Using partial site aggregation to reduce bias in random utility travel cost models
Using partial site aggregation to reduce bias in random utility travel cost models
复制标题
使用部分站点聚合来减少随机公用事业出行成本模型中的偏差
DOI：
10.1029/98wr02740
复制
发表时间：
1998
影响因子：
5.4
通讯作者：
P. Feather
中科院分区：
文献类型：
--
作者：
Frank Lupi;P. Feather
我们提出了一个“部分聚集”的战略，定义进入随机效用模型的选择集的娱乐场所。根据这项建议，最受欢迎的网站和将成为政策分析对象的网站作为个别网站进入选择集，而其余网站则被汇总为类似网站的群组。该计划平衡的愿望，包括所有潜在的替代网站的选择集与实际数据和建模约束。与完全聚集模型不同，我们的分析和实证应用表明，部分聚集方法合理地近似于非聚集模型的结果。部分聚合方法提供了具有聚合站点的模型的所有数据和计算优势，但不会受到与完全聚合模型相同程度的偏差的影响。
We propose a “partial aggregation” strategy for defining the recreation sites that enter choice sets in random utility models. Under the proposal, the most popular sites and sites that will be the subject of policy analysis enter choice sets as individual sites while remaining sites are aggregated into groups of similar sites. The scheme balances the desire to include all potential substitute sites in the choice sets with practical data and modeling constraints. Unlike fully aggregate models, our analysis and empirical applications suggest that the partial aggregation approach reasonably approximates the results of a disaggregate model. The partial aggregation approach offers all of the data and computational advantages of models with aggregate sites but does not suffer from the same degree of bias as fully aggregate models.