Travel Mode Choice Based on Latent Variable Enriched Discrete Choice Model
Chen Yang, Wei Wang, Zhibin Li, Jian Lü
Abstract
Chen Yang, Wei Wang, Zhibin Li, Jian Lü
Abstract
In order to explore the decision-making mechanic whether travelers choose ground transit or bicycle, the individual, household and travel attributes of travelers are investigated firstly. Especially, behavior questions are designed in the questionnaire in order to measure travelers' preferences. Then, latent variable enriched discrete choice model is developed to describe the decision-making on choosing transit or bicycle, searching for the factors influencing the decision-making. Meanwhile, the causality between unobservable preferences and observable attributes of travelers is studied. Estimation results prove that latent variables could express the preferences, besides, latent variable enriched model has advantages in providing insights into the unobservable factors in mode choice.
OpenAlex reports 6 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
In order to explore the decision-making mechanic whether travelers choose ground transit or bicycle, the individual, household and travel attributes of travelers are investigated firstly. Especially, behavior questions are designed in the questionnaire in order to measure travelers' preferences. Then, latent variable enriched discrete choice model is developed to describe the decision-making on choosing transit or bicycle, searching for the factors influencing the decision-making. Meanwhile, the causality between unobservable preferences and observable attributes of travelers is studied. Estimation results prove that latent variables could express the preferences, besides, latent variable enriched model has advantages in providing insights into the unobservable factors in mode choice.
Key concepts: Unobservable, Latent variable, Discrete choice, Variable (mathematics), Latent variable model, Mode choice, Mode (computer interface), Econometrics