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Accelerating Discoveries in Traffic Science

Accelerating Discoveries in Traffic Science

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PUBLISHED
30.10.2023
DOI
https://doi.org/10.7307/ptt.v35i5.259
ISSUE
2023 (Vol 35), Issue 5
LICENSE
Copyright (c) 2024 Tibor Sipos
Creative Commons 4.0 logo
This work is licensed under a
Creative Commons Attribution-NonCommercial-
NoDerivatives 4.0 International License.

Evaluation of Stated Preference Surveys with Statistical Methods

Authors:Tibor Sipos

Abstract

In this paper, the author investigated the stated preference survey in transport modelling. The research was conducted to ensure that the best fractional orthogonal design of stated preference paired comparison survey would not increase the error or uncertainty in transport-related decision modelling. The research was conducted based on artificial Monte Carlo simulated respondents, and the results were assessed with standard mathematical-statistical tools. Although the assessment should have resulted in 0% errors, according to our 2,000 sample, a minor 5% of errors occurred. The problem to be investigated in this paper is that the best-designed survey could have some errors.

Keywords:stated preference survey, willingness to pay, monetary value of travel time

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