Identifying differences of travel time budgets between the elderly and the nonelderly groups using PSL structural equation models: A case study for Seoul metropolitan area
To date, aging is one of the most important issues in society because of its significant socioeconomic impacts. Corresponding concerns about the transportation needs of the elderly have led to a focus on the mobility and quality of life of the elderly and motivated various studies of senior mobility. As the fastest aging country in the world, Korea will need to provide insightful information for an aging society. The purpose of this study is to investigate the difference in travel behavior between the elderly and the nonelderly groups by focusing on travel time budget (TTB), using the 2006 household travel diary survey data from the Seoul metropolitan area. The authors develop partial least square (PLS) structural equation models to identify major variables that affect the TTB of each of the two groups and then compare the differences between the models. Model results indicate that the significant explanatory variables differ between the two age groups, and the degree to which the variables affect the TTB differs by personal and household characteristics.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/15568318
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Supplemental Notes:
- Abstract reprinted with permission of Taylor & Francis.
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Authors:
- Kim, Taeho
- Choo, Sangho
- Shin, Yeacheol
- Park, Minyoung
- You, Soyoung (Iris)
- Publication Date: 2016-5
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 455-465
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Serial:
- International Journal of Sustainable Transportation
- Volume: 10
- Issue Number: 5
- Publisher: Taylor & Francis
- ISSN: 1556-8318
- EISSN: 1556-8334
- Serial URL: http://www.tandfonline.com/loi/ujst20
Subject/Index Terms
- TRT Terms: Aged; Case studies; Mobility; Quality of life; Structural equation modeling; Travel budgets; Travel diaries; Travel time
- Uncontrolled Terms: Partial least squares analysis
- Geographic Terms: Seoul (Korea)
- Subject Areas: Planning and Forecasting; Transportation (General);
Filing Info
- Accession Number: 01599626
- Record Type: Publication
- Files: TRIS
- Created Date: May 20 2016 3:54PM