This study presents the development of an urban–rural continuum index (URCI) for the 7,904 Italian municipalities, offering a multidimensional classification framework based on official statistics. Drawing on demographic, economic, and infrastructural indicators, such as population density, growth, foreign presence, agricultural land use, and hospital infrastructure, the index captures the complex and gradated nature of urbanization across Italy. After addressing multicollinearity and standardizing the data, we aggregated selected indicators into a composite score rescaled between 0 and 100. The resulting spatial patterns highlight persistent urban–rural divides, particularly the north–south and mainland–island cleavages, while also identifying transitional periurban areas. Our results provide a robust, policy-relevant tool to support regional development planning, infrastructure allocation, and the implementation of Italy’s National Strategy for Inner Areas. The URCI contributes methodologically by overcoming binary classifications and advancing a replicable, data-driven model for spatial inequality analysis.
Chapter 10 - Deriving an urban–rural continuum index for Italian municipalities: A quantitative assessment using official statistics / Aditi, Anwesha; Lovreglio, Julian; Nehuén Marturet, Tomás; Venneri, Nicola. - (2026), pp. 383-397. [10.1016/B978-0-443-45637-4.00009-0].
Chapter 10 - Deriving an urban–rural continuum index for Italian municipalities: A quantitative assessment using official statistics
Anwesha Aditi
Primo
Writing – Original Draft Preparation
;Julian Lovreglio
Writing – Original Draft Preparation
;Nicola Venneri
Writing – Original Draft Preparation
2026
Abstract
This study presents the development of an urban–rural continuum index (URCI) for the 7,904 Italian municipalities, offering a multidimensional classification framework based on official statistics. Drawing on demographic, economic, and infrastructural indicators, such as population density, growth, foreign presence, agricultural land use, and hospital infrastructure, the index captures the complex and gradated nature of urbanization across Italy. After addressing multicollinearity and standardizing the data, we aggregated selected indicators into a composite score rescaled between 0 and 100. The resulting spatial patterns highlight persistent urban–rural divides, particularly the north–south and mainland–island cleavages, while also identifying transitional periurban areas. Our results provide a robust, policy-relevant tool to support regional development planning, infrastructure allocation, and the implementation of Italy’s National Strategy for Inner Areas. The URCI contributes methodologically by overcoming binary classifications and advancing a replicable, data-driven model for spatial inequality analysis.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.


