Joint modeling analysis of trip-chaining behavior on round-trip commute in the context of Xiamen, China

Zhizhou Wu, Xin Ye

Research output: Contribution to journalArticle

13 Scopus citations

Abstract

This paper investigates the relationship between commuters' trip-chaining behaviors on their round-trip commutes: from home to work and from work back home. Two types of joint econometric models - the bivariate ordered probit model and the bivariate Poisson regression model-are developed on the basis of household travel survey data collected from Xiamen, China, in 2003. Nonwork trip frequencies and round-trip commutes are considered as two interrelated dependent variables, whereas independent variables in models include commuters' age, gender, occupation, and residency status; household composition; commute mode choice; and transit accessibility at the workplace. The error correlations in both types of models are estimated to be positive, which strongly supports the existence of a promotive relationship between trip-chaining behaviors on round-trip commutes. However, the conjecture of a substitutive relationship between round-trip commutes is not supported by the joint models. In addition, it is found that automobile use for commuting plays a highly positive role in commuters' trip-chaining behaviors for both directions of a round-trip commute.

Original languageEnglish (US)
Pages (from-to)62-69
Number of pages8
JournalTransportation Research Record
Issue number2076
DOIs
StatePublished - Dec 1 2008

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Mechanical Engineering

Fingerprint Dive into the research topics of 'Joint modeling analysis of trip-chaining behavior on round-trip commute in the context of Xiamen, China'. Together they form a unique fingerprint.

  • Cite this