Identification of “Hot Spots” of Inner Areas in Italy Scan Statistic for Urban Planning Policies

Italy, like many other European countries, is characterized by the presence of numerous municipalities often placed in areas far from major mobility infrastructures (highways, railways, ports and airports), community services (Health services, Education facilities, Administrative centers) and the ma...

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Bibliographic Details
Published inSocial indicators research Vol. 143; no. 3; pp. 1299 - 1317
Main Authors Perchinunno, Paola, d’Ovidio, Francesco D., Rotondo, Francesco
Format Journal Article
LanguageEnglish
Published Dordrecht Springer Science + Business Media 01.06.2019
Springer Netherlands
Springer Nature B.V
Subjects
Airports
Classification
Community services
Demographic change
Economics
Health education
Health services
Highways
Human Geography
Marginality
Membership
Microeconomics
Mobility
Policy making
Ports
Public Health
Quality of Life Research
Railways
Social research
Social Sciences
Sociology
Statistical Analysis
Statistical methods
Statistics
Surveillance
Transportation
Urban areas
Urban planning
Urban policy
Urban renewal
Italy
Fuzzy logic
Statistical methods
Local self-sustainable development
Urban planning
Place based development policy
Multivariate statistical indices
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Summary:Italy, like many other European countries, is characterized by the presence of numerous municipalities often placed in areas far from major mobility infrastructures (highways, railways, ports and airports), community services (Health services, Education facilities, Administrative centers) and the main economic flows, that are normally defined as “inner areas”. Inner areas are characterized by process of depopulation, economic deficit, marginalization in National and European policies. The study highlights classification methods able to identify the degree of belonging to the class of inner areas. It defines specific indicators able to estimate the level of membership to the inner areas in a scientific way, showing different territorial scenarios. These approaches have been improved using the SaTScan methodology, a circle-based spatial-scan statistical method. It concerns geo-informatic surveillance used as a scientific base to lead urban regeneration policies. The study presented here demonstrates how investigating the inner areas cannot be limited to studying only the distance from the service supply centres, as done by the Italian Ministry ‘s study, but it is necessary to investigate all components of the phenomenon.
ISSN:0303-8300
1573-0921
DOI:10.1007/s11205-018-2005-1