Departure-time choice and mode choice for nonwork trips alternative formulations of joint model systems

Constantinos A. Tringides, Xin Ye, Ram Pendyala

Research output: Contribution to journalArticle

18 Citations (Scopus)

Abstract

Modeling travel demand by time of day is gaining increasing attention in the practice of travel demand forecasting. The relationship between time-of-day (departure-time) choice and mode choice for nonwork trips is investigated. Two alternative causal structures are considered: one in which departure-time choice precedes mode choice and a second in which mode choice precedes departure-time choice. These two causal structures are analyzed in a recursive bivariate probit modeling framework that allows random error covariance. The estimation is performed separately for worker and nonworker samples drawn from the 1999 Southeast Florida Regional Household Travel Survey. For workers, model estimation results show that the causal structure in which departure-time choice precedes mode choice performs significantly better. For nonworkers, the reverse causal relationship, in which mode choice precedes departure-time choice, is found to be a more suitable joint modeling structure. These two findings can be reasonably explained from a travel behavior perspective and have important implications for advanced travel demand model development and application.

Original languageEnglish (US)
Pages (from-to)1-9
Number of pages9
JournalTransportation Research Record
Issue number1898
StatePublished - 2004
Externally publishedYes

Fingerprint

Random errors

ASJC Scopus subject areas

  • Civil and Structural Engineering

Cite this

Departure-time choice and mode choice for nonwork trips alternative formulations of joint model systems. / Tringides, Constantinos A.; Ye, Xin; Pendyala, Ram.

In: Transportation Research Record, No. 1898, 2004, p. 1-9.

Research output: Contribution to journalArticle

@article{c15836e1884548e0ac31167e3bf84f21,
title = "Departure-time choice and mode choice for nonwork trips alternative formulations of joint model systems",
abstract = "Modeling travel demand by time of day is gaining increasing attention in the practice of travel demand forecasting. The relationship between time-of-day (departure-time) choice and mode choice for nonwork trips is investigated. Two alternative causal structures are considered: one in which departure-time choice precedes mode choice and a second in which mode choice precedes departure-time choice. These two causal structures are analyzed in a recursive bivariate probit modeling framework that allows random error covariance. The estimation is performed separately for worker and nonworker samples drawn from the 1999 Southeast Florida Regional Household Travel Survey. For workers, model estimation results show that the causal structure in which departure-time choice precedes mode choice performs significantly better. For nonworkers, the reverse causal relationship, in which mode choice precedes departure-time choice, is found to be a more suitable joint modeling structure. These two findings can be reasonably explained from a travel behavior perspective and have important implications for advanced travel demand model development and application.",
author = "Tringides, {Constantinos A.} and Xin Ye and Ram Pendyala",
year = "2004",
language = "English (US)",
pages = "1--9",
journal = "Transportation Research Record",
issn = "0361-1981",
publisher = "US National Research Council",
number = "1898",

}

TY - JOUR

T1 - Departure-time choice and mode choice for nonwork trips alternative formulations of joint model systems

AU - Tringides, Constantinos A.

AU - Ye, Xin

AU - Pendyala, Ram

PY - 2004

Y1 - 2004

N2 - Modeling travel demand by time of day is gaining increasing attention in the practice of travel demand forecasting. The relationship between time-of-day (departure-time) choice and mode choice for nonwork trips is investigated. Two alternative causal structures are considered: one in which departure-time choice precedes mode choice and a second in which mode choice precedes departure-time choice. These two causal structures are analyzed in a recursive bivariate probit modeling framework that allows random error covariance. The estimation is performed separately for worker and nonworker samples drawn from the 1999 Southeast Florida Regional Household Travel Survey. For workers, model estimation results show that the causal structure in which departure-time choice precedes mode choice performs significantly better. For nonworkers, the reverse causal relationship, in which mode choice precedes departure-time choice, is found to be a more suitable joint modeling structure. These two findings can be reasonably explained from a travel behavior perspective and have important implications for advanced travel demand model development and application.

AB - Modeling travel demand by time of day is gaining increasing attention in the practice of travel demand forecasting. The relationship between time-of-day (departure-time) choice and mode choice for nonwork trips is investigated. Two alternative causal structures are considered: one in which departure-time choice precedes mode choice and a second in which mode choice precedes departure-time choice. These two causal structures are analyzed in a recursive bivariate probit modeling framework that allows random error covariance. The estimation is performed separately for worker and nonworker samples drawn from the 1999 Southeast Florida Regional Household Travel Survey. For workers, model estimation results show that the causal structure in which departure-time choice precedes mode choice performs significantly better. For nonworkers, the reverse causal relationship, in which mode choice precedes departure-time choice, is found to be a more suitable joint modeling structure. These two findings can be reasonably explained from a travel behavior perspective and have important implications for advanced travel demand model development and application.

UR - http://www.scopus.com/inward/record.url?scp=19944368424&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=19944368424&partnerID=8YFLogxK

M3 - Article

SP - 1

EP - 9

JO - Transportation Research Record

JF - Transportation Research Record

SN - 0361-1981

IS - 1898

ER -