Qualitative Choice and the Blending of Discrete Alternatives
重新审视离散选择理论，提出决策者可在扩展规划期内有意混合离散选项，并开发了多项逻辑和广义概率模型。利用首尔通勤者的出行日志估计新模型，发现其旅行成本弹性远低于传统短视模型。
This paper takes a fresh look at discrete choice theory by observing that decision makers can deliberately blend discrete alternatives within an extended planning honrzon. Multinomial logit and generalized probit models are developed and their properties examined. These are then estimated and compared to the traditional myopic model using the travel diaries of a sample of commuters from Seoul, Korea. The new models yield travel cost elasticities which are substantially lower than those of the traditional approach.