Browse > Article

Analysis of the Elderly Travel Characteristics and Travel Behavior with Daily Activity Schedules (the Case of Seoul, Korea)  

Seo, Sang-Eon (중앙대학교 도시공학과)
Jeong, Jin-Hyeok (중앙대학교 도시공학과)
Kim, Sun-Gwan (서울시정개발연구원)
Publication Information
Journal of Korean Society of Transportation / v.24, no.5, 2006 , pp. 89-108 More about this Journal
Abstract
Korea has been entering the ageing society as the population of age over 65 shared over 7% since the year 2000. The ageing society needs to have transportation facility considering elderly people's travel behavior. This study aims to understand the elderly people's travel behavior using recent data in Korea. The activity schedule approach begins with travel outcomes are part of an activitv scheduling decision. For tho?e approach. used discrete choice models (especially. Nested Logit Model) to address the basic modeling problem capturing decision interaction among the many choice dimensions of the immense activity schedule choice set The day activity schedule is viewed as a sot of tours and at-home activity episodes tied togather with overarching day activity pattern using the Seoul Metropolitan Area Transportation Survey data, which was conducted in June, 2002. Decisions about a specific tour in the schedule are conditioned by the choice of day activity pattern. The day activity scheduling model estimated in this study consists of tours interrelated in a day activity pattern. The day activity pattern model represents the basic decision of activity participation and priorities and places each activity in a configuration of tours and at-home episodes. Each pattern alternative is defined by the primary activity of the day, whether the primary activity occurs at home or away, and the type of tour for the primary activity. In travel mode choice of the elderly and non-workers, especially, travel cost was found to be important in understanding interpersonal variations in mode choice behavior though, travel time was found to be less important factor in choosing travel mode. In addition, although, generally, the elderly was likely to choose transit mode, private mode was preferred for the elderly over 75 years old owing to weakened physical health for such things as going up and down of stairs. Therefore. as entering the ageing society, transit mode should be invested heavily in transportation facility Planning tor improving elderly transportation service. Although the model has not yet been validated in before-and-after prediction studies. this study gives strong evidence of its behavioral soundness, current practicality. and potential for improving reliability of transportation Projects superior to those of the best existing systems in Korea.
Keywords
Activity-Based Approach; Activity Scheduling Model; Elderly People; Nested Logit Model; Discrete Choice Analysis; Travel Demand Forecasting;
Citations & Related Records
연도 인용수 순위
  • Reference
1 안용성, 정진혁(2001), 개인성향, 활동참여, 통행 패턴을 고려한 통합모형 구축에 관한 연구, 대한교통학회 학술발표회 발표논문집 1, pp.23-28
2 최연숙, 정진혁(2002b), Puget Sound Transportation Panel을 이용한 활동참여와 통행행동의 Dynamic SEM, 대한교통학회지, 제20권 제6호, 대한교통학회, pp.129-140
3 최연숙, 정진혁, 김성호(2003), 다수준 모형을 이용한 활동참여와 통행행태 분석, 대한교통학회지, 제20권 제7호, 대한교통학회, pp.79-85
4 Ben-Akiva and Steven R. Lerman(1985), Discrete Choice analysis: theory and application to travel demand, Cambridge, Massachusetts: MIT Press
5 Bowman, J. L.(1998), The day activity schedule approach to travel demand analysis. Ph. D. Thesis, Massachusetts Institute of Technology, USA
6 Chung, J. H.(1997), Transportation Impact Simulation for Access Management and Other Land Use Policies Using Geographic Information Systems, Ph. D. Dissertation, The Pennsylvania State University, University Park
7 Greene. W. (2002), Econometric Analysis, 5th edn, Prentice Hall, Upper Saddle River, New Jersey
8 Kenneth Train(2001), Discrete Choice Methods with Simulation, Cambridge University Press
9 Michael Fox(1995), Transport planning and the human activity approach, Journal of Transportation Geography, Vol 3, No. 2, pp.105-106   DOI   ScienceOn
10 Recker, W. W.(1999), A bridge between travel demand modeling and activity-based travel analysis, Transportation Research Part B, Vol 35, pp.481-506   DOI   ScienceOn
11 최현주(2003), TRANSIMS의 인구생성모듈 적 용성 검토, 중앙대학교 대학원 도시공학과 석사학위 논문
12 2002 서울시 가구통행실태조사 보고서(2003), 서울시
13 윤대식.윤성순(1995), 도시모형론, 흥문사
14 윤대식(1997), 통근통행자의 통행패턴 선택행태의 분석, 대한교통학회지, 제15권 제4호, 대한교통학회, pp.35-51
15 Greene. W. (1986), LIMDEP Users' Manual, New York
16 이동규(2001), 우리나라 직장인들의 통근시 수단 선택과 업무 후 비업무 방문 행태에 관한 연구, 중 앙대학교 대학원 도시공학과 석사학위 논문
17 고령자 및 장애인 교통안전대책 연구(2002), 교통 안전공단
18 Chung, J. H., Lee, Y. S.(2002), Structural Equation Models of Day-To-Day Activity Participation and Travel Behavior in a Developing Country, Transportation Research Record #1807, pp.109-118   DOI
19 Golob, T. G., McNally, M. G.(1997), A model of activity participation and travel interactions between household heads, Transportation Research Part B, Vol 31, pp.177-194   DOI   ScienceOn
20 안용성(2001), 구조방정식을 이용한 교통/활동패 턴의 요일별 모형 구축에 관한 연구, 중앙대학교 대학원 도시공학과 석사학위 논문
21 정진혁, 이동규(2001), 순서형 프로빗 모형을 이 용한 직장인의 퇴근 후 방문활동패턴분석 - 서울시 를 중심으로, 대한 토목학회 학술 발표회 논문집
22 윤대식, 안영희(2003), 고령자의 통행특성과 통행 행태에 관한 연구, 대한국토.도시계획학회지 제 38권 제7호
23 Ben-Akiva, M.E., Bowman, J. L.(1997), Activity-based disaggregate travel demand model system with activity schedules
24 2004년 고령자 통계 보고서(2004), 통계청
25 Pas, E. I.(1996), Recent advances in activitybased modeling, TMIP Activity-Based Travel Forecasting Conference, June 2-5, pp.79-102
26 윤대식, 조남건(2002), 고령자의 통행수단 선택시 영향 을 주는 요인 연구, 국토연구 제 33권, pp.129-144
27 McFadden. D. (1974), Conditional logit analysis of qualitative choice behavior. Academic Press. New Your, pp.105-142