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Data · dataset · 2006

The Effects of Acceptance of Real-time Freeway Information on Drivers\' Travel Behavior

Listed in Harvard Dataverse

To explore the effects of acceptance of information and different types of route information on freeway drivers’ enroute switching behavior, this paper used two stage research methods.

Description

First, this paper applied “Structural Equation Modeling (SEM)” to verify the latent variables that will positively or negatively affect drivers’ enroute switching intention and explore the causal effect between them. Then “Ordered Probit Model (OPM)” method was used to confirm whether latent variables and types of route information will affect drivers’ enroute switching behavior in the stated congestion scenarios.

The research subjects were freeway drivers traveling between Keelung and Hsinchu City, and 528 valid questionnaires were collected. The results of SEM showed that all research hypotheses have been confirmed. The empirical results reveal that drivers’ enroute switching behavior would be motivated by providing more detailed information on the alternative route.

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The improvement of the route information contents may help the traffic management agency to implement the strategies of congestion management.

Links

Provenance · 1 source records, 5 field assertions
SourceKeyLast seenRaw
Harvard Dataversedoi:10.6141/TW-SRDA-E94009-112 d agoJSON v1
FieldAssertionExtractorEvidence
created_datesource · Harvard Dataverseconnector:dataverse@1.0.0
descriptionsource · Harvard Dataverseconnector:dataverse@1.0.0/description
publication_datesource · Harvard Dataverseconnector:dataverse@1.0.0
titlesource · Harvard Dataverseconnector:dataverse@1.0.0/name
updated_datesource · Harvard Dataverseconnector:dataverse@1.0.0