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The marginal cost of traffic congestion and road pricing: evidence from a natural experiment in Beijing

By: Yang, Jun, Avralt-Od Purevjav, and Shanjun Li.
Material type: materialTypeLabelBookPublisher: American Economic Journal: Economic Policy Description: 12(1), Feb, 2020: p. 418-453.Subject(s): Economic Development - China In: American Economic Journal: Economic PolicySummary: Severe traffic congestion is ubiquitous in large urban centers. This paper provides the first causal estimate of the relationship between traffic density and speed and optimal congestion charges using real-time fine-scale traffic data in Beijing. The identification relies on plausibly exogenous variation in traffic density induced by Beijing's driving restriction policy. Optimal congestion charges range from 5 to 39 cents per km depending on time and location. Road pricing would increase traffic speed by 11 percent within the city center and lead to an annual welfare gain of ¥1.5 billion from reduced congestion and revenue of ¥10.5 billion.- Reproduced
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Articles Articles Indian Institute of Public Administration
12(1), Feb, 2020: p. 418-453 Available AR123226

Severe traffic congestion is ubiquitous in large urban centers. This paper provides the first causal estimate of the relationship between traffic density and speed and optimal congestion charges using real-time fine-scale traffic data in Beijing. The identification relies on plausibly exogenous variation in traffic density induced by Beijing's driving restriction policy. Optimal congestion charges range from 5 to 39 cents per km depending on time and location. Road pricing would increase traffic speed by 11 percent within the city center and lead to an annual welfare gain of ¥1.5 billion from reduced congestion and revenue of ¥10.5 billion.- Reproduced

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