:isochp:978-3-319-24418-1_12
    DOI: 10.1007/978-3-319-24418-1_12
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    Citations

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    Cited by:

    1. Simandjuntak, Daniel P. & Jaenicke, Edward C., 2021. "Consumer Food Stockpiling and Retail Recovery Before, During, and After U.S. Hurricanes," 2021 Annual Meeting, August 1-3, Austin, Texas 313929, Agricultural and Applied Economics Association.
    2. Simandjuntak, Daniel P. & Jaenicke, Edward C. & Wrenn, Douglas H., 2022. "Heterogeneity in Consumer Food Stockpiling and Retailer Experiences During Hurricane Sandy," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322183, Agricultural and Applied Economics Association.
    3. Feyza G. Sahinyazan & Marie‐Ève Rancourt & Vedat Verter, 2021. "Food Aid Modality Selection Problem," Production and Operations Management, Production and Operations Management Society, vol. 30(4), pages 965-983, April.

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