Discrete Choice Model with Structuralized Spatial Effects for Location Analysis
Discrete Choice Model with Structuralized Spatial Effects for Location Analysis
复制标题
用于位置分析的具有结构化空间效应的离散选择模型
DOI：
10.3141/1898-22
复制
发表时间：
2004
影响因子：
1.7
通讯作者：
A. Páez
中科院分区：
文献类型：
--
作者：
K. Miyamoto;Varameth Vichiensan;Naoki Shimomura;A. Páez
离散选择建模范式，特别是Logit模型，是多年来在交通应用领域不断发展和完善的研究课题。然而，建模位置选择与建模交通选择的不同之处在于，使用了地理参考数据，从而提供了特定的空间选择。提出了一个离散选择模型，系统地描述了选择过程中的空间影响。模型的效用函数用确定性和误差分量的自回归表达式表示，并参考三种备选模型进行评估：标准Logit模型、具有自回归确定性项的Logit模型和具有自回归误差项的混合Logit模型。文中给出了两种应用：一种是模拟数据，另一种是日本仙台的实际数据。与三种参考模型相比，所提出的模型具有更好的性能。
The discrete choice modeling paradigm and in particular the logit model are research topics that have been continuously developed and refined for years in the field of transportation applications. Modeling locational choices, however, differ from modeling transportation choices in that geographically referenced data are used and thereby give specifically spatial choices. A discrete choice model with a systematic specification of the spatial influences in the choice process is presented. The utility function of the model is specified with autoregressive expressions for the deterministic and error components, and the model is evaluated with reference to three alternative models: the standard logit model, a logit model with an autoregressive deterministic term, and the mixed logit model with autoregressive error terms. Two applications are presented: one with simulated data and another with real data for the analysis of location choice in Sendai, Japan. The proposed model shows an improved performance over the three reference models.