Spatial autocorrelation in the study of neighbourhoods towards smart cities: empirical evidence from Kerman, Iran / Asra Hosseini
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 neighbourhood...
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Research Management Institute
2012
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| Online Access: | http://ir.uitm.edu.my/id/eprint/11109/ http://ir.uitm.edu.my/id/eprint/11109/1/AJ_ASRA%20HOSSEINI%20SRJ%2012%201.pdf |
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uitm-11109 |
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eprints |
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uitm-111092016-05-16T08:59:02Z http://ir.uitm.edu.my/id/eprint/11109/ Spatial autocorrelation in the study of neighbourhoods towards smart cities: empirical evidence from Kerman, Iran / Asra Hosseini Hosseini, Asra Spatial behavior. Space Houses. Dwellings. Relation to psychology Iran Neighborhoods The city as an economic factor. City promotion 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. Research Management Institute 2012 Article PeerReviewed text en http://ir.uitm.edu.my/id/eprint/11109/1/AJ_ASRA%20HOSSEINI%20SRJ%2012%201.pdf 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 |
| repository_type |
Digital Repository |
| institution_category |
Local University |
| institution |
Universiti Teknologi MARA |
| building |
UiTM Institutional Repository |
| collection |
Online Access |
| language |
English |
| topic |
Spatial behavior. Space Houses. Dwellings. Relation to psychology Iran Neighborhoods The city as an economic factor. City promotion |
| spellingShingle |
Spatial behavior. Space Houses. Dwellings. Relation to psychology Iran Neighborhoods The city as an economic factor. City promotion Hosseini, Asra Spatial autocorrelation in the study of neighbourhoods towards smart cities: empirical evidence from Kerman, Iran / Asra Hosseini |
| description |
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. |
| format |
Article |
| author |
Hosseini, Asra |
| author_facet |
Hosseini, Asra |
| author_sort |
Hosseini, Asra |
| title |
Spatial autocorrelation in the study of neighbourhoods towards smart cities: empirical evidence from Kerman, Iran / Asra Hosseini |
| title_short |
Spatial autocorrelation in the study of neighbourhoods towards smart cities: empirical evidence from Kerman, Iran / Asra Hosseini |
| title_full |
Spatial autocorrelation in the study of neighbourhoods towards smart cities: empirical evidence from Kerman, Iran / Asra Hosseini |
| title_fullStr |
Spatial autocorrelation in the study of neighbourhoods towards smart cities: empirical evidence from Kerman, Iran / Asra Hosseini |
| title_full_unstemmed |
Spatial autocorrelation in the study of neighbourhoods towards smart cities: empirical evidence from Kerman, Iran / Asra Hosseini |
| title_sort |
spatial autocorrelation in the study of neighbourhoods towards smart cities: empirical evidence from kerman, iran / asra hosseini |
| publisher |
Research Management Institute |
| publishDate |
2012 |
| url |
http://ir.uitm.edu.my/id/eprint/11109/ http://ir.uitm.edu.my/id/eprint/11109/1/AJ_ASRA%20HOSSEINI%20SRJ%2012%201.pdf |
| first_indexed |
2023-09-18T22:47:52Z |
| last_indexed |
2023-09-18T22:47:52Z |
| _version_ |
1777417345751318528 |