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

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Date
2010-01
Author
Çelik, Hüseyin Murat
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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. © 2009 Elsevier Ltd. All rights reserved.
URI
http://doi.org/10.1016/j.jtrangeo.2009.05.013
http://hdl.handle.net/11147/2813
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  • City and Regional Planning / Şehir ve Bölge Planlama [70]
  • Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection [3276]
  • WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection [2953]


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