Abstract

In cases where the private sector struggles to cope with the impact of a disaster, authorities seek to reduce the burden on the population and set up supply chains to distribute essential goods. Therefore, they estimate the demand and location of the affected people and open points of distribution to supply goods from, e.g., public buildings or sports facilities. However, the location of these points of distribution depends heavily on accurate demand estimations, which are barely available. Combined with a high time pressure that prevents the collection of detailed data, inefficient decisions result. However, these decisions improve significantly if private actors share their market knowledge. Since this information is strictly confidential for companies and at the same time requires a lot of coordination effort from public actors to acquire, the quantification of the effects of such a collaboration is essential for both sides. Moreover, the time at which the information is received and how the information is utilized regarding different intervention intensities is crucial. Therefore, we develop a framework to quantify the effects of shared information on both actors and apply it to a case study for a tap water contamination in the city of Berlin. We highlight that beneficiaries and authorities significantly benefit from the collaboration and that the time the information is received has a limited effect on the total supply. Finally, we show that private actors can significantly reduce the impact of market interventions on their processes by actively collaborating with authorities.

Full Text
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