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Measuring Distances

  • Chapter
Single-Facility Location Problems with Barriers

Part of the book series: Springer Series in Operations Research ((ORFE))

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The choice of a suitable distance function plays a crucial role for a good estimation of travel distances in realistic environments. Depending on the mode of travel and the type of problem considered, we may use, for example, Euclidean distances to model airtravel or the Manhattan metric for transportation problems in New York. This indicates that different modes of transportation require different ways of distance estimation. Consequently, an increasing effort to estimate travel distances with high accuracy has arisen from the growing variety in the transportation sector.

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Authors and Affiliations

  1. Institute of Applied Mathematics, University of Erlange-Nuremberg, Martensstrasse 3, 91058, Erlangen, Germany

    Kathrin Klamroth

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  1. Kathrin Klamroth
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© 2002 Springer-Verlag New York, Inc.

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Klamroth, K. (2002). Measuring Distances. In: Single-Facility Location Problems with Barriers. Springer Series in Operations Research. Springer, New York, NY. https://doi.org/10.1007/0-387-22707-5_1

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  • DOI: https://doi.org/10.1007/0-387-22707-5_1

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4419-3027-9

  • Online ISBN: 978-0-387-22707-8

  • eBook Packages: Springer Book Archive

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