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Catching the Next Big Wave: Are the Observed Behavioral Dynamics of the Baby Boomers Forcing Us to Rethink Regional Travel Demand Models?

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  • Goulias, Konstadinos G
  • Blain, Larry
  • Kilgren, Neil
  • Michalowski, Timothy
  • Murakami, Elaine

Abstract

Aging American baby-boomers create a variety of new policy contexts and problems. Their changing demand for transportation services may be positive or negative depending on the preparedness of our institutions and the baby boomers’ behavior. In this paper we describe this potential change in demand through an analysis of individual longitudinal histories over long period (1989 to 2003) exploring the impacts of person-specific changes (e.g., entry to and exit from the labor force) household changes (e.g., relocation and dissolution) and land use. To do this we use the Puget Sound Transportation Panel (PSTP), which is a record of approximately 20,000 person diaries of Seattle residents that provided reports of their travel in two-days repeatedly for ten repeated contacts (waves). In the analysis we study within-household dynamics and the impact events of within-household change have on individual well as household behavior. We employ focus groups to extract behavioral themes, Latent Class Cluster analysis to identify groups of behavior, and an array of regression models of change to identify key determinants underlying behavioral dynamics. Key findings include need to focus on employment, heterogeneity in the impact of land uses, and a significant affect of household composition. All this implies a need for models that can handle more diverse behavior and the need to accommodate employment status and within household demographics in the forecasting models.

Suggested Citation

  • Goulias, Konstadinos G & Blain, Larry & Kilgren, Neil & Michalowski, Timothy & Murakami, Elaine, 2007. "Catching the Next Big Wave: Are the Observed Behavioral Dynamics of the Baby Boomers Forcing Us to Rethink Regional Travel Demand Models?," University of California Transportation Center, Working Papers qt9f83x03p, University of California Transportation Center.
    • Handle: RePEc:cdl:uctcwp:qt9f83x03p
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    Cited by:

    1. Mingjiu Jin & Qingtan Deng & Siyu Wang & Luteng Wei, 2023. "Equity Evaluation of Elderly-Care Institutions Based on Ga2SFCA: The Case Study of Jinan, China," Sustainability, MDPI, vol. 15(24), pages 1-25, December.
    2. Yoon, Seo Youn & Golob, Thomas F. & Goulias, Konstadinos G., 2008. "A California Statewide Exploratory Analysis Correlating Land Use Density, Infrastructure Supply and Travel Behavior," University of California Transportation Center, Working Papers qt5bb12732, University of California Transportation Center.
    3. Figliozzi, Miguel & Unnikrishnan, Avinash, 2021. "Exploring the impact of socio-demographic characteristics, health concerns, and product type on home delivery rates and expenditures during a strict COVID-19 lockdown period: A case study from Portlan," Transportation Research Part A: Policy and Practice, Elsevier, vol. 153(C), pages 1-19.
    4. Su, Rongxiang & Xiao, Jingyi & McBride, Elizabeth C. & Goulias, Konstadinos G., 2021. "Understanding senior's daily mobility patterns in California using human mobility motifs," Journal of Transport Geography, Elsevier, vol. 94(C).
    5. Luis Miranda-Moreno & Martin Lee-Gosselin, 2008. "A week in the life of baby boomers: how do they see the spatial–temporal organization of their activities and travel?," Transportation, Springer, vol. 35(5), pages 629-653, August.
    6. Lee, Jae Hyun & Goulias, Konstadinos G., 2018. "Companionship and time investment in social fields at different life cycle stages: Implications for activity and travel modeling and simulation," Research in Transportation Economics, Elsevier, vol. 68(C), pages 18-28.
    7. Jan-Dirk Schmöcker & Fengming Su & Robert Noland, 2010. "An analysis of trip chaining among older London residents," Transportation, Springer, vol. 37(1), pages 105-123, January.
    8. Weis, Claude & Axhausen, Kay W., 2009. "Induced travel demand: Evidence from a pseudo panel data based structural equations model," Research in Transportation Economics, Elsevier, vol. 25(1), pages 8-18.
    9. Lin, Ting (Grace) & Xia, Jianhong (Cecilia) & Robinson, Todd P. & Goulias, Konstadinos G. & Church, Richard L. & Olaru, Doina & Tapin, John & Han, Renlong, 2014. "Spatial analysis of access to and accessibility surrounding train stations: a case study of accessibility for the elderly in Perth, Western Australia," Journal of Transport Geography, Elsevier, vol. 39(C), pages 111-120.

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