An evidence based analysis of orthogonal and efficient experimental designs for transportation stated preference surveys

dc.contributor.authorHayes, G.
dc.date.accessioned2021-11-02T09:24:40Z
dc.date.available2021-11-02T09:24:40Z
dc.date.issued2021
dc.descriptionPapers presented virtually at the 39th International Southern African Transport Conference on 05 -07 July 2021
dc.description.abstractDiscrete choice models have had wide application for mode choice simulation as part of the multi-modal four-step transport demand modelling process in South Africa. For all models since 2000, urban commuter modal trip preference data for the mode choice sub-model has been collected using stated preference (SP) surveys. The SP experimental designs have been fractional factorial types (FFD). The SP data and the subsequent mode choice models were directly dependent on the soundness of the underlying experimental designs. This paper presents a review of the experimental designs of four South Africa metropolitan SP survey case studies to derive empirical evidence of the efficiency of these designs as measured by the D-error. The analysis showed there were several inadequacies in the experimental designs. Furthermore, the multinomial logit (MNL) models estimated from the SP data for each metro highlighted the shortcomings of the experimental designs. The paper illustrates that there is enough insight into prior estimates of the attribute parameters for use in efficient experimental designs and that these designs provide improved D-error measures over the equivalent orthogonal fractional factorial designs. The paper recommends that efficient designs be used in the future for all SP transport applications.
dc.format.extent17 pages
dc.format.mediumPDF
dc.identifier.urihttp://hdl.handle.net/2263/82412
dc.language.isoen
dc.publisherSouthern African Transport Conference 2021
dc.rightsSouthern African Transport Conference 2021
dc.subjectstated preference (SP) experimental designs
dc.subjectSP data
dc.titleAn evidence based analysis of orthogonal and efficient experimental designs for transportation stated preference surveys
dc.typeArticle

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