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The Shortest Covering Path Problem

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  • Timothy J. Niblett
  • Richard L. Church

Abstract

The shortest covering path (SCP) problem involves finding the shortest path between an origin node and a destination node, where the path traverses the network and passes within a maximal covering distance of all nodes of the network. This problem was originally proposed by Current, ReVelle, and Cohon. Since that time researchers have proposed both heuristic and optimal approaches for this problem as well as have developed more general forms, including the maximal covering shortest path problem. From the outset, it has been assumed that any optimal covering path would never loop or double back on itself. This assumption is examined in detail. We demonstrate that this assumption can lead to longer than necessary covering paths. We also present a new, more general construct, which can be used to generate optimal SCPs and demonstrate its use on an example problem.

Suggested Citation

  • Timothy J. Niblett & Richard L. Church, 2016. "The Shortest Covering Path Problem," International Regional Science Review, , vol. 39(1), pages 131-151, January.
    • Handle: RePEc:sae:inrsre:v:39:y:2016:i:1:p:131-151
    DOI: 10.1177/0160017614550082
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    References listed on IDEAS

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