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

Celik, H. Murat

AbstractConventional 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.

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

Celik, H. Murat

AbstractConventional 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.

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

Celik, H. Murat

AbstractConventional 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.

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Title:

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

Contributors:

Celik, H. Murat (author)

Published in:

Journal of Transport Geography ; 18 ; 183-190

Publication date:

2009-01-01

Size:

8 pages

ISSN:

DOI:

https://doi.org/10.1016/j.jtrangeo.2009.05.013

Type of media:

Article (Journal)

Type of material:

Electronic Resource

Language:

English

Keywords:

Travel survey , Sample size , Gravity model , Trip distribution , Istanbul

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