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Rules for aggregated satisfaction with work commutes

Author

Listed:
  • Haruna Suzuki
  • Satoshi Fujii
  • Tommy Gärling
  • Dick Ettema
  • Lars Olsson
  • Margareta Friman

Abstract

In general trips frequently entail several stages varying in mode, duration, and other factors. In some way travelers aggregate their satisfaction with the stages to satisfaction with the whole trip. In this paper we address the question of how this aggregation is made. We use data from a Swedish survey measuring satisfaction with commutes to and from work and with the stages of the commutes. We test several aggregation rules for their goodness of fit to the observations. Our results show that a normatively correct averaging rule that takes into account the relative durations of the stages out-perform heuristic aggregation rules such as the peak-end, summation, and equal-weight averaging rules. We note that this does not exclude that the heuristic aggregation rules apply to other trips than repetitive commute trips. Copyright Springer Science+Business Media New York 2014

Suggested Citation

  • Haruna Suzuki & Satoshi Fujii & Tommy Gärling & Dick Ettema & Lars Olsson & Margareta Friman, 2014. "Rules for aggregated satisfaction with work commutes," Transportation, Springer, vol. 41(3), pages 495-506, May.
    • Handle: RePEc:kap:transp:v:41:y:2014:i:3:p:495-506
    DOI: 10.1007/s11116-013-9484-3
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    References listed on IDEAS

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    Cited by:

    1. Yanan Gao & Soora Rasouli & Harry Timmermans & Yuanqing Wang, 2020. "Prevalence of alternative processing rules in the formation of daily travel satisfaction in the context multi-trip, multi-stage, multi-attribute travel experiences," Transportation, Springer, vol. 47(3), pages 1199-1221, June.
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    3. Zahwa Al-Ayyash & Maya Abou-Zeid, 2019. "Investigating commute satisfaction differences of private car users and public transport users in a developing country context," Transportation, Springer, vol. 46(3), pages 515-536, June.
    4. Bojing Liao & Xiang Li, 2023. "Neighborhood Environment and Affective Walking Experience: Cluster Analysis Results of a Virtual-Environment-Based Conjoint Experiment," IJERPH, MDPI, vol. 20(2), pages 1-19, January.
    5. Sukhov, Alexandre & Olsson, Lars E. & Friman, Margareta, 2022. "Necessary and sufficient conditions for attractive public Transport: Combined use of PLS-SEM and NCA," Transportation Research Part A: Policy and Practice, Elsevier, vol. 158(C), pages 239-250.
    6. Roberto F. Abenoza & Oded Cats & Yusak O. Susilo, 2019. "How does travel satisfaction sum up? An exploratory analysis in decomposing the door-to-door experience for multimodal trips," Transportation, Springer, vol. 46(5), pages 1615-1642, October.
    7. Mao, Zidan & Ettema, Dick & Dijst, Martin, 2016. "Commuting trip satisfaction in Beijing: Exploring the influence of multimodal behavior and modal flexibility," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 592-603.
    8. Feng Zhen & Xinyu Cao & Jia Tang, 2019. "The role of access and egress in passenger overall satisfaction with high speed rail," Transportation, Springer, vol. 46(6), pages 2137-2150, December.

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