Abstract
The article describes an experimental approach focused on developing urban regeneration strategies for Matera, Italy, with a particular emphasis on addressing the needs of all, including people with different kinds of impediment. The study was conducted by a group of students in an urban planning course who selected measures to improve various urban components, including heritage, urban regulation and pedestrian safety. The result was a draft guidelines for the city that can inform public debate on “Planning for migrants, ethnic, minorities and persons with disabilities” and support the city's cultural and tourism development strategy. The study's strengths include its comprehensive view of specific problems and issues, a logical process for connecting problems and solutions, and a reference matrix based on NUA principles. The research contributes to the development of tools and methodologies for NUA downscaling at the local level, leveraging innovative technologies and thematic components of urban design.
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Florio, E. et al. (2023). SuperABLE: Matera Accessible for All. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2023 Workshops. ICCSA 2023. Lecture Notes in Computer Science, vol 14110. Springer, Cham. https://doi.org/10.1007/978-3-031-37123-3_13
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