
Like any other discipline or science, urban planning is dedicated to the empirical study of planning and organizing cities and territories. It faces not only the challenges of designing agile mobility, planning accessible residential fabric, allocating land for economic activities, and efficiently managing environmental and energy impacts, but also the ultimate goal of making the resulting cities as livable as possible.
Named after Arturo Soria, Arturo is an algorithm trained by citizens and designed to determine which urban variables make our cities more livable. Much like Arturo Soria himself—whose commitment to livability was evident in projects like the Ciudad Lineal—the algorithm aims to turn livability into a measurable parameter, into objective data. To achieve this, it relies on the input of thousands of citizens to build an accurate picture of what makes a city livable.



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