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Multiple obnoxious facility location: the case of protected areas

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Abstract

Most of the existing obnoxious facility location models use points to represent locations of demand centers and facilities. These points are typically centroids of geographical regions, such as cities or protected wildlife areas. Representing areas as points is convenient for the development and analysis of location models, but it may hinder the models’ practical applications. In continuous models, facilities may be located far from the centroid but close to (or even inside) the boundaries of the protected area. Also, some centroids may be located outside of the areas which they represent. We propose a heuristic that leverages the existing point-based models to locate multiple obnoxious facilities around protected areas and, at the same time, minimize the negative impact on those areas. The effectiveness of our approach is illustrated with both generated and real-world instances.

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Data availability statement

The data generated during and/or analysed during the current study are available in the Open Science Framework repository, https://osf.io/t65dr.

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M.M-K and P.K.: made substantial contributions to the conception or design of the work; drafted the work or revised it critically for important intellectual content; approved the version to be published; and agree to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.

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Correspondence to Pawel Kalczynski.

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Appendix

Appendix

Generating multiple instances, each with a set of random non-overlapping simple polygons (convex and non-convex) was necessary for our simulation. We used the following approach, which yields patterns similar to real-world protected areas.

First, we randomly generate 100 points in a 100 by 100 square and superimpose a Voronoi mesh on this square. Next, we randomly choose between 1 and 50 of the Voronoi mesh polygons and unionize them. If all the resulting polygonal areas are simple polygons, we consider an instance valid, otherwise the instance is rejected. The vertices of these polygonal protected areas are used to determine their centroids.

In our experiment, this process resulted in discarding 33 instances in order to generate 100 valid simulated instances. Figure 6 shows five examples of valid instances with protected areas (shown in black) covering between 1.3 and 48% of the total area of the square.

Fig. 6
figure 6

Sample simulated instances

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Miklas-Kalczynska, M., Kalczynski, P. Multiple obnoxious facility location: the case of protected areas. Comput Manag Sci 21, 23 (2024). https://doi.org/10.1007/s10287-024-00503-4

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