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Corridor location: the multi-gateway shortest path model

Author

Listed:
  • Maria Scaparra
  • Richard Church
  • F. Medrano

Abstract

The problem of corridor location can be found in a number of fields including power transmission, highways, and pipelines. It involves the placement of a corridor or rights-of-way that traverses a landscape starting at an origin and ending at a destination. Since most systems are subject to environmental review, it is important to generate competitive, but different alternatives. This paper addresses the problem of generating efficient, spatially different alternatives to the corridor location problem. We discuss the weaknesses in current models and propose a new approach which is designed to overcome many of these problems. We present an application of this model to a real landscape and compare the results to past work. Overall, the new model called the multi-gateway shortest path problem can generate a wide variety of efficient alignments, which eclipse what could be generated by past work. Copyright Springer-Verlag Berlin Heidelberg 2014

Suggested Citation

  • Maria Scaparra & Richard Church & F. Medrano, 2014. "Corridor location: the multi-gateway shortest path model," Journal of Geographical Systems, Springer, vol. 16(3), pages 287-309, July.
    • Handle: RePEc:kap:jgeosy:v:16:y:2014:i:3:p:287-309
    DOI: 10.1007/s10109-014-0197-8
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    References listed on IDEAS

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    1. Akgun, Vedat & Erkut, Erhan & Batta, Rajan, 2000. "On finding dissimilar paths," European Journal of Operational Research, Elsevier, vol. 121(2), pages 232-246, March.
    2. E. Downey Brill, Jr., 1979. "The Use of Optimization Models in Public-Sector Planning," Management Science, INFORMS, vol. 25(5), pages 413-422, May.
    3. Erkut, Erhan, 1990. "The discrete p-dispersion problem," European Journal of Operational Research, Elsevier, vol. 46(1), pages 48-60, May.
    4. M F Goodchild, 1977. "An Evaluation of Lattice Solutions to the Problem of Corridor Location," Environment and Planning A, , vol. 9(7), pages 727-738, July.
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    Citations

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    Cited by:

    1. Xin Feng & Alan T. Murray, 2018. "Allocation using a heterogeneous space Voronoi diagram," Journal of Geographical Systems, Springer, vol. 20(3), pages 207-226, July.
    2. Richard L Church & Carlos A Baez, 2020. "Generating optimal and near-optimal solutions to facility location problems," Environment and Planning B, , vol. 47(6), pages 1014-1030, July.
    3. Murray, Alan T., 2021. "Contemporary optimization application through geographic information systems," Omega, Elsevier, vol. 99(C).
    4. Pushak, Yasha & Hare, Warren & Lucet, Yves, 2016. "Multiple-path selection for new highway alignments using discrete algorithms," European Journal of Operational Research, Elsevier, vol. 248(2), pages 415-427.
    5. Eric Daniel Fournier, 2016. "MOGADOR revisited: Improving a genetic approach to multi-objective corridor search," Environment and Planning B, , vol. 43(4), pages 663-680, July.
    6. Xin Feng & Shaohua Wang & Alan T Murray & Yuanpei Cao & Song Gao, 2021. "Multi-objective trajectory optimization in planning for sequential activities across space and through time," Environment and Planning B, , vol. 48(4), pages 945-963, May.
    7. C. Jacobs-Crisioni & C. C. Koopmans, 2016. "Transport link scanner: simulating geographic transport network expansion through individual investments," Journal of Geographical Systems, Springer, vol. 18(3), pages 265-301, July.
    8. F Antonio Medrano, 2021. "Effects of raster terrain representation on GIS shortest path analysis," PLOS ONE, Public Library of Science, vol. 16(4), pages 1-19, April.

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    More about this item

    Keywords

    Corridor location; Shortest path algorithms; Alternative generation; GIS; Spatial optimization; C44; Q40;
    All these keywords.

    JEL classification:

    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General

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