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Driving Restrictions That Work? Quito's Pico y Placa Program

Author

Listed:
  • Paul E. Carrillo

    (Department of Economics/Institute for International Economic Policy, George Washington University)

  • Arun S. Malik

    (Department of Economics/Institute for International Economic Policy, George Washington University)

  • Jiseon Yoo

    (Department of Economics/Institute for International Economic Policy, George Washington University)

Abstract

Programs to reduce tra¢ c congestion and air pollution by restricting use of motor vehicles on working days have generally not met with success given existing studies of such programs in a number of cities. We conduct the Örst study of Quito, Ecuadorís three-year-old Pico y Placa program and Önd that it has reduced ambient concentrations of carbon monoxide (CO), a pollutant primarily emitted by vehicles, by 9-11% during peak tra¢ c hours. During an extended daytime period that encompasses hours when population exposure to air pollution is likely to be highest, CO concentrations have been reduced by approximately 6%. Given that ambient concentrations of CO generally track the spatial and temporal distributions of tra¢ c, these reductions in pollution suggest similar reductions in vehicle áows.

Suggested Citation

  • Paul E. Carrillo & Arun S. Malik & Jiseon Yoo, 2013. "Driving Restrictions That Work? Quito's Pico y Placa Program," Working Papers 2013-1, The George Washington University, Institute for International Economic Policy.
  • Handle: RePEc:gwi:wpaper:2013-1
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    Cited by:

    1. Rivera, Nathaly M., 2021. "Air quality warnings and temporary driving bans: Evidence from air pollution, car trips, and mass-transit ridership in Santiago," Journal of Environmental Economics and Management, Elsevier, vol. 108(C).
    2. repec:lpe:wpaper:201829 is not listed on IDEAS
    3. Viard, V. Brian & Fu, Shihe, 2015. "The effect of Beijing's driving restrictions on pollution and economic activity," Journal of Public Economics, Elsevier, vol. 125(C), pages 98-115.
    4. Carrillo, Paul E. & Lopez-Luzuriaga, Andrea & Malik, Arun S., 2018. "Pollution or crime: The effect of driving restrictions on criminal activity," Journal of Public Economics, Elsevier, vol. 164(C), pages 50-69.
    5. Li, Ling & Yang, Linchuan, 2023. "Effects of driving restrictions on air quality and housing prices: Evidence from Chengdu, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 176(C).
    6. Venables, Anthony & Duranton, Gilles, 2018. "Place-Based Policies for Development," CEPR Discussion Papers 12889, C.E.P.R. Discussion Papers.
    7. Piera Bello, 2021. "The environmental cost and the accident externality of driving: Evidence from the Swiss franc's appreciation," Economic Inquiry, Western Economic Association International, vol. 59(3), pages 1440-1458, July.
    8. Xia, Fan & Cheng, Ximeng & Lei, Zhen & Xu, Jintao & Liu, Yu & Zhang, Yingxin & Zhang, Qinghong, 2023. "Heterogeneous impacts of local traffic congestion on local air pollution within a city: Utilizing taxi trajectory data," Journal of Environmental Economics and Management, Elsevier, vol. 122(C).
    9. Yanez-Pagans, Patricia & Martinez, Daniel & Mitnik, Oscar A. & Scholl, Lynn & Vazquez, Antonia, 2018. "Urban Transport Systems in Latin America and the Caribbean: Challenges and Lessons Learned," IZA Discussion Papers 11812, Institute of Labor Economics (IZA).
    10. Arcila, Andres & Chen, Tao & Lu, Xiaolan, 2018. "The effectiveness of consumption tax on the reduction of car pollution in China," CLEF Working Paper Series 15, Canadian Labour Economics Forum (CLEF), University of Waterloo.
    11. Patricia Yañez-Pagans & Daniel Martinez & Oscar A. Mitnik & Lynn Scholl & Antonia Vazquez, 2019. "Urban transport systems in Latin America and the Caribbean: lessons and challenges," Latin American Economic Review, Springer;Centro de Investigaciòn y Docencia Económica (CIDE), vol. 28(1), pages 1-25, December.
    12. Allen Blackman & Francisco Alpízar & Fredrik Carlsson & Marisol Rivera Planter, 2018. "A Contingent Valuation Approach to Estimating Regulatory Costs: Mexico’s Day without Driving Program," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 5(3), pages 607-641.
    13. Sun, Chuanwang & Xu, Shuhua & Yang, Mian & Gong, Xu, 2022. "Urban traffic regulation and air pollution: A case study of urban motor vehicle restriction policy," Energy Policy, Elsevier, vol. 163(C).
    14. Claudia N. Berg & Uwe Deichmann & Yishen Liu & Harris Selod, 2017. "Transport Policies and Development," Journal of Development Studies, Taylor & Francis Journals, vol. 53(4), pages 465-480, April.
    15. Salgado, Edgar & Mitnik, Oscar A., 2021. "Spatial and Time Spillovers of Driving Restrictions: Causal Evidence from Limas Pico y Placa Policy," IDB Publications (Working Papers) 11818, Inter-American Development Bank.
    16. Lyu, Xueying, 2022. "Car restriction policies and housing markets," Journal of Development Economics, Elsevier, vol. 156(C).
    17. Rhiannon Jerch & Panle Jia Barwick & Shanjun Li & Jing Wu, 2020. "Road Rationing Policies and Housing Markets," DETU Working Papers 2004, Department of Economics, Temple University.
    18. Han, Qing & Liu, Ying & Lu, Zilong, 2020. "Temporary driving restrictions, air pollution, and contemporaneous health: Evidence from China," Regional Science and Urban Economics, Elsevier, vol. 84(C).
    19. Blackman, Allen & Qin, Ping & Yang, Jun, 2020. "How costly are driving restrictions? Contingent valuation evidence from Beijing," Journal of Environmental Economics and Management, Elsevier, vol. 104(C).

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    More about this item

    Keywords

    Forecasting; driving restrictions; traffic congestion; air pollution; difference-in-differences;
    All these keywords.

    JEL classification:

    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • D62 - Microeconomics - - Welfare Economics - - - Externalities
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • C54 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Quantitative Policy Modeling

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