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Calibrating Urban Residential Location Models 5: A Comparison of Trip-End and Trip-Interchange Calibration Methods

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  • Y-S Kim

    (Department of Public Administration, Kyungpook National University, Daegu 635, Republic of Korea)

  • S H Putman

    (Urban Simulation Laboratory, Department of City and Regional Planning, University of Pennsylvania, Philadelphia, PA 19104, USA)

Abstract

In the previous articles in this series, the problem of calibrating residential location models has been extensively discussed. The discussion has been exclusively devoted to what may be termed trip-end calibration procedures. This was largely the result of the available data sets and the focus on multivariate multiparametric attractiveness functions. Most other authors dealt with what may be called trip-interchange calibration. This article presents a comparison of the two calibration approaches. With the use of artificial data sets to avoid obfuscation of the results, a series of calibrations were done by both techniques on thirty randomly perturbed versions of the same data set. The results show that both calibration approaches yield the same parameter values but the variances of the estimates are greater for trip-end calibration than for trip-interchange calibration. Some implications for practical application are discussed, with particular reference to the problem of consistency of trip-end and trip-interchange data.

Suggested Citation

  • Y-S Kim & S H Putman, 1984. "Calibrating Urban Residential Location Models 5: A Comparison of Trip-End and Trip-Interchange Calibration Methods," Environment and Planning A, , vol. 16(12), pages 1649-1664, December.
  • Handle: RePEc:sae:envira:v:16:y:1984:i:12:p:1649-1664
    DOI: 10.1068/a161649
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