Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 32578
A Study of Mode Choice Model Improvement Considering Age Grouping

Authors: Young-Hyun Seo, Hyunwoo Park, Dong-Kyu Kim, Seung-Young Kho


The purpose of this study is providing an improved mode choice model considering parameters including age grouping of prime-aged and old age. In this study, 2010 Household Travel Survey data were used and improper samples were removed through the analysis. Chosen alternative, date of birth, mode, origin code, destination code, departure time, and arrival time are considered from Household Travel Survey. By preprocessing data, travel time, travel cost, mode, and ratio of people aged 45 to 55 years, 55 to 65 years and over 65 years were calculated. After the manipulation, the mode choice model was constructed using LIMDEP by maximum likelihood estimation. A significance test was conducted for nine parameters, three age groups for three modes. Then the test was conducted again for the mode choice model with significant parameters, travel cost variable and travel time variable. As a result of the model estimation, as the age increases, the preference for the car decreases and the preference for the bus increases. This study is meaningful in that the individual and households characteristics are applied to the aggregate model.

Keywords: Age grouping, aging, mode choice model, multinomial logit model.

Digital Object Identifier (DOI):

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1545


[1] I. K. Kim, K. S. Han, and H. J. Bang, “Suggesting a Demand Forecasting Technique Explicitly Considering Transfers in Light Rail Transit Project Analysis (Translation Journals style),” Journal of Korean Society of Transportation, Vol.24 No.3, May, 2006, pp. 197-205.
[2] S. N. Kwon, “A study on the factors influencing traveler's mode choice (Translation Journals style),” Dissertation of Master Degree, Yonsei University, 2007.
[3] Statistics Korea, “Population Projections for Korea (2015~2065),” (, 20/02/2017 reviewed.
[4] D. McFadden, “Conditional logit analysis of qualitative choice behavior,” 1973.
[5] M. Ben-Akiva and S. R. Lerman, Discrete Choice Analysis: Theory and Application to Travel Demand, The MIT press, Cambridge, Massachusetts, 1987.