Land consumption is a significant problem in all economies, as it is having a significant impact on the quality of the environment. These effects include soil sealing, increased hydrogeological hazards, diminished pollution and greenhouse gas sequestration, and intensified competition over land for human activities. This problem is closely related to the phenomena of urban and non-urban sprawl. In this study we delve into the growing problem of land consumption, investigating its correlation with economic development. Our analysis focuses on the Italian context, using provinces as an intermediate administrative scale, and analyzes the evolution of land consumption over the past two decades in relation to economic development (GDP). We use spatial analysis techniques and local indicators of spatial association (LISA) to investigate both local effects and spatial clustering. Over the years examined, distinct spatial patterns of land use proximity emerge, showing areas with pronounced land use dominance in nearby locations. The implications of these findings may be notable for policy makers at the local, regional and national levels as they guide land development strategies.

Investigating the Relationship Between Land Use and Wealth in Italian Provinces

Pontarollo N.
2024-01-01

Abstract

Land consumption is a significant problem in all economies, as it is having a significant impact on the quality of the environment. These effects include soil sealing, increased hydrogeological hazards, diminished pollution and greenhouse gas sequestration, and intensified competition over land for human activities. This problem is closely related to the phenomena of urban and non-urban sprawl. In this study we delve into the growing problem of land consumption, investigating its correlation with economic development. Our analysis focuses on the Italian context, using provinces as an intermediate administrative scale, and analyzes the evolution of land consumption over the past two decades in relation to economic development (GDP). We use spatial analysis techniques and local indicators of spatial association (LISA) to investigate both local effects and spatial clustering. Over the years examined, distinct spatial patterns of land use proximity emerge, showing areas with pronounced land use dominance in nearby locations. The implications of these findings may be notable for policy makers at the local, regional and national levels as they guide land development strategies.
2024
Computational Science and Its Applications – ICCSA 2024 Workshops. ICCSA 2024. Lecture Notes in Computer Science
Nessuno
Gervasi, O., Murgante, B., Garau, C., Taniar, D., C. Rocha, A.M.A., Faginas Lago, M.N
SH3_9 Spatial development, land use, regional planning
Esperti anonimi
Inglese
The 24th International Conference on Computational Science and Its Applications
July 1- 4, 2024
Hanoi, Vietnam
Internazionale
ELETTRONICO
14817 LNCS
401
412
12
9783031652370
9783031652387
SPRINGER INTERNATIONAL PUBLISHING AG
Land Use; LISA Methods; Spatial Analysis; Land Consumption
https://link.springer.com/chapter/10.1007/978-3-031-65238-7_27
no
Goal 11: Sustainable cities and communities
none
Borruso, G.; Gallo, A.; Magris, F.; Pontarollo, N.
273
info:eu-repo/semantics/conferenceObject
4
4 Contributo in Atti di Convegno (Proceeding)::4.1 Contributo in Atti di convegno
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11379/611305
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? 0
social impact