Extended Abstract
Introduction
Today, climate change has created unstable conditions on the earth, population increase, urbanization, industrial development and excessive use of fossil fuels, destruction of forests, etc. have greatly increased carbon dioxide gas. Since the carbon footprint in cities, especially the cities of industrialized countries, is very large, today many countries in the world are trying to create low-carbon and zero-carbon cities and neighborhoods in order to reduce this footprint. Despite the increasing global attention to this issue in Iran and consequently Khuzestan province and Ahvaz metropolis, its position and importance is not known and it requires managers, planners and specialists in this field to take examples from successful global examples and implement them. with local and regional conditions and using the existing capabilities, to design and present an example of a low-carbon and zero-carbon geographical space in order to reduce carbon emissions and its negative consequences by building such spaces with scientific and modern methods Provide stable environmental conditions. The purpose of this research is to develop a model of low-carbon cities in order to reduce climate change in order to achieve the sustainable development of Ahvaz city in Khuzestan province. In this research, the questions that are raised in order to achieve the goals of this research are, which components and indicators can have a greater impact and importance in reducing greenhouse gas emissions and climate changes in Ahvaz metropolis? And how Ahvaz metropolis will be able to become a low carbon city?
Methodology
In this research, the DANP method was used to form the data and weights of the criteria and sub-criteria in order to obtain the relationships and weights: creating the Dimtel decision matrix, normalizing the Dimtel matrix, forming the Dimtel total communication matrix (TC) forming the communication matrix criteria (TD), normalizing the TC and TD matrix and creating the weighted supermatrix, exponentiation of the weighted matrix and obtaining the final weight. In order to develop a model of a low-carbon geographic space, 7 criteria (components) and 26 sub-criteria (indicators) were extracted and compiled according to the studies and review of related texts. In order to achieve the goals of the research, a questionnaire was compiled in the form of a matrix to examine the effectiveness of pairs in 6 criteria and 15 sub-criteria and was given to 20 experts and they were asked to consider the degree of influence of the two indicators on each other in a spectrum (0 to 4) (no impact to maximum impact) to evaluate, after that data analysis is done by DANP method with Excel software. In order to analyze the carbon reduction of Ahvaz metropolis, selected criteria and sub-criteria were coded. In this section, the analysis of the research data is done. The goal in this compilation is to develop a model of low-carbon cities for the metropolis of Ahvaz in order to reduce climate change and sustainable development. Used. First, the factors are introduced and at the end, the factors are prioritized by the Denap method. Also, the indicators affecting low-carbon cities were extracted in order to reduce climate change and sustainable development, which include 15 indicators (sub-criteria) in 6 main sectors.
 
Results and Discussion
Using the DNAP method, the effectiveness and effectiveness of the research factors are first investigated, and then the importance and weight of the factors are determined. In this step, to evaluate the relationship between the criteria (the effect of one criterion on another criterion) using the opinion of experts based on the spectrum of the table, 20 experts have been used to check the criteria, and we take an arithmetic mean to consider the opinion of all the experts. In this step, we normalize the matrix of direct connections. In order to normalize, we first obtain the sum of the row and column values ​​of the direct communication matrix, then we select the largest number among the total numbers, and each value of the direct communication matrix (Table 8) is based on this number. We divide In this research, the largest number of row and
 
column sum is equal to 41.4. Then we divide all the values ​​of table (8) by this number to get the normalized matrix. To calculate the complete correlation matrix, the same matrix (I_(15*15)) is formed first. Then we subtract the same matrix from the normal matrix (Table 9) and invert the resulting matrix. Finally, we multiply the normal matrix by the inverse matrix. The total relationship matrix is ​​given in table (10). In the next step, the effectiveness of the sub-criteria is determined. The effective sub-criteria are causal criteria and the affectable sub-criteria are of the handicap type. The results are given in table (11). Also, the cause and effect diagram of the indicators is drawn in Figures 2 to 7. Based on this, the following indicators have the nature of cause and effect on the carbon reduction of Ahvaz metropolis in order to reduce climate change and sustainable development. These criteria are considered as important indicators due to their direct and indirect impact on reducing greenhouse gas emissions and improving the urban environment. 1. Use of low energy consumption devices. The development of public transportation, easy and quick access to various places, participation of citizens in the implementation of low-carbon practices, raising awareness and participation of citizens in the implementation of low-carbon measures, has an important impact on energy consumption management and reducing greenhouse gas emissions. Preservation and development of green spaces, 7. Development of supporting and environmentally friendly industries, the results showed that among the main criteria, the access and transportation services sector with a weight of 0.1810 ranked first, the construction sector with a weight of 0.1768 ranked second and the facilities and infrastructure sector It ranks third with a weight of 0.1681. Among the following criteria, the design and form of the building with a weight of 0.0901, the use of low energy consumption devices with a weight of 0.0878, and the promotion of low-carbon lifestyles with a weight of 0.0846 have been ranked first to third, respectively.
 
Conclusion
According to the findings, it is expected that officials, urban planners, architects and those involved in the field of urban issues, through the development of public transportation and the increase of communication and service routes for quick and easy access, not in the patterns of energy consumption, to remove vehicles Worn out from the transportation cycle, use the natural and climatic conditions of the region to reduce energy demand, etc., pay more attention in order to bring Ahvaz metropolis closer to the standards of a low-carbon city and avoid the harmful effects of greenhouse gas emissions and changes Caste climate.