FREQUENCY CHOICE MODEL FOR NON-GROCERY SHOPPING TRIPS, AS AN ASPECT OF MULTIDIMENSIONAL TRAVEL BEHAVIOR
FREQUENCY CHOICE MODEL FOR NON-GROCERY SHOPPING TRIPS, AS AN ASPECT OF MULTIDIMENSIONAL TRAVEL BEHAVIOR
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非杂货购物旅行的频率选择模型，作为多维旅行行为的一个方面
DOI：
10.2208/jscej.1990.107
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发表时间：
1990
期刊：
影响因子：
--
通讯作者：
N. Harata
中科院分区：
文献类型：
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作者：
Akira Yoshida;N. Harata
与出行决策的其他方面相比，出行生成模型受到的关注较少。本文对非杂货购物的出行决策结构进行了一些探讨，并提出了将选择模型应用于出行决策的可能性。首先，我们假设了购物行为的嵌套式选择结构，该结构由顶层频率选择的三维决策组成。其次，我们考察了两种描述频率选择的模型，一种是Sheffi(1979)提出的有序Logit模型，另一种是基于二项分布的重复Logit模型。利用假日月度购物出行数据，验证了该嵌套结构的有效性，并与一般线性模型进行了比较，验证了该结构中两种选择模型的有效性。并提出了“部分约束O.L.模型”，它是“O.L.模型”的更有效的版本。
Trip generation model have generally received less attention than other aspects of travel decision making. This paper presents some explorations into structure of trip decisions for non-grocery shopping and a possibility of applying choice model for trip decisions. Firstly, we assume the nested-choice-structure of shopping behavior, which consists of three dimensional decisions with frequency choice at top level. Secondly, we examine two choice models to describe frequency choice; one is “Ordered Logit Model” by Sheffi (1979), another is “Repeated Logit Model” based upon binomial distribution. Using data of monthly shopping trips on holiday, we present the validity of this nested structure, and the effectiveness of two choice models in this structure, comparing with general linear model. And we propose “Partially Constrained O. L. Model” that is a more effective version of “O. L. Model”.