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The effects of a compressed working week on commuters' daily activity patterns

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  • Sundo, Marloe B.
  • Fujii, Satoshi

Abstract

This study was based on 220 randomly selected government employees of the University of the Philippines in Los Baños, and was carried out after the Philippine government implemented an experimental two-month compressed working week scheme. The study aimed to examine compressed working week-related lifestyle pattern changes, especially changes in activity-time patterns. The moderating effects of compressed working week to the commuters were also explored. Survey results showed that two-hour increases in the compressed working week workday substantially impacted activity-travel patterns. Commuters reduced household activities by about one hour, sleeping time by about 20Â minutes, and pre-work preparation time by about 30Â minutes. Commuting times also significantly declined during the compressed working week. This study also identified factors that moderated the compressed working week plan's effects on activity-travel patterns.

Suggested Citation

  • Sundo, Marloe B. & Fujii, Satoshi, 2005. "The effects of a compressed working week on commuters' daily activity patterns," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(10), pages 835-848, December.
  • Handle: RePEc:eee:transa:v:39:y:2005:i:10:p:835-848
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    References listed on IDEAS

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    1. Ryuichi Kitamura & Cynthia Chen & Ram Pendyala & Ravi Narayanan, 2000. "Micro-simulation of daily activity-travel patterns for travel demand forecasting," Transportation, Springer, vol. 27(1), pages 25-51, February.
    2. Brewer, Ann M., 1998. "Work design, flexible work arrangements and travel behaviour: policy implications," Transport Policy, Elsevier, vol. 5(2), pages 93-101, April.
    3. Steiner, T. J. & Bristow, A. L., 2000. "Road pricing in National Parks: a case study in the Yorkshire Dales National Park," Transport Policy, Elsevier, vol. 7(2), pages 93-103, April.
    4. Nakamura, Katsuhiko & Kockelman, Kara Maria, 2002. "Congestion pricing and roadspace rationing: an application to the San Francisco Bay Bridge corridor," Transportation Research Part A: Policy and Practice, Elsevier, vol. 36(5), pages 403-417, June.
    5. Jakobsson, C. & Fujii, S. & Gärling, T., 2000. "Determinants of private car users' acceptance of road pricing," Transport Policy, Elsevier, vol. 7(2), pages 153-158, April.
    6. Viegas, José M., 2001. "Making urban road pricing acceptable and effective: searching for quality and equity in urban mobility," Transport Policy, Elsevier, vol. 8(4), pages 289-294, October.
    7. Kitamura, Ryuichi & Fujii, Satoshi & Pas, Eric I., 1997. "Time-use data, analysis and modeling: toward the next generation of transportation planning methodologies," Transport Policy, Elsevier, vol. 4(4), pages 225-235, October.
    8. Parkhurst, Graham, 1995. "Park and ride: Could it lead to an increase in car traffic?," Transport Policy, Elsevier, vol. 2(1), pages 15-23, January.
    9. Nozick, Linda K. & Borderas, Hector & Meyburg, Arnim H., 1998. "Evaluation of travel demand measures and programs: a data envelopment analysis approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 32(5), pages 331-343, September.
    10. Parkhurst, G., 2000. "Influence of bus-based park and ride facilities on users' car traffic," Transport Policy, Elsevier, vol. 7(2), pages 159-172, April.
    11. Meyer, Michael D., 1999. "Demand management as an element of transportation policy: using carrots and sticks to influence travel behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 33(7-8), pages 575-599.
    12. Thorpe, Neil & Hills, Peter & Jaensirisak, Sittha, 2000. "Public attitudes to TDM measures: a comparative study," Transport Policy, Elsevier, vol. 7(4), pages 243-257, October.
    13. Levine, Jonathan & Garb, Yaakov, 2002. "Congestion pricing's conditional promise: promotion of accessibility or mobility?," Transport Policy, Elsevier, vol. 9(3), pages 179-188, July.
    14. Timmermans, Harry & van der Waerden, Peter & Alves, Mario & Polak, John & Ellis, Scott & Harvey, Andrew S. & Kurose, Shigeyuki & Zandee, Rianne, 2002. "Time allocation in urban and transport settings: an international, inter-urban perspective," Transport Policy, Elsevier, vol. 9(2), pages 79-93, April.
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    Cited by:

    1. Neil Urquhart & Simon Powers & Zoe Wall & Achille Fonzone & Jiaqi Ge & J. Gareth Polhill, 2019. "Simulating the Actions of Commuters Using a Multi-Agent System," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 22(2), pages 1-10.
    2. Aoun, Alisar & Abou-Zeid, Maya & Kaysi, Isam & Myntti, Cynthia, 2013. "Reducing parking demand and traffic congestion at the American University of Beirut," Transport Policy, Elsevier, vol. 25(C), pages 52-60.
    3. Ge, Jiaqi & Polhill, J. Gareth & Craig, Tony P., 2018. "Too much of a good thing? Using a spatial agent-based model to evaluate “unconventional” workplace sharing programmes," Journal of Transport Geography, Elsevier, vol. 69(C), pages 83-97.
    4. Percoco, Marco, 2018. "The impact of working time on fuel consumption and CO2 emissions of public fleets: Evidence from a policy experiment," Transport Policy, Elsevier, vol. 71(C), pages 126-129.
    5. Su, Qida & Wang, David Z.W., 2020. "On the commute travel pattern with compressed work schedule," Transportation Research Part A: Policy and Practice, Elsevier, vol. 136(C), pages 334-356.

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