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Does telecommuting reduce vehicle-miles traveled? An aggregate time series analysis for the U.S.

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Abstract

. This study examines the impact of telecommuting on passenger vehicle-miles traveled (VMT) through a multivariate time series analysis of aggregate nationwide data spanning 1966–1999 for all variables except telecommuting, and 1988–1998 for telecommuting. The analysis was conducted in two stages. In the first stage, VMT (1966–1999) was modeled as a function of conventional variables representing economic activity, transportation price, transportation supply and socio-demographics. In the second stage, the residuals of the first stage (1988–1998) were modeled as a function of the number of telecommuters. We also assessed the change in annual VMT per telecommuter as well as VMT per telecommuting occasion, for 1998. The models suggest that telecommuting reduces VMT, with 94% confidence. Together with independent external evidence, the results suggest a reduction in annual VMT on the order of 0.8% or less. Even with impacts that small, when informally compared to similar reductions in VMT due to public transit ridership, telecommuting appears to be far more cost-effective in terms of public sector expenditures.

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References

  • GEP Box GM Jenkins (1976) Time Series Analysis: Forecasting and Control Holden-Day San Francisco

    Google Scholar 

  • Choo S, Mokhtarian, PL & Salomon I (2001) Impacts of Telecommuting on Vehicle-Miles Traveled: A Nationwide Time Series Analysis. Publication No. P600-01-020, the California Energy Commission, Sacramento, CA. Available at www.its.ucdavis.edu/publications/2002/RR-02-05.pdf.

  • J Conlisk (1971) ArticleTitleWhen collinearity is desirable Western Economic Journal 9 393–407

    Google Scholar 

  • P DeCorla-Souza (2000) ArticleTitleInduced highway travel: Transportation policy implications for congested metropolitan areas Transportation Quarterly 54 13–30

    Google Scholar 

  • D Gately (1990) ArticleTitleThe U.S demand for highway travel and motor fuel The Energy Journal 11 59–73

    Google Scholar 

  • DL Greene (1992) ArticleTitleVehicle use and fuel economy: How big is the ‘rebound’ effect The Energy Journal 13 117–143

    Google Scholar 

  • WH Greene (1997) Econometric Analysis EditionNumber3 Prentice Hall Upper Saddle River, NJ

    Google Scholar 

  • R Hamer E Kroes H van Ooststroom (1991) ArticleTitleTeleworking in The Netherlands: An evaluation of changes in travel behaviour Transportation 18 365–382

    Google Scholar 

  • DK Henderson BE Koenig PL Mokhtarian (1996) ArticleTitleUsing travel diary data to estimate the emissions impacts of transportation strategies: The Puget Sound Telecommuting Demonstration Project Journal of the Air and Waste Management Association 46 47–57

    Google Scholar 

  • Holtzclaw J (undated) Does a mile in a car equal a mile on a train? Exploring public transit’s effectiveness in reducing driving. Available at www.sierraclub.org/sprawl/articles/reducedriving.asp, accessed July 10, 2004. Also available as Table 5 at http://www.vtpi.org/tdm/tdm62.htm (accessed July 10, 2004), with further discussion.

  • PS Hu JR Young (1999) Summary of Travel Trends: 1995 Nationwide Personal Transportation Survey. Publication No. FHWA-PL-00-006 US Department of Transportation, Federal Highway Administration Washington, DC

    Google Scholar 

  • V Illegems A Verbeke R S’Jegers (2001) ArticleTitleThe organizational context of teleworking implementation Technological Forecasting and Social Change 68 275–291

    Google Scholar 

  • P Kennedy (1998) A Guide to Econometrics EditionNumber4 MIT Press Cambridge, MA

    Google Scholar 

  • R Kitamura J Nilles D Fleming P Conroy (1990) ArticleTitleTelecommuting as a transportation planning measure: Initial results of State of California pilot project Transportation Research Record 1285 98–104

    Google Scholar 

  • RK Kumapley JD Fricker (1996) ArticleTitleReview of methods for estimating vehicle miles traveled Transportation Research Record 1551 59–66

    Google Scholar 

  • NG Mankiw (2003) Macroeconomics EditionNumber5 Worth Publishers New York, NY

    Google Scholar 

  • PL Mokhtarian (1998) ArticleTitleA synthetic approach to estimating the impacts of telecommuting on travel Urban Studies 35 215–241

    Google Scholar 

  • PL Mokhtarian KV Varma (1998) ArticleTitleThe tradeoff between trips and distance traveled in analyzing the emissions impacts of center-based telecommuting Transportation Research D 3 419–428

    Google Scholar 

  • PL Mokhtarian SL Handy I Salomon (1995) ArticleTitleMethodological issues in the estimation of travel, energy, and air quality impacts of telecommuting Transportation Research A 29 283–302

    Google Scholar 

  • Mokhtarian PL, Salomon I Choo S (forthcoming) Measuring the measurable: Why can’t we agree on the number of telecommuters in the US? Quality and Quatity.

  • JM Nilles (1988) ArticleTitleTraffic reduction by telecommuting: A status review and selected bibliography Transportation Research A 22 301–317

    Google Scholar 

  • JM Nilles FR Carlson SuffixJr. P Gray GJ Hanneman (1976) The Telecommunications-Transportation Tradeoff: Options for Tomorrow John Wiley and Sons New York

    Google Scholar 

  • RB Noland (2001) ArticleTitleRelationships between highway capacity and induced vehicle travel Transportation Research A 35 47–72

    Google Scholar 

  • R Pendyala KG Goulias R Kitamura (1991) ArticleTitleImpact of telecommuting on spatial and temporal patterns of household travel Transportation 18 383–409

    Google Scholar 

  • Quantitative Micro Software (2000) EViews 4.0 User’s Guide. Irvine, CA: Quantitative Micro Software.

  • NE Savin KJ White (1977) ArticleTitleThe Durbin–Watson test for serial correlation with extreme sample sizes or many regressors Econometrica 45 1989–1996

    Google Scholar 

  • P Schimek (1996) ArticleTitleGasoline and travel demand models using time series and cross-section data from United States Transportation Research Record 1558 83–89

    Google Scholar 

  • RK Springer RW Resek (1981) ArticleTitleAn econometric model of gasoline consumption, vehicle miles traveled, and new car purchases Energy Systems and Policy 5 73–87

    Google Scholar 

  • C Ulberg A Gordon D Spain E Fortenbery B Whitaker S Fireman (1993) Evaluation of the Puget Sound Telecommuting Demonstration: Survey Results and Qualitative Research Washington State Energy Office Olympia, Washington

    Google Scholar 

  • United States Department of Energy (1994) Energy, Emissions, and Social Consequences of Telecommuting. Washington, DC: US DOE Office of Policy, Planning, and Program Evaluation, Report No. DOE/PO–0026.

  • KV Varma C-I Ho DM Stanek PL Mokhtarian (1998) ArticleTitleDuration and frequency of telecenter use: Once a telecommuter, always a telecommuter Transportation Research C 6 47–68

    Google Scholar 

  • Ziliak ST & McCloskey DN (2003) Size matters: The standard error of regressions in the American Economic Review. Available at www.econ.mq.edu/seminars/McCloskey.pdf, accessed February 17, 2004.

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Correspondence to Patricia L. Mokhtarian.

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Choo, S., Mokhtarian, P.L. & Salomon, I. Does telecommuting reduce vehicle-miles traveled? An aggregate time series analysis for the U.S.. Transportation 32, 37–64 (2005). https://doi.org/10.1007/s11116-004-3046-7

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  • DOI: https://doi.org/10.1007/s11116-004-3046-7

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