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Does flexitime affect choice of departure time for morning home-based commuting trips? Evidence from two regions in California

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  • He, Sylvia Y.

Abstract

Over the past twenty-five years, more workers in the United States have been given the option of flexible work schedules, which are designed to redistribute commuter traffic over the course of a day by allowing employees to vary their arrival and/or departure times. This paper examines whether and to what degree access to flexible work schedules affects the departure times of commuters in the two largest and most congested areas of California: the Los Angeles and San Francisco regions. Trip data were obtained from the 2009 US National Household Travel Survey (NHTS). The results of this study show that people who have access to flexitime preferred later departure times rather than earlier times. Workers with flexible schedules were 3.30% less likely to depart before peak hours, 4.11% less likely during peak hours, and 7.41% more likely afterwards. Based on these findings, government agencies and private firms in regions with severe traffic congestion problems may consider adopting alternative work schedules.

Suggested Citation

  • He, Sylvia Y., 2013. "Does flexitime affect choice of departure time for morning home-based commuting trips? Evidence from two regions in California," Transport Policy, Elsevier, vol. 25(C), pages 210-221.
    • Handle: RePEc:eee:trapol:v:25:y:2013:i:c:p:210-221
    DOI: 10.1016/j.tranpol.2012.11.003
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    References listed on IDEAS

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    3. Shuai Yu & Bin Li & Dongmei Liu, 2023. "Exploring the Public Health of Travel Behaviors in High-Speed Railway Environment during the COVID-19 Pandemic from the Perspective of Trip Chain: A Case Study of Beijing–Tianjin–Hebei Urban Agglomera," IJERPH, MDPI, vol. 20(2), pages 1-22, January.
    4. Wöhner, Fabienne, 2022. "Work flexibly, travel less? The impact of telework and flextime on mobility behavior in Switzerland," Journal of Transport Geography, Elsevier, vol. 102(C).
    5. Shen, Yue & Chai, Yanwei & Kwan, Mei-Po, 2015. "Space–time fixity and flexibility of daily activities and the built environment: A case study of different types of communities in Beijing suburbs," Journal of Transport Geography, Elsevier, vol. 47(C), pages 90-99.
    6. Marc-Edouard Schultheiss, 2022. "Assessment of the Bus Transit Network: A Perspective from the Daily Activity-Travel Organization of Travelers," Sustainability, MDPI, vol. 14(4), pages 1-20, February.
    7. Crawford, Fiona, 2020. "Segmenting travellers based on day-to-day variability in work-related travel behaviour," Journal of Transport Geography, Elsevier, vol. 86(C).
    8. Shin, Eun Jin, 2019. "Self-employment and travel behavior: A case study of workers in central Puget Sound," Transport Policy, Elsevier, vol. 73(C), pages 101-112.
    9. Haiyan Zhu & Hongzhi Guan & Yan Han & Wanying Li, 2020. "Can Road Toll Convince Car Travelers to Adjust Their Departure Times? Accounting for the Effect of Choice Behavior under Long and Short Holidays," Sustainability, MDPI, vol. 12(24), pages 1-29, December.
    10. 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.
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