Application Of Geographical Information System And Smart Growth Modelling For Identification Of Ineffective Quarters In Bandar Abbas, Iran
During recent decades, planning and management of urban land use has had an important role in development of social and economy of countries. On the other hand expansion of land use can be managed by using geospatial data and development patterns. In Bandar Abbas city, the management of urban dev...
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| Main Author: | |
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| Format: | Thesis |
| Language: | English English |
| Published: |
2009
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| Online Access: | http://psasir.upm.edu.my/id/eprint/12447/1/ITMA_2009_6A.pdf http://psasir.upm.edu.my/id/eprint/12447/ |
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| Summary: | During recent decades, planning and management of urban land use has had an
important role in development of social and economy of countries. On the other hand
expansion of land use can be managed by using geospatial data and development
patterns. In Bandar Abbas city, the management of urban development are by trial
and error urban land policies as compared to other cities due lack to the of accurate
and complete geospatial data. It has been caused by the overgrowing population and
migration towards the city without planning. In addition, the inefficiency and very
old buildings had also contributed and became the main reason for low quality of
urban life in District 1. The aim of this research was to recognize and identify the
development patterns for inefficient quarters in District 1 with an inclination towards
the use of AHP and Smart Growth models. To achieve appropriate patterns for
managing and identifying the utilization of land in quarters, a spatial and attribute database in the GIS environment was used. The relationship between effective
factors namely land use, population, density and construction of the development
were considered in the analytical process.
The investigation was carried out to locate capable region for urban development in
the inefficient areas of District 1 in the Region 3 of Bandar Abbas. The use of AHP
and Smart Growth model in GIS environment were implemented to the collected
geospatial database. The collected information includes the land use of the present
condition, the procedure of urban development and the effective factors over
inefficient land use.
The procedure of this research started with the reconnaissance of effective
parameters upon land development in the surveyed region. Having identified the
effective factors, layer classification was generated according to their degree of
importance and criteria through the use of AHP model. It was implemented to
identify suitable site for developing urban users in District 1. Then the Smart Growth
model was used to generate zones under the surveyed region according to the kind of
operation in inefficient patterns and land use. In Smart Growth model on the basis of
divisions of land use it has been designed into three zones of Regional Center
Development (RCD), Traditional Neighborhood Development (TND), and Special
District (SD). Finally by investigating the relationships and their effects towards each
other, and by determining smart code for each zone, the development pattern and
inefficient control in District 1 were identified.The results achieved from this research have successfully identified the suitable lands
for urban uses development and identify patterns of user control and land
development in inefficient quarters of District 1. According to the results obtained
from AHP model central and western portion are appropriate for development. Based
on the results obtained from zoning in District 1 and also the Smart Growth model, a
major part of the inefficiency of available textures in the quarters of District 1 is due
to existing incompatible land uses, being old and obsolete residential and non
residential textures, poor management, lack of supervision regulations and
comprehensive lack of administrative laws. |
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