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The GCOST~TM model for demand estimation

机译:用于需求估计的GCOST〜TM模型

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The privatised railway in Britain has brought increased funds for investment, but less time for implementation. This brings the problem of how accurate demand forecasting can occur in the limited time available. The GCOST~TM TM model is a recently-developed spreadsheet-based application which is both behaviourall-sound and and reasonably accurate. It is based on conventional generalised cost (gc) theory, with the elements of gc being entered for a relatively limited number of traffic zones. Total traffic levels can be estimated from a gravity-based formulation if Census-type statistics (e.g. on population, and trip distribution by all modes) are not available. A logit statistical function is applied to the total gc of each mode of transport for each Origin:Destination pair to allocate traffic between the modes. A pair of models has even been used in a hierarchic application of logit modelling.
机译:英国的私有铁路带来了更多的投资资金,但实施时间却更少。这带来了在有限的可用时间内如何准确进行需求预测的问题。 GCOST〜TM TM模型是最近开发的基于电子表格的应用程序,具有健全的声音和合理的准确性。它基于常规的广义成本(gc)理论,其中gc的元素是针对相对有限数量的交通区域输入的。如果无法获得人口普查类型的统计数据(例如人口和所有模式的出行分布),则可以从基于重力的公式中估算总交通量。将Logit统计函数应用于每个Origin:Destination对的每种传输方式的总gc,以在两种方式之间分配流量。甚至在logit建模的分层应用程序中已经使用了一对模型。

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