AGGREGATE DESTINATION CHOICE MODELS INCORPORATING PROBABILISTIC FORMATION OF A CHOICE SET

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  • 選択肢集合の確率的形成を考慮した集計型目的地選択モデルの研究
  • センタクシシュウゴウ ノ カクリツテキ ケイセイ オ コウリョ シタ シュウケイガタ モクテキチ センタク モデル ノ ケンキュウ

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Abstract

This paper presents two aggregate models of destination choice which incorporate probabilistic formation of a choice set, in order to make possible us to forecast trip distribution efficiently. We assume that an alternative is dependent of the others and is selected into a choice set only if the utility exceeds a stochastic threshold. Therefore, we formulate alternative-selection probability model. The one is logit model in which the utility function is truncated by alternative-selection threshold. The other model is based upon the idea of importance sampling alternatives, but the sampling probability is replaced by alternative-selection probability. The result obtained by empirical study shows that both our models are statistically significant and can reproduce trip distribution observed very well.

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