Smart Growth Urban Areas Using Spatial Analysis Techniques Waspas – Fuzzytopsis (Case Study: Kerman City)

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ABDOLLAHI ALIASGHAR; GHASEMI MOSLEM

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Journal: JOURNAL OF THE STUDIES OF HUMAN SETTLEMENTS PLANNING (JOURNAL OF GEOGRAPHICAL LANDSCAPE) Year:2019 | Volume:13 | Issue:4 (45) Page(s): 1003-1019

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Title

Smart Growth Urban Areas Using Spatial Analysis Techniques Waspas – Fuzzytopsis (Case Study: Kerman City)

Author(s)

ABDOLLAHI ALIASGHAR | GHASEMI MOSLEM | Issue Writer Certificate

Keywords

Spatial DistributionQ2

Urban Smart GrowthQ1

WASPASQ1

Fuzzy TopsisQ1

KermanQ1

Abstract

EXTENDED ABSTRACT Introduction The enormous urban-centered process of urbanization has, in addition to the city's physical development, led to the elimination of agricultural land and the imposition of irreparable costs on the urban environment. On the other hand, per capital and inappropriate consumption patterns in cities, they have been exposed to more instability than villages, and has caused many physical, social and economic problems, especially in developing countries. In the past two decades, in response to unstable cities, the example of sustainable urban development has been proposed as a fundamental component influencing the long-term vision of human societies Kerman city, is central Kerman province, although in a handful of large cities, is in a more desirable position in terms of the distribution of urban areas, however, it does not seem ideal to use the districts of this city, and this factor Sustainability of the city of Kerman has encountered difficulties. To this end, in order to achieve a standard status and to succeed in social justice and sustainable cities, it is necessary to consider the distribution of uses in the four areas of this city. Therefore, in this article, in order to achieve the main objective of the research, we are looking for the basic question that is the situation of the regions of Kerman city in terms of urban intelligence and whether there is a significant difference between urban areas in terms of urban intelligence indicators in Kerman. No? Methodology Regarding the purpose of the research, the type of applied research is descriptive-analytic. The statistical population includes Kerman city based on the urban and residential areas and urban areas of 2011. The required information is obtained from the documentary-library and field methodology. Using Fuzzy Topsis multi-criteria decision-making method, urban areas were ranked first for urban intelligence growth indicators and then from WASPAS method to ranking urban areas to the effects of each criteria (socio-economic, physical, access and environmental) is based on the combined indicator of Urban Smart Growth. Results and Discussion In this section, the step-by-step technique used by Chen and Huang for a multi-criteria decision-making problem withn criteria and option is described in step-by-step. If triangular fuzzy numbers are used in the problem. In this case, Xij = aij, bij, cij. If the evaluation of options is based on criteria, then a questionnaire is made of a group of k members and the fuzzy evaluation of the decision maker (Xijk = aijk, bijk, (cijk). Given the combined fuzzy ranking criteria, options can be considered based on the following relationships. One of the newest decision making techniques. This model is presented in 2012 and is recognized as one of the strong MCDM methods. This method is a combination of WSM and WPM. In this research, the three regions of Yazd were first ranked for each indicator (physical index, environmental index, accessibility index, economic index). Finally, according to the total indicators, this ranking was made. As the results of the Fuzzy Topsis Technique are derived, the urban areas of Kerman are ranked 3rd, 2nd, 3rd and 2rd respectively, respectively. Has. The results of this study showed that, according to the physical index of the 4, 3, 2, 1 regions, 4, 2, 1, 3 were ranked accordingly. Based on this, the major volume and physical indicators of Urban Smart Growth in the city of Kerman belong to the 2nd area (commercial-service, educational, land cover for residential, administrative, social services, industrial workshops, urban facilities, residential units and worn out land) is. As it is known, according to the social and economic index, regions 3, 2, 1 and 4 ranked 4, 3, 1, 2 respectively. Major socioeconomic indicators are located in the second region of Kerman. As it is known, according to the environmental index of the regions 3, 2, 1, 4, they achieved the rank of 4, 3, 2, 1, respectively. As it is known, according to the index of access to areas 4, 3, 2, 1, they ranked 2, 1, 3, and 4, respectively. Conclusion In fact, the Smart Growth Strategy attempts to shape cities and direct them to a capable community with good access to the environment. Major cities of the country are in a more desirable position in terms of the distribution of urban areas in the urban areas, but despite the fact that distribution in the quaternary districts of this city does not seem to be ideal, this problem has caused the sustainability of the city of Kerman. To this end, in order to achieve a standard status and to succeed in social justice and urban intelligent growth, it is necessary to consider the distribution of uses in the four areas of this city. Therefore, in the present article, in order to achieve the main objective of the research, we investigate the situation of intelligent growth in the regions of Kerman. Based on the results obtained from the Fuzzy Topsis multi-index technique, the urban areas of Kerman are ranked 3rd with a value of 0. 462; respectively, the second one (ranked 1) with a value of 0. 634; the third region (rank 2) with the value (0. 559); and the fourth (rank 4) with the value (0. 441). In the further research, the components and analysis of the city of Kerman have been used using the VASPAS technique. The results of the study show that in terms of physical indicators, the 4, 3, 2, 1 regions are ranked 4, 2, 1, 3; In terms of socio-economic indicators, regions 3, 2, 1 and 4 ranked 4, 3, 1, 2; in terms of environmental indicators, 1, 2, 3, 4 regions were ranked 2, 3, 4, 1 and finally, using the access indicators, the 4, 3, 2, 1 regions ranked 2, 1, 3, 4, respectively. Accordingly, in response to the main research questions, it can be said that the situation in Kerman regions based on urban intelligence growth indicators is not ideal and urban areas have a significant difference in terms of urban intelligent growth.

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APA: Copy

ABDOLLAHI, ALIASGHAR, & GHASEMI, MOSLEM. (2019). Smart Growth Urban Areas Using Spatial Analysis Techniques Waspas – Fuzzytopsis (Case Study: Kerman City). JOURNAL OF THE STUDIES OF HUMAN SETTLEMENTS PLANNING (JOURNAL OF GEOGRAPHICAL LANDSCAPE), 13(4 (45) ), 1003-1019. SID. https://sid.ir/paper/176074/en

Vancouver: Copy

ABDOLLAHI ALIASGHAR, GHASEMI MOSLEM. Smart Growth Urban Areas Using Spatial Analysis Techniques Waspas – Fuzzytopsis (Case Study: Kerman City). JOURNAL OF THE STUDIES OF HUMAN SETTLEMENTS PLANNING (JOURNAL OF GEOGRAPHICAL LANDSCAPE)[Internet]. 2019;13(4 (45) ):1003-1019. Available from: https://sid.ir/paper/176074/en

IEEE: Copy

ALIASGHAR ABDOLLAHI, and MOSLEM GHASEMI, “Smart Growth Urban Areas Using Spatial Analysis Techniques Waspas – Fuzzytopsis (Case Study: Kerman City),” JOURNAL OF THE STUDIES OF HUMAN SETTLEMENTS PLANNING (JOURNAL OF GEOGRAPHICAL LANDSCAPE), vol. 13, no. 4 (45) , pp. 1003–1019, 2019, [Online]. Available: https://sid.ir/paper/176074/en

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