Khaddar, S and Saxena, S and Fatmi, MR and Pinjari, AR (2022) An Episode-Level Joint Model for Activity Engagement, Duration, and Destination Location Choice Decisions. In: Transportation Letters .
Full text not available from this repository.Abstract
This paper presents an episode-level activity generation and destination choice model. The model accommodates the occurrence of multiple episodes of an activity and captures interdependencies among travel choice dimensions that vary at the episode-level such as occurrence, duration, and destinations of episodes. A multiple discrete-continuous extreme value model with ordered preferences (MDCEV-OP) is adopted. This ordered preference extension of the modified MDCEV model imposes a restriction that the higher-numbered episodes do not occur without the occurrence of lower-numbered episodes. Further, destination accessibility from the destination choice utility is derived using a multinomial logit (MNL) model, which provides feedback to the MDCEV-OP through a logsum component. The findings of this study demonstrate the benefits of modeling activity engagement, duration, and destination at the granular level of episodes, including offering an enhanced behavioral realism of the model and the potential to improve forecasting accuracy and insights of activity-based models.
| Item Type: | Journal Article |
|---|---|
| Publication: | Transportation Letters |
| Publisher: | Taylor and Francis Ltd. |
| Additional Information: | The copyright for this article belongs to the Taylor and Francis Ltd. |
| Keywords: | Activity duration; Activity engagement; Choice model; Destination accessibility; Destination choice; Discrete/continuous; Episode-level activity generation; Joint models; Multiple discrete-continuous choice model; Multiple discrete-continuous extreme value models |
| Department/Centre: | Division of Mechanical Sciences > Civil Engineering |
| Date Deposited: | 10 Aug 2022 06:49 |
| Last Modified: | 10 Aug 2022 06:49 |
| URI: | https://eprints.iisc.ac.in/id/eprint/75805 |
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