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Moscow is world's most gridlocked city

Inrix’s latest Global Traffic Scorecard identifies and ranks congestion and mobility trends in over 200 cities across 38 countries.

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Moscow lost 210 hours to congestion in 2018
Moscow lost 210 hours to congestion in 2018

Moscow has emerged as the world’s most gridlocked city with 210 hours lost due to congestion followed by Istanbul (157 hours), Bogota (272 hours), Mexico City (218 hours) and São Paulo (154 hours).

 

Congestion and mobility trends in more than 200 cities, across 38 countries were identified and ranked for Inrix’s 2018 Global Traffic Scorecard, and these figures above include a weighting for population size.

 

Latin America’s rapid urbanisation

 

According to Inrix, the dominance of Latin American cities should not be a surprise due to their rapid urbanisation, high levels of informal settlements, unforgiving topographies and financial volatility.

 

Meanwhile, Boston and Washington DC ranked as the most congested cities in the United States with 164 hours lost due to congestion and 155 hours respectively.

 

On average Americans lost 97 hours a year due to congestion, costing them nearly $87bn in 2018, an average of $1,348 per driver.

 

In the US, congestion and the severity of it was analysed in the top 60 urban areas. Boston and Washington DC also came in at 15 hours per year more than the next most congested cities, Chicago (138 hours) and Seattle (138 hours).

“If we’re to avoid traffic congestion becoming a further drain on our economy, we must invest in intelligent transportation systems to tackle our mobility challenges”

New York City (133 hours), Los Angeles (128 hours), Pittsburgh (127 hours), Portland (116 hours), San Francisco (116 hours), Philadelphia (112 hours) round out the top 10 most congested US cities.

 

More positively, Boston was the only US city included in the top 10 most congested cities worldwide.

 

“Congestion costs Americans billions of dollars each year. It will continue to have serious consequences for national and local economies, businesses and citizens in the years to come,” said Trevor Reed, transportation analyst at Inrix.

 

“If we’re to avoid traffic congestion becoming a further drain on our economy, we must invest in intelligent transportation systems to tackle our mobility challenges.”

 

Applying big data to tackle congestion

 

Good data is the first step in tackling congestion, said Inrix. Applying big data to create intelligent transportation systems is key to solving urban mobility problems.

 

Its data and analytics on traffic, parking and population movement aims to help city planners and engineers make data-based decisions to prioritise spending in order to maximise benefits and reduce costs now and for the future.

 

It claims the key findings of the 2018 Global Traffic Scorecard provide a quantifiable benchmark for governments and cities across the world to measure progress to improve urban mobility and track the impact of spending on smart city initiatives.

 

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