ABSTRACT

This paper developed a two-stage modeling framework for analyzing residential and work location choices with probabilistic choice sets. In the first stage, a household (or a worker) was assumed to select a neighborhood (such as central business district, urban, suburban etc.) to live (or work). In the second stage, the household (or worker) was assumed to choose a specific zone conditional on the selected neighborhood. The neighborhood choice model component takes the form of Manski model with latent choice sets. The model was used to analyze residential and work location decisions in Nashville, Tennessee. The model results indicate significant heterogeneity in the consideration probability of different neighborhood alternatives both in the residential and work location choices. The latent class neighborhood models were found to outperform standard MNL models that assume all decision-makers consider the universal choice set in their decision-making.

摘要

本文开发了一个两阶段建模框架，用于使用概率选择集分析住宅和工作地点选择。在第一阶段，假设一个家庭（或一个工人）选择一个社区（例如中央商务区、城市、郊区等）.) 生活（或工作）。在第二阶段，假设住户（或工人）以所选社区为条件选择特定区域。邻域选择模型组件采​​用带有潜在选择集的 Manski 模型的形式。该模型用于分析田纳西州纳什维尔的住宅和工作地点决策。模型结果表明，在住宅和工作地点选择中，不同社区替代方案的考虑概率存在显着异质性。发现潜在类邻域模型优于标准 MNL 模型，该模型假设所有决策者都在其决策中考虑了通用选择集。