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

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

doi:10.1016/0968-090X(94)90018-3

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

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

Civil and Urban Engineering

Research output: Contribution to journal › Article › peer-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 language	English (US)
Pages (from-to)	35-47
Number of pages	13
Journal	Transportation Research Part C
Volume	2
Issue number	1
DOIs	https://doi.org/10.1016/0968-090X(94)90018-3
State	Published - Mar 1994

ASJC Scopus subject areas

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

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10.1016/0968-090X(94)90018-3

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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.",

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AB - 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.

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

Abstract

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