Document Type
Thesis
Date of Award
Fall 1-31-1995
Degree Name
Master of Science in Transportation - (M.S.)
Department
Executive Committee for the Interdisciplinary Program in Transportation
First Advisor
W. Patrick Beaton
Second Advisor
Kyriacos Mouskos
Third Advisor
Naomi G. Rotter
Abstract
This research quantifies the potential biases resulted from two different data generation methods used in transportation modeling: Revealed Preference (RP) and Stated Preference (SP) techniques. Revealed Preference technique is the conventional approach to generate data. It relies on observed or reported data of actual behavior. Stated preference technique is a new data generation method. It creates transportation scenarios using hypothetical data. Conventional studies favor the use of revealed reference. However, full description of advantages and weaknesses of using revealed preference technique is not available in literature, neither point-to-point comparison between stated preference and revealed preference techniques. This research contributes to the literature by demonstrating the relative magnitude of biases inherent to both approaches.
The method to explore approach-specific to generate data is simulation. The simulation work concentrates on biases found in RP and SP in the statistical estimation component, although biases also exist in the forecasting component. Simulation in RP case focuses on errors-in-variables; while, simulation in SP case concentrates on the internal design of the data matrix.
Based on the results from the simulations, the research points out the potential biases in two models used to forecast model shift behavior in New Jersey. The work concludes with a list of future research needs.
Recommended Citation
Chen, Qiuzi, "A comparison between revealed preference (RP) and stated preference (SP) based on results of simulations" (1995). Theses. 1178.
https://digitalcommons.njit.edu/theses/1178
