Environmental Modeling & Assessment

, Volume 7, Issue 2, pp 71–80

Counterpart Models in Facility Location Science and Reserve Selection Science

  • Charles S. ReVelle
  • Justin C. Williams
  • John J. Boland
Article

DOI: 10.1023/A:1015641514293

Cite this article as:
ReVelle, C.S., Williams, J.C. & Boland, J.J. Environmental Modeling & Assessment (2002) 7: 71. doi:10.1023/A:1015641514293
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Abstract

Five classes of zero–one programming models for discrete facility location problems are compared to counterpart models for the selection of conservation reserves. The basic problem of siting facilities to cover demand for services is analogous to the problem of selecting reserves to support species diversity. The classes of models include the set covering and maximal covering models, as well as models for backup and redundant coverage. Issues of reliability and uncertainty are addressed by chance constrained covering models and maximal expected covering models. Exact and heuristic solution approaches are discussed. Multi-objective and economic issues are considered.

facility location reserve selection integer programming multi-objective programming decision models 

Copyright information

© Kluwer Academic Publishers 2002

Authors and Affiliations

  • Charles S. ReVelle
    • 1
  • Justin C. Williams
    • 1
  • John J. Boland
    • 1
  1. 1.Department of Geography and Environmental EngineeringJohns Hopkins UniversityBaltimoreUSA

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