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

Thomas Münzberg (), Marcus Wiens and Frank Schultmann ()
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Thomas Münzberg: Karlsruhe Institute of Technology
Frank Schultmann: Karlsruhe Institute of Technology

Chapter 12 in Advances in Managing Humanitarian Operations, 2016, pp 257-280 from Springer

Abstract: 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.

Keywords: Resilience; Coping capacity; Indicator-based vulnerability assessment; Spatio-temporal assessment; Disaster relief; Disaster management planning; Lack of food; Food supply disruption (search for similar items in EconPapers)
Date: 2016
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DOI: 10.1007/978-3-319-24418-1_12

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