Framework of Effective Sample Size Model for Stated Preference Experiment

被引：0
|
作者：
Zhu W. [1 ]
Yang J. [1 ]
机构：
[1] College of Architecture and Urban Planning, Tongji University, Shanghai
来源：
Tongji Daxue Xuebao/Journal of Tongji University | 2019年 / 47卷 / 11期
关键词：
Discrete choice model; Effective sample size; Experiment design; Parameter accuracy; Stated preference (SP);
D O I：
10.11908/j.issn.0253-374x.2019.11.018
中图分类号：
学科分类号：
摘要：
The stated preference (SP) method is a way to study people's preferences through experiment design, often implemented with discrete choice models to estimate the parameters. This paper focuses on deriving the effective sample size for SP experiments which guarantees accurate parameter estimations by proposing an easy-to-operate and comprehensive framework. By applying the framework on an empirical study, a linear model is estimated which reveals that the number of factors and levels, scale of parameters, sample size, and the experimental design strategy have significant impacts on the accuracy of parameters. The effective sample size estimation models of three design strategies are obtained, based on which some practical principles for SP experiment design are proposed. © 2019, Editorial Department of Journal of Tongji University. All right reserved.
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页码：1670 / 1675
页数：5
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