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The dynamics of commuting over the life course: Swiss experiences

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  • Beige, Sigrun
  • Axhausen, Kay W.

Abstract

Daily travel behavior, and especially commuting behavior, is strongly determined by the location of the places of residence, education and employment. After changes in these spatial choices, people inevitably show a travel behavior that is different from the travel behavior before these relocations occurred. Therefore, spatial alterations provide interesting starting points for policies and other interventions aiming at travel behavior change, as habits and routines are broken or at least weakened, and individuals reconsider their behavior and consciously reflect their decisions.

Suggested Citation

  • Beige, Sigrun & Axhausen, Kay W., 2017. "The dynamics of commuting over the life course: Swiss experiences," Transportation Research Part A: Policy and Practice, Elsevier, vol. 104(C), pages 179-194.
    • Handle: RePEc:eee:transa:v:104:y:2017:i:c:p:179-194
    DOI: 10.1016/j.tra.2017.01.015
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    References listed on IDEAS

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    3. Van Acker, Veronique & Ho, Loan & Stevens, Larissa & Mulley, Corinne, 2020. "Quantifying the effects of childhood and previous residential experiences on the use of public transport," Journal of Transport Geography, Elsevier, vol. 86(C).
    4. Lee, Yongsung & Guhathakurta, Subhrajit, 2018. "An analysis of the effects of suburban densification on vehicle use for shopping: Do existing residents respond to land-use changes in the same way as recent movers?," Journal of Transport Geography, Elsevier, vol. 68(C), pages 193-204.
    5. Richard Larouche & Ulises Charles Rodriguez & Ransimala Nayakarathna & David R. Scott, 2020. "Effect of Major Life Events on Travel Behaviours: A Scoping Review," Sustainability, MDPI, vol. 12(24), pages 1-21, December.
    6. Guo, Jia & Feng, Tao & Zhang, Junyi & Timmermans, Harry J.P., 2020. "Temporal interdependencies in mobility decisions over the life course: A household-level analysis using dynamic Bayesian networks," Journal of Transport Geography, Elsevier, vol. 82(C).
    7. Havet, Nathalie & Bayart, Caroline & Bonnel, Patrick, 2021. "Why do Gender Differences in Daily Mobility Behaviours persist among workers?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 145(C), pages 34-48.
    8. Müggenburg, Hannah, 2021. "Beyond the limits of memory? The reliability of retrospective data in travel research," Transportation Research Part A: Policy and Practice, Elsevier, vol. 145(C), pages 302-318.
    9. Velvart, Joëlle & Dato, Prudence & Kuhlmey, Florian, 2022. "Tailored interventions in a major life decision: A home relocation discrete choice experiment," Working papers 2022/03, Faculty of Business and Economics - University of Basel.
    10. Arif Budiarto & Nur Shalin Abdi & Dimas Bayu Endrayana Dharmowijoyo & Nursitihazlin Ahmad Termida & Basil David Daniel & Nur Sabahiah Abdul Sukor & Liza Evianti Tanjung, 2022. "Effects of Changes in Discretionary Trips and Online Activities on Social and Mental Health during Two Different Phases of the COVID-19 Pandemic in Malaysia," Sustainability, MDPI, vol. 14(21), pages 1-24, October.
    11. Gimenez-Nadal, José Ignacio & Molina, José Alberto & Velilla, Jorge, 2020. "Elderly's Mobility to and from Work in the US: Metropolitan Status and Population Size," IZA Discussion Papers 13949, Institute of Labor Economics (IZA).
    12. Xuemei Fu, 2021. "A novel perspective to enhance the role of TPB in predicting green travel: the moderation of affective-cognitive congruence of attitudes," Transportation, Springer, vol. 48(6), pages 3013-3035, December.
    13. Scheiner, Joachim, 2020. "Changes in travel mode use over the life course with partner interactions in couple households," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 791-807.
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    15. Lisa Döring & Maarten Kroesen & Christian Holz-Rau, 2019. "The role of parents’ mobility behavior for dynamics in car availability and commute mode use," Transportation, Springer, vol. 46(3), pages 957-994, June.

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