Citation

Enam A, Auld J, Rashidi TH. Transp. Lett. 2024; 16(3): 279-290.

Copyright

(Copyright © 2024, Maney Publishing, Publisher Informa - Taylor and Francis Group)

DOI

10.1080/19427867.2023.2186609

PMID

unavailable

Abstract

Unlike driving alone, public transportation allows one to engage in extraneous activities while traveling - often referred to as travel-based multitasking. Research involving travel-based multitasking often relies on either generic (i.e. not related to an actual trip) or revealed (i.e. related to an executed trip) data. The data collected for this study provided a unique opportunity to compare the generic and trip-specific preferences while traveling on public transportation. To this end, the study develops two integrated choice and latent variable models with multiple discrete-continuous (MDC) kernels to simultaneously model the activity selection and the time allocation for generic and trip-specific data, respectively. According to the results the trip-specific data could identify more nuances in the travel-based multitasking behavior than the generic data. The heterogeneity identified by the developed models will be helpful for the transit operators in providing appropriate facilities (e.g. internet access, reading lights) along various transit corridors.

Language: en

Keywords

attitude toward public transportation; Integrated choice and latent variable (ICLV) models; Latent variable; multiple discrete-continuous; Multitasking; the value of travel time (VOTT)