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A Review of the Literature on Telecommuting and Its Implications for Vehicle Travel and Emissions

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  • Walls, Margaret

    (Resources for the Future)

  • Safirova, Elena

    (Resources for the Future)

Abstract

In this paper, we review 20 relatively recent empirical studies of telecommuting, all of which focus on the trip reduction perspective. The studies include earlier ones with smaller datasets, such as some pilot studies of individual employers, and more recent studies based on broader surveys of both telecommuters and nontelecommuters. We focus on the results of the studies with respect to participation and frequency of telecommuting, the effects on vehicle-miles-traveled (VMT) and trips, and in some cases, the impacts on emissions and air quality. Although there does not seem to be a consensus, there is a predominant view that certain factors increase both the likelihood of telecommuting and the frequency of telecommuting. These factors are having children in the household, being female, having more education, having a longer commute trip, having worked longer for one’s current employer and/or in one’s current position, and having a job that does not require face-to-face contact with coworkers or clients. Most studies of VMT and trip reductions from telecommuting show that telecommuters significantly reduce both daily trips and VMT. Not only does commute VMT fall, but noncommute VMT appears to fall in some cases as well. The studies of VMT, however, tend to focus on the reductions for individual employees who choose to telecommute. Although an individual telecommuter may experience a sharp reduction in VMT, total benefits depend on how many people are telecommuting, how often they are doing so, and the duration of telecommuting. More research is needed with larger and more broadly based datasets across employers that include both individual employee characteristics and employer and job characteristics. This would allow a better analysis of telecommuting choice and frequency as well as more reliable estimates of VMT and emissions impacts. This discussion paper is one in a series of four RFF papers on telecommuting published in December 2004. Discussion papers 04-42 and 04-43 present analyses of two recent datasets on telecommuters. In 04-42, Nelson and Walls analyze data from five pilot cities enrolled in the "ecommute" program. In 04-43, Safirova and Walls analyze data from a broad survey conducted by the Southern California Association of Governments (SCAG) of telecommuters and nontelecommuters. Finally, in 04-45 Nelson presents an assessment of institutional and regulatory barriers to using telecommuting in a mobile source emissions trading program. The studies by RFF are part of a larger report on the ecommute program completed by the Global Environment and Technology Foundation (GETF) for the U.S. Environmental Protection Agency. More information about the overall project can be found on the ecommute/GETF website: http://www.ecommute.net/program/.

Suggested Citation

  • Walls, Margaret & Safirova, Elena, 2004. "A Review of the Literature on Telecommuting and Its Implications for Vehicle Travel and Emissions," RFF Working Paper Series dp-04-44, Resources for the Future.
  • Handle: RePEc:rff:dpaper:dp-04-44
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    File URL: http://www.rff.org/RFF/documents/RFF-DP-04-44.pdf
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    References listed on IDEAS

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    1. repec:cdl:uctcwp:qt08s817dr is not listed on IDEAS
    2. Joanne Pratt, 2000. "Asking the right questions about telecommuting: Avoiding pitfalls in surveying homebased work," Transportation, Springer, vol. 27(1), pages 99-116, February.
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    5. Sangho Choo & Patricia Mokhtarian & Ilan Salomon, 2005. "Does telecommuting reduce vehicle-miles traveled? An aggregate time series analysis for the U.S," Transportation, Springer, vol. 32(1), pages 37-64, January.
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    12. Walls, Margaret & Nelson, Peter, 2004. "Telecommuting and Emissions Reductions: Evaluating Results from the ecommute Program," Discussion Papers 10628, Resources for the Future.
    13. Safirova, Elena, 2002. "Telecommuting, traffic congestion, and agglomeration: a general equilibrium model," Journal of Urban Economics, Elsevier, vol. 52(1), pages 26-52, July.
    14. P L Mokhtarian & I Salomon, 1996. "Modeling the Choice of Telecommuting: 2. A Case of the Preferred Impossible Alternative," Environment and Planning A, , vol. 28(10), pages 1859-1876, October.
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    Cited by:

    1. Behram Wali & Paolo Santi & Carlo Ratti, 2023. "A joint demand modeling framework for ride-sourcing and dynamic ridesharing services: a geo-additive Markov random field based heterogeneous copula framework," Transportation, Springer, vol. 50(5), pages 1809-1845, October.
    2. Margaret Walls & Safirova, Elena & Jiang, Yi, 2006. "What Drives Telecommuting? The Relative Impact of Worker Demographics, Employer Characteristics, and Job Types," RFF Working Paper Series dp-06-41, Resources for the Future.
    3. O'Keefe, Paul & Caulfield, Brian & Brazil, William & White, Peter, 2016. "The impacts of telecommuting in Dublin," Research in Transportation Economics, Elsevier, vol. 57(C), pages 13-20.
    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. Ipek N Sener & Chandra R Bhat, 2011. "A Copula-Based Sample Selection Model of Telecommuting Choice and Frequency," Environment and Planning A, , vol. 43(1), pages 126-145, January.

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    JEL classification:

    • R4 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy

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