Transport Policy Studies' Review
Online ISSN : 2433-7366
Print ISSN : 1344-3348
Paper
Statistical Efficient Estimation of Transportation Demand Analysis using Stated Preferences Data
Koichi KURIYAMA
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JOURNAL FREE ACCESS

2000 Volume 3 Issue 2 Pages 002-008

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Abstract

While revealed preferences (RP) use actual data of travel behavior, stated preferences (SP) use the survey data of respondents. This study compares statistical efficiencies between RP and SP data and analyzes efficient estimation methods using Monte Carlo experiments. The results show that there is no significant difference in estimated parameters and willingness-to-pays between RP and SP data. However, the correlation between attributes of RP data tend to be high, and statistical efficiencies of RP tend to be lower than of SP. When SP data is designed to make a trade-off between travel routes, statistical efficiencies of SP can be higher than of RP.

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© 2000 Japan Transport Research Institute
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