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Can New Light Rail Reduce Personal Vehicle Carbon Emissions? A Before-After, Experimental-Control Evaluation in Los Angeles

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  • Marlon G. Boarnet

    (University of Southern California)

  • Xize Wang

    (University of Southern California)

  • Douglas Houston

    (University of California, Irvine)

Abstract

This paper uses a before-after, experimental-control group method to evaluate the impacts of the newly opened Expo light rail transit line in Los Angeles on personal vehicle greenhouse gas (GHG) emissions. We applied the California Air Resources Board's EMFAC 2011 emission model to estimate the amount of daily average CO2 emissions from personal vehicle travel for 160 households across two waves, before and after the light rail opened. The 160 households were part of an experimental-ccontrol group research design. Approximately half of the households live within a half-mile of new Expo light rail stations (the experimental group) and the balance of the sampled households live beyond a half-mile from Expo light rail stations (the control group). Households tracked odometer mileage for all household vehicles for seven days in two sample waves, before the Expo Line opened (fall, 2011) and after the Expo Line opened (fall, 2012). Our analysis indicates that opening the Expo Line had a statistically significant impact on average daily CO2 emissions from motor vehicles. We found that the CO2 emission of households who reside within a half-mile of an Expo Line station was 27.17 percent smaller than those living more than a half-mile from a station after the opening of the light rail, while no significant difference exists before the opening. A difference-in-difference model suggests that the opening of the Expo Line is associated with 3,145 g less of household vehicle CO2 emissions per day as a treatment effect. A sensitivity analysis indicates that the emission reduction effect is also present when the experimental group of households is redefined to be those living within a kilometer from the new light rail stations.

Suggested Citation

  • Marlon G. Boarnet & Xize Wang & Douglas Houston, 2022. "Can New Light Rail Reduce Personal Vehicle Carbon Emissions? A Before-After, Experimental-Control Evaluation in Los Angeles," Papers 2206.12610, arXiv.org.
  • Handle: RePEc:arx:papers:2206.12610
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    1. Card, David & Krueger, Alan B, 1994. "Minimum Wages and Employment: A Case Study of the Fast-Food Industry in New Jersey and Pennsylvania," American Economic Review, American Economic Association, vol. 84(4), pages 772-793, September.
    2. Kenneth A. Small & Kurt Van Dender, 2007. "Fuel Efficiency and Motor Vehicle Travel: The Declining Rebound Effect," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 25-52.
    3. Harvey J. Miller, 2010. "The Data Avalanche Is Here. Shouldn’T We Be Digging?," Journal of Regional Science, Wiley Blackwell, vol. 50(1), pages 181-201, February.
    4. Marlon Boarnet, 2011. "A Broader Context for Land Use and Travel Behavior, and a Research Agenda," Journal of the American Planning Association, Taylor & Francis Journals, vol. 77(3), pages 197-213.
    5. Zhan Guo & Asha Agrawal & Jennifer Dill, 2011. "Are Land Use Planning and Congestion Pricing Mutually Supportive?," Journal of the American Planning Association, Taylor & Francis Journals, vol. 77(3), pages 232-250.
    6. Qing Su & Joseph S. DeSalvo, 2008. "The Effect Of Transportation Subsidies On Urban Sprawl," Journal of Regional Science, Wiley Blackwell, vol. 48(3), pages 567-594, August.
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