This article was originally published by Christopher Carey on Cities Today, the leading news platform on urban mobility and innovation, reaching an international audience of city leaders. For the latest updates, follow Cities Today Twitter, Facebook, LinkedIn, Instagramand YouTubeor join Cities Today News.
The Estonian capital Tallinn introduces a digital transport model it says it can anticipate and analyze the city’s mobility needs to improve urban planning.
The tool includes data on 130,000 different road sections across the city that are constantly updated, and takes into account the movement of cars, public transport, trucks and pedestrians.
It can also distinguish between 12 different types of road users or user groups, including students, workers, and retirees, and also considers complex movement patterns such as whether a person is driving children to school on the way to work.
“[The model] It makes it possible to anticipate transportation problems and understand their causes, and to make decisions that support the overall development of the city and to anticipate the effects of decisions to be made, ”said Andrei Novikov, deputy mayor of Tallinn.
“It is not a tool for a specific project, but a constant internal analysis tool that can be used to assess the feasibility and impact of major infrastructure investments on traffic.
“Among other things, we can assess the different needs of the people in each region [and] the traffic simulations used in the model can, for example, make better decisions about what one or the other’s capacity needs should be today, or, for example, evaluate decisions to upgrade the city’s public transportation network. “
Developed by the Tallinn Transport Authority in conjunction with German software company PTV Group, the model includes all mobile data available to the city, including an analysis of the results of social surveys conducted in the city over the past five years, the road network and traffic frequencies.
Source
Cities Today