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Design and Implementation of Trip Generation Model Using the Bayesian Networks  

Kim, Hyun-Gi (교통개발연구원)
Lee, Sang-Min (교통개발연구원)
Kim, Kang-Soo (교통개발연구원)
Publication Information
Journal of Korean Society of Transportation / v.22, no.7, 2004 , pp. 79-90 More about this Journal
Abstract
In this study, we applied the Bayesian Networks for the case of the trip generation models using the Seoul metropolitan area's house trip survey Data. The household income was used for the independent variable for the explanation of household size and the number of cars in a household, and the relationships between the trip generation and the households' social characteristics were identified by the Bayesian Networks. Furthermore, trip generation's characteristics such as the household income, household size and the number of cars in a household were also used for explanatory variables and the trip generation model was developed. It was found that the Bayesian Networks were useful tool to overcome the problems which were in the traditional trip generation models. In particular the various transport policies could be evaluated in the very short time by the established relationships. It is expected that the Bayesian Networks will be utilized as the important tools for the analysis of trip patterns.
Keywords
Bayesian Networks; Bayesian Statistics Theory; Dependent Category Analysis; Trip Generation; Regression Model;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 경기도(1998), ‘경기도 교통종합기본 계획’, 경기도
2 서울시(1997), ‘서울시 교통센서스 및 데이터베이스 구축’, 서울시
3 교통개발연구원(2000), ‘가구통행실태조사 및 기초분석 -5개 광역시-’, 교통개발연구원
4 교통개발연구원(2002), ‘개인통행실태조사 -5개 광역권-’, 교통개발연구원
5 김진자. 이종호(2004), ‘수도권지역의 통행발생모형의 검증’, 대한교통학회지, 제22권 제3호, 대한교통학회, pp.49-58
6 김현기외 다수(1999), 통계학 개론, 백산 출판사
7 Pham, D. T. & Karaboga, D.(2000), 'Intelligent Optimisation Techniques', Springer
8 Simon, P. W., Matthew, G. K. & Fred, L. M.(2003), 'Statistical and Econometric Methods For Transportation Data Analysis', Chapman & 30. Hall/CRC
9 Stopher, P. R. & McDonald, K. G.(1983), 'Trip Generation by Cross-Classification: Alternative Methodology', Transportation Research Record, Vol.944, pp.84-91
10 Daniel, A. B. & Chin-Cheng, C.(2004), 'Unit of Analysis in Conventional Trip Generation Modelling: An Investigation', Canadian Journal of Civil Engineering, Vol.31, pp.272-280   DOI   ScienceOn
11 교통개발연구원(2004), ‘수도권 및 지방 5개 광역권 가구통행실태조자료결과의 상세분석’, 교통개발연구원
12 김현기. 김강수. 이상민(2004), ‘데이터마이닝의 베이지안 망 기법을 이용한 통행수단선택 모형의 설계 및 구축’, 대한교통학회지, 제22권 제2호, 대한교통학회, pp.77-86
13 Pearl, J.(2000), 'Causality Models. Reasoning and Inference', Cambridge
14 Chang-Jen, L. & Patricia, S. H.(2000), 'A Mixed Generalized Linear Model for Estimating Household Trip Production', TRB
15 Jose, M. B. & ADRIAN, F. M. S(1994), 'Bayesian Theory', Wiley
16 Michael, D.A., & Justin, P.O.(2002), 'Evaluation of Two Trip Generation Techniques for Small Area Travel Models', Journal of Urban Planning and Development, Vol.128, pp.77-88   DOI   ScienceOn
17 Morris, H. and Peg, Y.(1994), 'Statistical Analysis for Decision Making', Dryden
18 교통개발연구원(2001), ‘가구통행실태 상세분석 -5개 광역시-’, 교통개발연구원
19 김익기(1997), ‘교통수요분석에서 통행목적별 O-D 접근방법과 P-A 접근방법의 이론적 비교 연구’, 대한교통학회지, 제15권 제1호, 대한교통학회, pp.45-62
20 서울시(2003), ‘2002 서울시 가구통행실태조사’, 서울시
21 Goodman, L. A., & Kruskal, W. H.(1979), 'Measures of Association for Cross Classifications', Springer-Verlag
22 Finn, V. J.(1996), 'An Introduction to Bayesian Networks', Springer
23 장수은. 김대현. 임강원(2000), ‘신경망 이론을 이용한 통행발생모형 연구(선형/비선형 회귀모형과의 비교)’, 대한교통학회지, 제18권 제4호, 대한교통학회, pp.95-105
24 Chatterjee, A., Khasnabis, & Slade, L. J.(1977), 'Household Stratification Models for Engineering, ASCE, Vol.103, pp.199-213
25 James, S. P.(1989), 'Bayesian Statistics', Wiley Interscience
26 Rich, E.N.(1997), 'Learning Bayesian Networks', Pearson Prentice Hall
27 Finn, V. J.(2001), 'Bayesian Networks and Decision Graphs', Springer
28 Rengaraju, V. R. & Satyakumar, M.(1994), 'Structuring Category Analysis Using Statistical Technique', Journal of Transportation Engineering, ASCE, Vol.120, pp.930-939