A shared frailty semi-parametric markov renewal model for travel and activity time-use pattern analysis

Tai-Yu Ma, Iragaël Joly, Charles Raux

Research output: Contribution to conferencePaperpeer-review

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.
Original languageEnglish
Number of pages19
Publication statusPublished - 2010
Externally publishedYes
Event12th World Conference on Transport Research - Lisbon, Portugal
Duration: 11 Jul 201015 Jul 2010

Conference

Conference12th World Conference on Transport Research
Country/TerritoryPortugal
CityLisbon
Period11/07/1015/07/10

Keywords

  • time-use
  • activity duration
  • Markov renewal model
  • shared frailty
  • heterogeneity

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