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Congestion pricing in South America

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As Intertraffic turns its attention to South America for its show in Mexico City this November, Django Mathijsen takes a look at Bogotá’s innovations in congestion pricing, and how a new smartphone app could soon help Colombia’s capital implement pay-per-mile road user charging. An extended version of this article will be published in the forthcoming Intertraffic World 2023 magazine.

Although Bogotá has been fighting congestion for decades, restricting private vehicles and investing in bike lanes and public transport, it still is one of the most congested cities on the planet. But traffic managers are working hard with scientists and engineers on an innovative tool to curb the looming gridlock: flexible congestion pricing which doesn’t require large investments.

Bogotá has an extensive public transport system with high-capacity buses on segregated lanes along highways, and smaller buses sharing regular streets with other transport modes. Every four years, mobility is assessed: in 2019, walking was still the most popular mode of travelling, public transport was used in around 30% of trips, cars 14% and motorcycles 7%.

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Over 2,530 people applied to participate, of which 225 became ParceGo users, recording all their trips with the app.

ClearRoad asked Cornell Tech to analyze the data and help determine a suitable pricing scheme. “It’s a great opportunity for learning from data to test our ideas,” says Andrea Lodi of Cornell Tech, who is a researcher in mathematical optimization, working on traffic management. “We hope to be able to contribute to the wellbeing in cities.”

Getting access to this kind of data is rare, but Lodi feels it is improving: “There is a big movement toward smart cities. Big cities are dealing with lots of problems. A huge amount of work is being done by scientists and practitioners trying to fix them. Data is the new resource everyone is looking to. Simulations and data analyses help us better predict the effect of policies. As a scientist, and citizen of the city of New York, I’m optimistic about data use in trying to mitigate some of the problems.”

If the problem is formulated correctly, congestion pricing should be able to reduce congestion and decrease the use of private cars. It should spread pollution and increase public transport use.

The app registers the path a participant takes, and surveys are held to understand at which prices people will decide to use public transport or cancel their trip. “Cancelling is an extreme situation,” Lodi comments, “maybe sometimes not even the right one. But considering nowadays we also have more working from home, maybe that is one way.”

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