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Original Articles - Urban, Land, Environmental Appraisal and Economics

Exploratory data analysis to support the second SNAI programming cycle

Cecilia Torriani
Interuniversity Department of Regional and Urban Studies and Planning, Politecnico di Torino and Università di Torino, Italy
Alice Barreca
Department of Architecture and Design, Politecnico di Torino, Italy
Manuela Rebaudengo
Interuniversity Department of Regional and Urban Studies and Planning, Politecnico di Torino and Università di Torino, Italy
Diana Rolando
Department of Architecture and Design, Politecnico di Torino, Italy

Published 2025-10-30

Keywords

  • Inner Areas cohesion policy,
  • SNAI strategies development,
  • Economic rural development

Abstract

In 2012, the Italian “National Strategy for Inner Areas” (SNAI) was approved to enhance essential services (transport, education, healthcare) and boost economic growth in underdeveloped areas. After more than ten years since the first SNAI programming cycle (2014-2020) and at the beginning of the second one (2021-2027), this research analyses the thematic scopes and funding of projects implemented during the first SNAI cycle to support local authorities in the second cycle. The analysis focuses on the four Inner Areas of Piedmont to support the SNAI strategy development process in Valsesia, which was designated as one of the new Piedmont Inner Areas in 2022. The study, part of the B4R - Branding4Resilience project, uses government open data and Exploratory Data Analysis to examine the geographic and thematic distribution of SNAI interventions. Results show the allocation of projects and public funds, identifying popular themes and gaps. Among the most significant findings, the thematic scopes of “Transport and Mobility” and “Social Inclusion and Health” emerged as the most funded, while scopes such as “Environment”, “Research and Innovation” and “Employment and work” were significantly underrepresented, especially in Piedmont. Understanding the strengths and weaknesses of the first cycle is crucial for refining future strategies, avoiding past inefficiencies, and maximising the impact of upcoming interventions. Insights drawn from the analyses aim to support local authorities in addressing new interventions and actions, enhancing strategic planning for territorial projects.

References

  1. Funder: Ministero dell'università e della ricerca (MUR, Italy)
  2. Project number: 201735N7HP