Multistate nonhomogeneous semi-markov model of daily activity type, timing, and duration sequence

T.-Y. Ma, C. Raux, E. Cornelis, I. Joly

Résultats de recherche: Contribution à un journal/une revueArticle

Résumé

Understanding travelers' daily travel activity pattern formation is an important issue for activity-based travel-demand analysis. The activity pattern formation concerns not only complex interrelations between household members and individuals' sociodemographic characteristics but also urban form and transport system settings. To investigate the effects of these attributes and the interrelationship between conducted activities, a multistate semi-Markov model is applied. The underlying assumption of the proposed model is that the state transition probability depends on its adjoining states. The statistical tests of significance affirm that the duration of activity depends not only on its beginning time of day but also on the duration of travel or activity previously conducted. An empirical study based on the Belgian mobility survey is conducted to estimate individuals' daily activity durations of different episodes and provides useful insight for the effects of sociodemographic characteristics, urban and transportation system settings on the activity pattern formation.
langue originaleAnglais
Pages (de - à)123-134
Nombre de pages12
journalTransportation Research Record (TRR)
Numéro de publication2134
Les DOIs
étatPublié - 1 janv. 2009

Empreinte digitale

Statistical tests

Citer ceci

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abstract = "Understanding travelers' daily travel activity pattern formation is an important issue for activity-based travel-demand analysis. The activity pattern formation concerns not only complex interrelations between household members and individuals' sociodemographic characteristics but also urban form and transport system settings. To investigate the effects of these attributes and the interrelationship between conducted activities, a multistate semi-Markov model is applied. The underlying assumption of the proposed model is that the state transition probability depends on its adjoining states. The statistical tests of significance affirm that the duration of activity depends not only on its beginning time of day but also on the duration of travel or activity previously conducted. An empirical study based on the Belgian mobility survey is conducted to estimate individuals' daily activity durations of different episodes and provides useful insight for the effects of sociodemographic characteristics, urban and transportation system settings on the activity pattern formation.",
author = "T.-Y. Ma and C. Raux and E. Cornelis and I. Joly",
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Multistate nonhomogeneous semi-markov model of daily activity type, timing, and duration sequence. / Ma, T.-Y.; Raux, C.; Cornelis, E.; Joly, I.

Dans: Transportation Research Record (TRR), Numéro 2134, 01.01.2009, p. 123-134.

Résultats de recherche: Contribution à un journal/une revueArticle

TY - JOUR

T1 - Multistate nonhomogeneous semi-markov model of daily activity type, timing, and duration sequence

AU - Ma, T.-Y.

AU - Raux, C.

AU - Cornelis, E.

AU - Joly, I.

N1 - Copyright 2010 Elsevier B.V., All rights reserved.

PY - 2009/1/1

Y1 - 2009/1/1

N2 - Understanding travelers' daily travel activity pattern formation is an important issue for activity-based travel-demand analysis. The activity pattern formation concerns not only complex interrelations between household members and individuals' sociodemographic characteristics but also urban form and transport system settings. To investigate the effects of these attributes and the interrelationship between conducted activities, a multistate semi-Markov model is applied. The underlying assumption of the proposed model is that the state transition probability depends on its adjoining states. The statistical tests of significance affirm that the duration of activity depends not only on its beginning time of day but also on the duration of travel or activity previously conducted. An empirical study based on the Belgian mobility survey is conducted to estimate individuals' daily activity durations of different episodes and provides useful insight for the effects of sociodemographic characteristics, urban and transportation system settings on the activity pattern formation.

AB - Understanding travelers' daily travel activity pattern formation is an important issue for activity-based travel-demand analysis. The activity pattern formation concerns not only complex interrelations between household members and individuals' sociodemographic characteristics but also urban form and transport system settings. To investigate the effects of these attributes and the interrelationship between conducted activities, a multistate semi-Markov model is applied. The underlying assumption of the proposed model is that the state transition probability depends on its adjoining states. The statistical tests of significance affirm that the duration of activity depends not only on its beginning time of day but also on the duration of travel or activity previously conducted. An empirical study based on the Belgian mobility survey is conducted to estimate individuals' daily activity durations of different episodes and provides useful insight for the effects of sociodemographic characteristics, urban and transportation system settings on the activity pattern formation.

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