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Title: 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 toward a more realistic representation of individuals' decision behaviour, this paper presents a new copula-based joint model of activity start time and duration. 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. Since the activity type has a non-trivial impact on its start time and duration, we limit our focus to discretionary activities in this study. 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. Furthermore, the significance of the estimated copula parameters confirms the existence of unobserved shared factors between the two considered activity attributes, which entails the use of joint modelling scheme.

Authors:
Publication Date:
Research Org.:
Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Org.:
USDOE
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

None, None. 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.
None, None. Activity start time and duration: incorporating regret theory into joint discrete–continuous models. United States. doi:10.1080/23249935.2018.1440261.
None, None. Thu . "Activity start time and duration: incorporating regret theory into joint discrete–continuous models". United States. doi: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 = {None, None},
abstractNote = {Activity start time and duration decisions are two key elements of activity-travel behaviour. As an effort toward a more realistic representation of individuals' decision behaviour, this paper presents a new copula-based joint model of activity start time and duration. 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. Since the activity type has a non-trivial impact on its start time and duration, we limit our focus to discretionary activities in this study. 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. Furthermore, the significance of the estimated copula parameters confirms the existence of unobserved shared factors between the two considered activity attributes, which entails the use of joint modelling scheme.},
doi = {10.1080/23249935.2018.1440261},
journal = {Transportmetrica A: Transport Science},
number = 9,
volume = 14,
place = {United States},
year = {2018},
month = {2}
}

Journal Article:
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Table 1 Table 1: Summary statistics of the respondents’ key characteristics

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    Figures/Tables have been extracted from DOE-funded journal article accepted manuscripts.