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An Empirical Study of Parameter Estimation for Stated Preference Experimental Design
Joint Authors
Yang, Fei
Chen, Lin
Luo, Xia
Cheng, Yang
Ran, Bin
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-08-31
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
The stated preference experimental design can affect the reliability of the parameters estimation in discrete choice model.
Some scholars have proposed some new experimental designs, such as D-efficient, Bayesian D-efficient.
But insufficient empirical research has been conducted on the effectiveness of these new designs and there has been little comparative analysis of the new designs against the traditional designs.
In this paper, a new metro connecting Chengdu and its satellite cities is taken as the research subject to demonstrate the validity of the D-efficient and Bayesian D-efficient design.
Comparisons between these new designs and orthogonal design were made by the fit of model and standard deviation of parameters estimation; then the best model result is obtained to analyze the travel choice behavior.
The results indicate that Bayesian D-efficient design works better than D-efficient design.
Some of the variables can affect significantly the choice behavior of people, including the waiting time and arrival time.
The D-efficient and Bayesian D-efficient design for MNL can acquire reliability result in ML model, but the ML model cannot develop the theory advantages of these two designs.
Finally, the metro can handle over 40% passengers flow if the metro will be operated in the future.
American Psychological Association (APA)
Yang, Fei& Chen, Lin& Cheng, Yang& Luo, Xia& Ran, Bin. 2014. An Empirical Study of Parameter Estimation for Stated Preference Experimental Design. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1044153
Modern Language Association (MLA)
Yang, Fei…[et al.]. An Empirical Study of Parameter Estimation for Stated Preference Experimental Design. Mathematical Problems in Engineering No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-1044153
American Medical Association (AMA)
Yang, Fei& Chen, Lin& Cheng, Yang& Luo, Xia& Ran, Bin. An Empirical Study of Parameter Estimation for Stated Preference Experimental Design. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1044153
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1044153