Statistical analysis of commuters' route, mode, and departure time flexibility

Fred Mannering, Soon Gwan Kim, Woodrow Barfield, Linda Ng

Research output: Contribution to journalArticlepeer-review

Abstract

This paper studies the effects of traffic information on Seattle-area commuters. Models of commuters' route-change frequency, the duration of traffic delay needed to induce a route change, and the influence of pre-trip traffic information on departure-time choice, mode choice, and route choice are estimated. Two modeling techniques are used in these estimations: an ordered logit probability approach and a Weibull duration model with a heterogeneity correction term. The findings of these model estimations provide important insights into how traveler information systems should be designed, implemented, and marketed.

Original languageEnglish (US)
Pages (from-to)35-47
Number of pages13
JournalTransportation Research Part C
Volume2
Issue number1
DOIs
StatePublished - Mar 1994

ASJC Scopus subject areas

  • Transportation
  • Automotive Engineering
  • Civil and Structural Engineering
  • Management Science and Operations Research

Fingerprint

Dive into the research topics of 'Statistical analysis of commuters' route, mode, and departure time flexibility'. Together they form a unique fingerprint.

Cite this