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http://dx.doi.org/10.7470/jkst.2014.32.5.531

A Study on Data Preprocessing for the Activity-Travel Simulator: A Case of FEATHERS Seoul  

Cho, Sungjin (Hasselt University IMOB)
Hwang, Jeong Hwan (Department of Geography, Kyung Hee University)
Bellemans, Tom (Hasselt University IMOB)
Kochan, Bruno (Hasselt University IMOB)
Lee, Won Do (Department of Geography, Kyung Hee University)
Choi, Keechoo (Department of Transportation Systems Engineering, Ajou University)
Joh, Chang-Hyeon (Department of Geography, Kyung Hee University)
Publication Information
Journal of Korean Society of Transportation / v.32, no.5, 2014 , pp. 531-543 More about this Journal
Abstract
Research on activity-based travel demand forecasting and activity-travel simulator has received an international attention for the last two decades. Ways to develop the activity-based simulator may be manifold. It is obvious that importing an existing simulator that has been proven internationally likely reduces the development cost and the risk of failure. By definition of the activity-based approach, however, the details of an activity-based simulator inevitably relies on particular social, economic and cultural characteristics of the society where the simulator is developed. When importing such a simulator from overseas, the researcher should be aware of the importance of tuning the system for the society to which the imported system is applied. There are many potential works on this, including for example the tuning of data structure that is likely different form of the original system. The authors are yet aware of certain research on those. The current paper aims to report the result of transforming the input data for applying the existing activity-travel simulator to Seoul. The paper first introduces FEATHERS that was developed in Belgium having Albatross which is the core of system. FEATHERS Seoul that is under development and modified version of the original FEATHERS is briefly described and the related problems are discussed. The paper then explored to resolve and to alleviate such problems.
Keywords
activity-based approach; activity-travel simulator; FEATHERS Seoul; input data; Seoul metropolitan area; travel demand;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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1 Bellemans T., Kochan B., Janssens D., Wets G., Arentze T., Timmermans H.J.P. (2010), Implementation framework and development trajectory of FEATHERS activity-based simulation platform, Transportation Research Record, 2175, 111-119.
2 Bhat C.R., Guo J.Y., Srinivasan S., Sivakumar A. (2004), A Comprehensive Econometric Micro-simulator for Daily Activity-travel Patterns (CEMDAP), Paper presented at the 83rd Annual Meeting of TRB, Washington D.C.
3 Devore J.L. (2000), Probability and Statistics for Engineering and the Sciences, 5th ed. Duxbury, Pacific Grove, CA.
4 Doherty S.T. (2003), Should we abandon activity type analysis? Paper presented at the 10th International Conference on Travel Behavior Research, Lucerne.
5 Kochan B., Bellemans T., Cools M., Janssens D., Wets G. (2011), An estimation of total vehicle travel reduction in the case of telecommuting, Detailed analyses using an activity-based modeling approach, Paper presented at European Transportation Conference, Glasgow.
6 Goulias K.G., Bhat C.R., Pendyala R.M., Chen Y., Paleti R., Konduri K.C., Lei T., Tang D., Yoon S.Y., Huang G., Hu H.H. (2012), Simulator of Activities, Greenhouse Emissions, Networks and Travel (SimAGENT) in Southern California, Paper presented at the 91st Annual Meeting of TRB, Washington D.C.
7 Guo J.Y., Bhat C.R. (2007), Population synthesis for microsimulating travel behavior, Transportation Research Record, 2014, 92-101.
8 Knapen L., Kochan B., Bellemans T., Janssens D., Wets G. (2012), Using activity-based modeling to predict spatial and temporal power demand of electric vehicles in Flanders, Belgium, Transportation Research Record, 2287, 146-154.
9 Lee B.J., Lee C.Y., Kim J.K. (2011), Mobility management for sustainable urban transportation policy paradigm (지속가능한 도시교통정책 패러다 임 모빌리티 매니지먼트), The 64th Conference of Korean Society of Transportation, Korean Society of Transportation, 177-193. (in Korean)
10 Lee W.D., Joh C.H., Cho S., Kochan B. (2014), Issues in Feathers application in the Seoul Metropolitan Area, Data Science and Simulation in Transportation Research, IGI, 71-85.
11 Lim G.G., Kim S.G., Jung S.B. (2013), Activity-based approaches for travel demand modeling: Reviews on developments and implementations, Journal of the Korean Society of Civil Engineers, 33, 719-727. (in Korean)   과학기술학회마을   DOI   ScienceOn
12 Park J.Y., Lee J.S., Kim Y.H., You J.B. (2012), A Fundamental Study for Analyzing Future Human Mobility (2012-24), The Korea Transport Institute. (in Korean)
13 Pinjari A.R., Bhat C.R. (2010), Activity-based travel demand analysis, in A. de Palma, R. Lindsey, E. Quinet and R. Vickerman (eds.), Handbook of Transport Economics, Chapter 10, Edward Elgar Publishing, 213-248.
14 Pirdavani A., Brijs T., Bellemans T., Kochan B., Wets G. (2012), Application of different exposure measures in developing planning-level zonal crash prediction models, Transportation Research Record, 2280, 145-153.
15 Pritchard D.R., Miller E.J. (2012), Advances in Population Synthesis: Fitting Many Attributes per Agent and Fitting to Household and Person Margins Simultaneously, Transportation, 39(3), 685-704.   DOI
16 Arentze T.A., Timmermans H.J.P. (2012), Travel demand modelling: Conceptual developments and perspectives, Transportation Letters, 4, 85-92.
17 Sikder S., Pinjari A.R., Srinivasan S., Nowrouzian R. (2013), Spatial Transferability of Travel Forecasting Models: A Review and Synthesis, International Journal of Advances in Engineering Sciences and Applied Mathematics, 5(2-3), 104-128.   DOI
18 Timmermans H.J.P., Arentze T.A., Joh C.H. (2002), Analysing space-time behaviour: New approaches to old problems, Progress in Human Geography, 26, 175-190.   DOI   ScienceOn
19 Arentze T.A., Hofman F., van Mourik H., Timmermans H.J.P. (2000), Albatross: Multi-agent rule based model of activity pattern decisions, Transportation Research Record, 1706, 136-144.
20 Arentze T.A., Hofman F., van Mourik H., Timmermans H.J.P. (2002), Spatial Transferability of the Albatross Model System: Empirical Evidence from Two Case Studies, Transportation Research Record: Journal of the Transportation Research Board, 1805, 1-7.
21 Ye X., Konduri K.C., Pendyala R.M., Sana B., Waddell B. (2009), A methodology to match distributions of both household and person attributes in the generation of synthetic populations, Paper presented at the 88th Annual Meeting of TRB, Washington D.C.