Monte Carlo Simulation of Adaptive Stated Preference Survey with a case study: Effects of Aggregate Mode Shares on Individual Mode Choice
AbstractMonte Carlo experiments are used to study the unbiasedness of several common random utility models for a proposed adaptive stated preference survey. This survey is used to study the influence of the knowledge of existing mode shares on travelers mode choice. Furthermore, the survey is applied to a sample of subjects selected from the University of Minnesota. The results indicate that the presence of mode shares in the mode choice model does influence the decision of travelers. The estimates are found to be biased by the Monte Carlo experiments.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by University of Minnesota: Nexus Research Group in its series Working Papers with number 000110.
Date of creation: 2012
Date of revision:
Publication status: Published in working paper
Contact details of provider:
Postal: Dept. of Civil Engineering, 500 Pillsbury Drive SE, Minneapolis, MN 55455
Phone: +01 (612) 625-6354
Fax: +01 (612) 626-7750
Web page: http://nexus.umn.edu
More information through EDIRC
mode choice; mode shares; mixed logit; stated preference.;
Find related papers by JEL classification:
- R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion
- C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
- C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
This paper has been announced in the following NEP Reports:
- NEP-ALL-2012-08-23 (All new papers)
- NEP-DCM-2012-08-23 (Discrete Choice Models)
- NEP-ECM-2012-08-23 (Econometrics)
- NEP-ORE-2012-08-23 (Operations Research)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Train,Kenneth E., 2009.
"Discrete Choice Methods with Simulation,"
Cambridge University Press, number 9780521747387.
- Sivaramakrishnan Srinivasan & Chandra Bhat, 2005. "Modeling household interactions in daily in-home and out-of-home maintenance activity participation," Transportation, Springer, vol. 32(5), pages 523-544, 09.
- John Gliebe & Frank Koppelman, 2002. "A model of joint activity participation between household members," Transportation, Springer, vol. 29(1), pages 49-72, February.
- Juan Antonio Carrasco & Bernie Hogan & Barry Wellman & Eric J Miller, 2008. "Collecting social network data to study social activity-travel behavior: an egocentric approach," Environment and Planning B: Planning and Design, Pion Ltd, London, vol. 35(6), pages 961-980, November.
- Nebiyou Tilahun & David Levinson, 2006.
"Work and Home Location: Possible Role of Social Networks,"
201102, University of Minnesota: Nexus Research Group.
- Tilahun, Nebiyou & Levinson, David, 2011. "Work and home location: Possible role of social networks," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(4), pages 323-331, May.
- Elenna R Dugundji & L�szl� Guly�s, 2008. "Sociodynamic discrete choice on networks in space: impacts of agent heterogeneity on emergent outcomes," Environment and Planning B: Planning and Design, Pion Ltd, London, vol. 35(6), pages 1028-1054, November.
- John Gliebe & Frank Koppelman, 2005. "Modeling household activity–travel interactions as parallel constrained choices," Transportation, Springer, vol. 32(5), pages 449-471, 09.
- Elenna Dugundji & Antonio P�ez & Theo Arentze, 2008. "Social networks, choices, mobility, and travel," Environment and Planning B: Planning and Design, Pion Ltd, London, vol. 35(6), pages 956-960, November.
- Hsiao,Cheng, 2003.
"Analysis of Panel Data,"
Cambridge University Press, number 9780521818551.
- Christopher F Baum, 2009. "An Introduction to Stata Programming," Stata Press books, StataCorp LP, number isp, March.
- Scott, Darren M. & Kanaroglou, Pavlos S., 2002. "An activity-episode generation model that captures interactions between household heads: development and empirical analysis," Transportation Research Part B: Methodological, Elsevier, vol. 36(10), pages 875-896, December.
- K W Axhausen, 2008. "Social networks, mobility biographies, and travel: survey challenges," Environment and Planning B: Planning and Design, Pion Ltd, London, vol. 35(6), pages 981-996, November.
- Frank Goetzke & Tilmann Rave, 2011. "Bicycle Use in Germany: Explaining Differences between Municipalities with Social Network Effects," Urban Studies, Urban Studies Journal Limited, vol. 48(2), pages 427-437, February.
- Walker, Joan L. & Ehlers, Emily & Banerjee, Ipsita & Dugundji, Elenna R., 2011. "Correcting for endogeneity in behavioral choice models with social influence variables," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(4), pages 362-374, May.
- Denzil G. Fiebig & Michael P. Keane & Jordan Louviere & Nada Wasi, 2010. "The Generalized Multinomial Logit Model: Accounting for Scale and Coefficient Heterogeneity," Marketing Science, INFORMS, vol. 29(3), pages 393-421, 05-06.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (David Levinson).
If references are entirely missing, you can add them using this form.