A shared frailty semi-parametric markov renewal model for travel and activity time-use pattern analysis
Tai-Yu Ma (),
Iragaël Joly and
Charles Raux ()
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Tai-Yu Ma: LET - Laboratoire d'économie des transports - UL2 - Université Lumière - Lyon 2 - ENTPE - École Nationale des Travaux Publics de l'État - CNRS - Centre National de la Recherche Scientifique
Charles Raux: LET - Laboratoire d'économie des transports - UL2 - Université Lumière - Lyon 2 - ENTPE - École Nationale des Travaux Publics de l'État - CNRS - Centre National de la Recherche Scientifique
Working Papers from HAL
Abstract:
This study investigates the influence of observed explanatory factors and unobserved random effect (heterogeneity) on episode durations of travel-activity chain. A shared frailty semiparametric proportional hazard model is proposed to estimate the transition hazard of travel/activity states. The proposed model is applied on the travel and activity episode duration analysis during evening work-to-home commute using the household travel survey data collected in the city of Lyon in France in 2005-2006. The empirical results provide useful insights for the determinants of travel and activity episode durations for evening work-to-home commute.
Keywords: time-use; activity duration; Markov renewal model; shared frailty; heterogeneity (search for similar items in EconPapers)
Date: 2010-04-26
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