Tahlyan, D and Balusu, SK and Sheela, PV and Maness, M and Pinjari, AR (2019) An empirical assessment of the impact of incorporating attitudinal variables on model transferability. [Book Chapter]
Full text not available from this repository.Abstract
This chapter focuses on assessing the benefits of incorporating attitudinal and perception variables for the spatial transferability of travel forecasting models. Specifically, this study compares the spatial transferability, in an empirical setting, for three model structures: 1) multinomial logit (MNL), 2) integrated choice and latent variable (ICLV) models and 3) MNL with factor scores. Transferability is assessed by applying the models estimated in one spatial context to another spatial context. The data utilized for assessing the spatial transferability in the three contexts comes from a survey conducted among 1148 respondents across the United States - primarily the Midwest and Southeast. In the survey, respondents were asked about their preferred intended use of autonomous vehicles, along with personal and household characteristics, current travel characteristics, and perceptions about benefits and concerns related to autonomous vehicles. The study found that the ICLV models estimated had similar transferability to fixed coefficient MNL models with no improvement in transferability observed. But it was found that additional information that could lead to improvement of transferability was found when factor scores were directly incorporated into a MNL model. The chapter concludes with a discussion of possible transferability implications for ICLV model use. © 2020 Elsevier Inc. All rights reserved.
| Item Type: | Book Chapter |
|---|---|
| Publication: | Mapping the Travel Behavior Genome |
| Publisher: | Elsevier |
| Additional Information: | Copyright of this chapter belongs to Elsevier Inc. |
| Department/Centre: | Division of Mechanical Sciences > Centre for Sustainable Technologies (formerly ASTRA) Division of Mechanical Sciences > Civil Engineering |
| Date Deposited: | 09 Apr 2021 09:20 |
| Last Modified: | 09 Apr 2021 09:20 |
| URI: | http://eprints.iisc.ac.in/id/eprint/65099 |
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