Spatial autocorrelation in the study of neighbourhoods towards smart cities: empirical evidence from Kerman, Iran / Asra Hosseini

Hosseini, Asra (2012) Spatial autocorrelation in the study of neighbourhoods towards smart cities: empirical evidence from Kerman, Iran / Asra Hosseini. Scientific Research Journal, 9 (2). pp. 1-20. ISSN 1675-7009

Official URL: https://srj.uitm.edu.my/

Abstract

From earliest cities to the present, spatial division into residential zones and neighbourhoods is the universal feature of urban areas. This study explored issue of measuring neighbourhoods through spatial autocorrelation method based on Moran’s I index in respect of achieving to best neighbourhoods’ model for forming cities smarter. The research carried out by selection of 35 neighbourhoods only within central part of traditional city of Kerman in Iran. The results illustrate, 75% of neighbourhoods’ area in the inner city of Kerman had clustered pattern, and it shows reduction in Moran’s index is associated with disproportional distribution of density and increasing in Moran’s I and Z-score have monotonic relation with more dense areas and clustered pattern. It may be more efficient for urban planner to focus on spatial autocorrelation to
foster neighbourhood cohesion rather than emphasis on suburban area. It is recommended characteristics of historic neighbourhoods can be successfully linked to redevelopment plans toward making city smarter, and also people’s quality of life can be related to the way that
neighbourhoods’ patterns are defined.

Metadata

Item Type: Article
Creators:
Creators
Email / ID Num.
Hosseini, Asra
UNSPECIFIED
Subjects: B Philosophy. Psychology. Religion > BF Psychology > Spatial behavior. Space
G Geography. Anthropology. Recreation > GT Manners and customs > Houses. Dwellings. Relation to psychology
H Social Sciences > HT Communities. Classes. Races > Urban groups. The city. Urban sociology > Cities and towns > Iran
H Social Sciences > HT Communities. Classes. Races > Neighborhoods
H Social Sciences > HT Communities. Classes. Races > Urban groups. The city. Urban sociology > The city as an economic factor. City promotion
Divisions: Universiti Teknologi MARA, Shah Alam > Research Management Centre (RMC)
Journal or Publication Title: Scientific Research Journal
UiTM Journal Collections: UiTM Journal > Scientific Research Journal (SRJ)
ISSN: 1675-7009
Volume: 9
Number: 2
Page Range: pp. 1-20
Keywords: Neighbourhoods, Smart Cities, Spatial Autocorrelation, Iranian Traditional Cities
Date: 2012
URI: https://ir.uitm.edu.my/id/eprint/11109
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11109

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