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Errors in the Measurement of Spatial Distances between Discrete Regions

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  • A Rodriguez-Bachiller

    (Department of Town Planning, Oxford Polytechnic, Headington, Oxford OX3 0BP, England)

Abstract

The use of intercentroid distances to measure spatial separation between discrete zones, introduces substantial errors into the measurement of distances between zones. These errors can produce important distortions; for instance, in the performance of spatial models based on a power or exponential function of distance. The nature and source of the errors and the magnitude of their effect on the performance of spatial interaction models are established for different types of situations and for different degrees of complexity in the network along which distances are measured. Some suggestions are made on an approach to correcting these errors; a particular approximation including the self-distances in the calculation of interzonal distances is discussed, and it is shown that it reduces the magnitude of the errors to more acceptable levels.

Suggested Citation

  • A Rodriguez-Bachiller, 1983. "Errors in the Measurement of Spatial Distances between Discrete Regions," Environment and Planning A, , vol. 15(6), pages 781-799, June.
    • Handle: RePEc:sae:envira:v:15:y:1983:i:6:p:781-799
    DOI: 10.1068/a150781
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    Cited by:

    1. Ouassim Manout & Patrick Bonnel, 2019. "The impact of ignoring intrazonal trips in assignment models: a stochastic approach," Transportation, Springer, vol. 46(6), pages 2397-2417, December.
    2. Maud M. Hensen & M. Robert De Vries & Frank Cörvers, 2009. "The role of geographic mobility in reducing education‐job mismatches in the Netherlands," Papers in Regional Science, Wiley Blackwell, vol. 88(3), pages 667-682, August.
    3. R. Francis & T. Lowe & M. Rayco & A. Tamir, 2009. "Aggregation error for location models: survey and analysis," Annals of Operations Research, Springer, vol. 167(1), pages 171-208, March.

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