A note on the calculation and calibration of doubly constrained trip distribution models

RobinMorphet

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A note on the calculation and calibration of doubly constrained trip distribution models

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The use of growth factor models for trip distribution has given way in the past to the use of more complex synthetic models. Nevertheless growth factor models are still used, for example in modelling external trips, in small area studies, in input-output analysis, and in category analysis. In this article a particular growth factor model, the Furness, is examined. Its application and functional form are described together with the method of iteration used in its operation. The “expected information” statistic is described and interpreted and it is shown that the Furness model predicts a trip distribution which, when compared with observed trips, has the minimum expected information subject to origin and destination constraints. An equivalent entropy maximising derivation is described and the two methods compared to show how the Furness iteration can be used in gravity models with specified deterrence functions. A trip distribution model explicitly incorporating information from observed trips, is then deri

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《transportation》 |2004年第1期|43-53|共页
作者
RobinMorphet;
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作者单位

Central Team, Central London Planning Conference;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种英语
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A note on the calculation and calibration of doubly constrained trip distribution models

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