Urban Planning
Mohammad Hossein Khodabakhsh; parviz norouzi sani; karim hosseinzadeh dalir
Abstract
Introduction Smart growth in urbanization creates communities that are environmentally friendly, close to nature, and protect open spaces and valuable land, restoration of life, limiting the peripheral growth of the city, reducing personal reliance on cars, and so on. It helps communities to develop ...
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Introduction Smart growth in urbanization creates communities that are environmentally friendly, close to nature, and protect open spaces and valuable land, restoration of life, limiting the peripheral growth of the city, reducing personal reliance on cars, and so on. It helps communities to develop economies, create jobs, create strong and sustainable areas, and protect the health of the community and the family. The main objective of this research is to determine the level of smart growth indices in the regions of Tabriz city so that by identifying deficiencies and inequalities in the city, proper planning is planned to reduce the harmful effects of urban sprawl growth, such as traffic, pollution and reduction of injustice and Increase citizens' access. Materials and Methods In this research, smart growth indicators were divided into five major indicators, spatial parameters, housing, physical, and land use, environmental and access, and the amount of each was calculated at the level of ten regions of the city. Utilizing the multi-criteria decision-making model of Topsis and using the entropy-weighting model, we analyzed the spatial structure and the distribution of 71 criteria and ranking the different areas of Tabriz city. Tapsis, as a multi-indicator decision-making method, is a simple but efficient method of ranking-priority. In the TOPSIS method, the selected option should have the shortest distance from the ideal answer and the furthest distance from the most inefficient answer. Required data from different sources including Tabriz Municipality, Population and Housing Statistics of 2011 were obtained from Statistics Organization of Iran. In the following per capita indicators such as per capita urban services such as medical and educational, demographic, housing and biological parameters by different functions of the GIS, calculation and parameters of the topsis model and Shannon entropy weighing method in software Excel calculated and the value of tapis in each of the intelligent growth indices in Tabriz 10 regions was determined. Tabriz is one of the major cities in Iran and the capital of the East Azarbaijan province. The city, the third largest city in the country after Tehran and Mashhad, is the largest city in the northwestern region of Iran, and is the administrative, communications, commercial, political, industrial, cultural and military area of this region. The largest active heavy industry in the city includes a wide range of cement, textile, machinery and petrochemical industries. Discussion and Results The results showed that in the indicator of the combination of intelligent growth, the 9th and 2nd regions, with the value of tapes are 0.23 and 0.13, ranked first and second, and regions 3th and 1th with the value of 0.065 and 0.064 in the last rank they got. There is also a large difference between Tabriz regions in each of the parameters studied, such as women's employment, per capita services, type of residence and so on, also new urban areas have a better ranking than the old ones in intelligent growth indices. In the demographic index that included criteria such as female employment, literacy, immigrants, undergraduates, etc., Region 2, Rank 1 and Region 10 ranked the last. In the housing index, with criteria such as type of apartment housing, access to drinking water, sewage network, etc., the 5th and 7th conditions were better conditions, and the 4th and 10th regions did not have the proper conditions. In the access index with the criteria for the length and area of the network and transportation equipment, area 6 was ranked first and the 9th ranked. In the environmental Index with per capita parks, gardens, and agriculture and ..., the 9th region has the most and the 4th and 3rd areas have the lowest level. In the physical and land use index with the criteria such as per capita of health services, education, business, etc., net, the 9th zone had the highest rate and the 4th and 1th zone had the lowest. Finally, the combined index of all 71 criteria was considered, with the 9th ranked first and the 1st zone. In addition, the new urban areas of 9 were also better off than the older ones in terms of physical, demographic, biological and smart growth compilations. Conclusions The results of the research indicate that the indicators are inappropriate distribution in the city of Tabriz. Therefore, it is desirable to address the heterogeneous distribution and urban planning in the direction of the path of sustainable development and intelligent growth to be taken into consideration by officials and managers of the city. In the next research, it is suggested that some parameters such as per capita energy consumption, etc. that were not available in this study should not be considered. The data of this research was related to 2011, it is suggested that the results of this research be compared with the results of newer years in order to better reflect changes in the indicators of intelligent growth, especially in new areas such as Logic 9.
Urban Planning
Mir satar Sadrmosavi; Mohammadreza Pourmohammadi; Akbar Rahimi
Volume 19, Issue 54 , February 2016, , Pages 189-209
Abstract
Urban sprawl and land use changes are one of the fundamental challenges facing urban planning in recent years. Therefore, modeling these changes is considered as an important tool by planners, economists, ecologists and environmentalists. This paper is an attempt to apply the Land Transformation Model ...
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Urban sprawl and land use changes are one of the fundamental challenges facing urban planning in recent years. Therefore, modeling these changes is considered as an important tool by planners, economists, ecologists and environmentalists. This paper is an attempt to apply the Land Transformation Model (LTM) for urban land use changes in Tabriz based on artificial neural network and a geographical information system for the in prediction of Tabriz future development. Methodology in this paper is descriptive-analytic and the data are produced from satellite images, urban land use maps and approved plans for Tabriz. For preparation of data and analysis, ERDAS imaging and ArcGIS software, and for training test, simulation and the probable prediction map, LTM software are used. Results in training process, from 1989 to 2005 shows that 21469 cells (50*50 m) were expanded in 16 years period which is according to the real developed area in the same period and this result shows optimum training network. For prediction of probability map, we used Tabriz population and land use per capita was estimated in regional plan of Tabriz, and results illustrate 22484 cells changing until 2021 for future development. The results of the model, have predicted the most developed areas in the northwestern, east and south-east aspects and continuing this process would destroy green spaces, agricultural lands surrounding the city and threaten the environment. Thus, with this expansion, 8437 ha of green spaces and periphery areas will go on the built area. Continued sprawl development not only will destroy urban environment in periphery areas, but it also will disrupt spaces in Tabriz and there by will increase urban development costs such as infrastructure services.
Khodarahm Bazzi; Masoomeh Vahdaty
Volume 18, Issue 49 , November 2014, , Pages 1-18
Abstract
Form and pattern of urban growth is a sign of growth and spread in variety stages and environment. This is related to social, economical, natural and human factors. This has a different pattern and had influencing to above factors, special social and economical factors. This article studies evaluation ...
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Form and pattern of urban growth is a sign of growth and spread in variety stages and environment. This is related to social, economical, natural and human factors. This has a different pattern and had influencing to above factors, special social and economical factors. This article studies evaluation of urban growth compression and sprawl rate and its effects to increasing of household’s costs. Research method is analytic- survey and based on documents and questionnaires, data and information are consisting of indicators and criteria such as; area, population and density with use Holdren and Moran coefficient models. These data particularly urban journeys had tested to Chi Square and related to assessment of urban growth compression and sprawl rate in Bojnourd. In this research after of concluded of growth pattern and sprawl rate, studied three neighborhoods in three textures in Bojnourd. Results show urban sprawl in continuation stages with 46% in recent decade comparison to other decades. This process increased of automobile use and increased household’s economical costs.
