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Sample size needed for calibrating trip distribution and behavior of the gravity model

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  • Celik, H. Murat

Abstract

Conventional calibration algorithms of trip distribution models assume that the analyst has a whole base year trip matrix. To attain a whole trip matrix, the sample size for travel surveys needed to be as large as possible. However, this could be very expensive especially in large cities. Some studies in the past showed a small sized sample would be enough to estimate functional parameters of observed trip length frequency distribution. But the performance of a gravity model with small sized samples has never been addressed. This empirical study has shown that sample sizes as small as 1000 (even smaller for quick response studies) could be as dependable as large sample surveys using a line search calibration algorithm.

Suggested Citation

  • Celik, H. Murat, 2010. "Sample size needed for calibrating trip distribution and behavior of the gravity model," Journal of Transport Geography, Elsevier, vol. 18(1), pages 183-190.
    • Handle: RePEc:eee:jotrge:v:18:y:2010:i:1:p:183-190
    DOI: 10.1016/j.jtrangeo.2009.05.013
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    References listed on IDEAS

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    1. G. M. Hyman, 1969. "The Calibration of Trip Distribution Models," Environment and Planning A, , vol. 1(1), pages 105-112, June.
    2. S Openshaw, 1976. "An Empirical Study of Some Spatial Interaction Models," Environment and Planning A, , vol. 8(1), pages 23-41, February.
    3. J.G. Rose, 1975. "The Calibration of Trip Distribution Models-A New Philosophy," Urban Studies, Urban Studies Journal Limited, vol. 12(3), pages 335-338, October.
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    Cited by:

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    2. Jungmin Kim & Juyong Park & Wonjae Lee, 2018. "Why do people move? Enhancing human mobility prediction using local functions based on public records and SNS data," PLOS ONE, Public Library of Science, vol. 13(2), pages 1-29, February.

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