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Two Approaches to Cooperative Covering Location Problem and Their Application to Ambulance Deployment

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Operations Research Proceedings 2015

Part of the book series: Operations Research Proceedings ((ORP))

Abstract

This study proposes two approximation methods to define the coverage probability in ambulance location problems based on the model of cooperative covering proposed by Berman et al. (IEE Trans. 40, 232–245, 2010, [1]) as an extension to classical covering problems. A key ingredient of the model is the estimation of the coverage probability by multiple facilities. We introduce a simple parametric model for the travel time of ambulances and propose two methods to calculate the coverage probability approximately. We report and discuss two solutions obtained from computations using actual data.

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References

  1. Berman, O., Drezner, Z., Krass, D.: Cooperative cover location problems: the planar case. IEE Trans. 40, 232–245 (2010)

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Authors and Affiliations

  1. National Graduate Institute for Policy Studies, Tokyo, Japan

    Hozumi Morohosi

  2. Nara University of Education, Nara, Japan

    Takehiro Furuta

Authors
  1. Hozumi Morohosi
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  2. Takehiro Furuta
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Corresponding author

Correspondence to Hozumi Morohosi .

Editor information

Editors and Affiliations

  1. Department of Business Administration, University of Vienna, Vienna, Austria

    Karl Franz Dörner

  2. Decision Sciences and Statistics (IDS) Department, ESSEC Business School of Paris, Cergy Pontoise Cedex, France

    Ivana Ljubic

  3. Department of Statistics and Operations Research, University of Vienna, Vienna, Austria

    Georg Pflug

  4. Operations Research and Control Systems, TU Wien, Vienna, Austria

    Gernot Tragler

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© 2017 Springer International Publishing Switzerland

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Morohosi, H., Furuta, T. (2017). Two Approaches to Cooperative Covering Location Problem and Their Application to Ambulance Deployment. In: Dörner, K., Ljubic, I., Pflug, G., Tragler, G. (eds) Operations Research Proceedings 2015. Operations Research Proceedings. Springer, Cham. https://doi.org/10.1007/978-3-319-42902-1_49

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