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Citywide Effects of High-Occupancy Vehicle Restrictions: Evidence from the Elimination of ‘3-in-1’ in Jakarta

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Listed:
  • Rema Hanna
  • Gabriel Kreindler
  • Benjamin A. Olken

Abstract

In cities worldwide, the widespread use of single occupancy cars often leads to traffic congestion and its associated ill effects. Using high frequency data from Google Maps, we test whether high-occupancy vehicle (HOV) policies can be an effective tool to combat congestion. Using the unexpected lifting of Jakarta’s HOV policy, we show that after the policy was abandoned delays rose about 39 percent on affected roads during the morning peak—and nearly 69% during the evening peak. Importantly, this was not due to simply a substitution from other roads to the former HOV routes: the lifting of the policy led to worse traffic throughout the city, even on roads that had never been restricted or at times of the day when restrictions had never been in place. The increase in traffic persisted long after the policy was lifted. In short, we find that HOV policies can greatly improve traffic conditions.

Suggested Citation

  • Rema Hanna & Gabriel Kreindler & Benjamin A. Olken, 2017. "Citywide Effects of High-Occupancy Vehicle Restrictions: Evidence from the Elimination of ‘3-in-1’ in Jakarta," NBER Working Papers 23295, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:23295
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    References listed on IDEAS

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    1. Lucas W. Davis, 2008. "The Effect of Driving Restrictions on Air Quality in Mexico City," Journal of Political Economy, University of Chicago Press, vol. 116(1), pages 38-81, February.
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    Cited by:

    1. Prottoy Akbar & Victor Couture & Gilles Duranton & Adam Storeygard, 2023. "Mobility and Congestion in Urban India," American Economic Review, American Economic Association, vol. 113(4), pages 1083-1111, April.
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    3. Davis, Lucas W., 2021. "Estimating the price elasticity of demand for subways: Evidence from Mexico," Regional Science and Urban Economics, Elsevier, vol. 87(C).
    4. Jonathan E. Hughes & Daniel Kaffine, 2019. "When Should Drivers Be Encouraged To Carpool In Hov Lanes?," Economic Inquiry, Western Economic Association International, vol. 57(1), pages 667-684, January.
    5. Ang, Amanda & Christensen, Peter & Vieira, Renato, 2020. "Should congested cities reduce their speed limits? Evidence from São Paulo, Brazil," Journal of Public Economics, Elsevier, vol. 184(C).
    6. Burke, Paul J. & Batsuuri, Tsendsuren & Yudhistira, Muhammad Halley, 2017. "Easing the traffic: The effects of Indonesia’s fuel subsidy reforms on toll-road travel," Transportation Research Part A: Policy and Practice, Elsevier, vol. 105(C), pages 167-180.
    7. Francis Ostermeijer & Hans RA Koster & Leonardo Nunes & Jos van Ommeren, 2021. "Citywide parking policy and traffic: Evidence from Amsterdam," Tinbergen Institute Discussion Papers 21-015/VIII, Tinbergen Institute.
    8. Cohen, Maxime C. & Jacquillat, Alexandre & Ratzon, Avia & Sasson, Roy, 2022. "The impact of high-occupancy vehicle lanes on carpooling," Transportation Research Part A: Policy and Practice, Elsevier, vol. 165(C), pages 186-206.
    9. Ostermeijer, Francis & Koster, Hans & Nunes, Leonardo & van Ommeren, Jos, 2022. "Citywide parking policy and traffic: Evidence from Amsterdam," Journal of Urban Economics, Elsevier, vol. 128(C).
    10. Gaduh, Arya & Gračner, Tadeja & Rothenberg, Alexander D., 2022. "Life in the slow lane: Unintended consequences of public transit in Jakarta," Journal of Urban Economics, Elsevier, vol. 128(C).
    11. Koichi Futagami & Yasuhiro Nakamoto, 2019. "The impacts of pollution control policies on the pollution in small open economies," Discussion Papers in Economics and Business 19-08, Osaka University, Graduate School of Economics.
    12. 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.

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    More about this item

    JEL classification:

    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise

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