Activity start time and duration: incorporating regret theory into joint discrete–continuous models
Abstract
Activity start time and duration decisions are two key elements of activity-travel behaviour. As an effort towards a more realistic representation of individuals’ decision behaviour, this paper presents a new copula-based joint model of activity start time and duration. In this work, we incorporate the regret theory into the joint modelling framework, which assumes that individuals tend to avoid the situation where non-chosen alternatives outperform the chosen one in one or more attributes. The proposed joint model comprises a hybrid utility-regret model as the discrete component to estimate activity start time and a hazard duration model as the continuous component to estimate activity duration. The comparative analysis of estimation results reveals that the proposed structure is statistically superior to the utility-based joint model and independent models. We also found that applying the regret-based decision rule for variables of travel time and travel time variability significantly improves the model.
- Authors:
-
- Univ. of Illinois, Chicago, IL (United States)
- Argonne National Lab. (ANL), Argonne, IL (United States)
- (Kouros) [Univ. of Illinois, Chicago, IL (United States)
- Publication Date:
- Research Org.:
- Argonne National Lab. (ANL), Argonne, IL (United States)
- Sponsoring Org.:
- USDOE Laboratory Directed Research and Development (LDRD) Program; USDOE Office of Science (SC)
- OSTI Identifier:
- 1465504
- Grant/Contract Number:
- AC02-06CH11357
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Transportmetrica A: Transport Science
- Additional Journal Information:
- Journal Volume: 14; Journal Issue: 9; Journal ID: ISSN 2324-9935
- Publisher:
- Informa PLC - Taylor & Francis Group
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 42 ENGINEERING; copula; activity duration; activity start time; discrete-continuous joint model; hybrid utility-regret
Citation Formats
Golshani, Nima, Shabanpour, Ramin, Auld, Joshua, and Mohammadian, Abolfazl. Activity start time and duration: incorporating regret theory into joint discrete–continuous models. United States: N. p., 2018.
Web. doi:10.1080/23249935.2018.1440261.
Golshani, Nima, Shabanpour, Ramin, Auld, Joshua, & Mohammadian, Abolfazl. Activity start time and duration: incorporating regret theory into joint discrete–continuous models. United States. https://doi.org/10.1080/23249935.2018.1440261
Golshani, Nima, Shabanpour, Ramin, Auld, Joshua, and Mohammadian, Abolfazl. Thu .
"Activity start time and duration: incorporating regret theory into joint discrete–continuous models". United States. https://doi.org/10.1080/23249935.2018.1440261. https://www.osti.gov/servlets/purl/1465504.
@article{osti_1465504,
title = {Activity start time and duration: incorporating regret theory into joint discrete–continuous models},
author = {Golshani, Nima and Shabanpour, Ramin and Auld, Joshua and Mohammadian, Abolfazl},
abstractNote = {Activity start time and duration decisions are two key elements of activity-travel behaviour. As an effort towards a more realistic representation of individuals’ decision behaviour, this paper presents a new copula-based joint model of activity start time and duration. In this work, we incorporate the regret theory into the joint modelling framework, which assumes that individuals tend to avoid the situation where non-chosen alternatives outperform the chosen one in one or more attributes. The proposed joint model comprises a hybrid utility-regret model as the discrete component to estimate activity start time and a hazard duration model as the continuous component to estimate activity duration. The comparative analysis of estimation results reveals that the proposed structure is statistically superior to the utility-based joint model and independent models. We also found that applying the regret-based decision rule for variables of travel time and travel time variability significantly improves the model.},
doi = {10.1080/23249935.2018.1440261},
journal = {Transportmetrica A: Transport Science},
number = 9,
volume = 14,
place = {United States},
year = {2018},
month = {2}
}
Web of Science
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Figures / Tables found in this record: