Introduction: At the level of society, one of the important features of social PROSPERITY is that a person has a high sense of health, security and happiness. This study was conducted with the aim of investigating the health status of Iran compared to other MENA countries in the Legatum PROSPERITY INDEX. Methods: The present research method was descriptive-comparative. The research population of this study was all the countries of the MENA region, including the Middle East and North Africa region. Health data were collected from the perspective of the Legatum PROSPERITY INDEX from 2013 to 2023 of the studied countries. One-sample parametric statistical test was used for data analysis and SPSS version 20 software. Results: According to the results of the statistical test, the findings of the research indicated that according to the report of the Legatum Institute, a significant difference was observed between the health score of Iran and other MENA countries, and Iran's health score was significantly higher than the average score of the MENA countries. Conclusion: The evaluation of Iran's health indicators based on international documents can be helpful in the field of health policies. In the field of health, Iran's situation is relatively favorable compared to the average of other MENA countries, but in other fields, it has to go a long way to reach a high level of well-being.

The changes caused by the rapid growth of urbanization have faced cities, especially metropolises, with serious economic, social, environmental and infrastructural challenges and issues. In this regard, the City PROSPERITY INDEX has been proposed as a broad conceptual framework for measuring development and human and social welfare, in relation to the quantity and quality of urbanization. In this research, with a descriptive analytical approach and with the aim of measuring and evaluating the condition of infrastructure and the factors affecting it in the four regions of Ardabil, the effects of this INDEX on improving the City PROSPERITY INDEX have been investigated. To achieve the research goal, 28 sub-criteria have been used. The information and data required in this research have been collected using library resources, statistics of 2016 and also referring to relevant institutions and organizations. For analysis, the data were standardized and the network analysis process (ANP) was used to weight each of the indicators. Then, using R statistical software and Prometheus multi-indicator decision-making method for City PROSPERITY, each of the four districts of Ardabil was scored. The results show that districts 1 and 2 of Ardabil city are in a relatively weak condition in terms of having an City PROSPERITY INDEX based on the infrastructure component and districts 3 and 4 are in a weak condition and due to the concentration of facilities in the central districts of the city, City PROSPERITY is reduced from the city center to the suburbs in all four areas. Also, the ranking of regions shows that regions one and four, with a score of 52. 39 and 48. 64, respectively, have the highest and lowest City PROSPERITY in terms of infrastructure.

The rapid growth and development of the city of Ahwaz has been encountered with many problems، such as the formation of marginal areas without a wastewater treatment system، the existence of various types of industrial wastewater، agriculture and home around the Karoon، and the presence of an undesirable phenomenon of dust. Considering the urban development of this region، it seems inevitable. Accordingly، the present study aims to measure، analyze and prioritize the urban areas of Ahvaz in terms of flourishing components. The concept of urban flourishing has different components: productivity، infrastructure، quality of life، social inclusiveness and environmental sustainability، which is very important for the realization of urban development. The data and data required in this research were collected using a questionnaire and a statistical questionnaire. The collected data were analyzed using SPSS software، and GIS software was used to map the map. To determine the weight of the components، the comments of 30 of the experts were calculated using the APC method. The results of the Tapis model in Ahwaz، the 2nd and 1nd regions are fully flourishing، the 6th، 3rd and 8th regions are relatively prosperous، the 7th regions are in the low PROSPERITY region، and finally the 4th area is in the category of urban flourishing. Are. Investigation of Pearson correlation coefficient between population dispersion and PROSPERITY level in the city indicates that there is no effective relationship between the two variables.

Rapid urban growth and unbalanced development, and consequently the increase in urban population on the one hand, and the complexity of urban issues on the other, have posed serious challenges to cities. In this regard, the model of City PROSPERITY proposes a new approach to urban PROSPERITY and sustainability and seeks a fundamental solution to improve the quality of life. In this research, with an analytical-descriptive approach and with the aim of measuring and comparing the quality of life and the factors affecting it in different areas of Ardabil, the effects of this INDEX in improving the City PROSPERITY INDEX have been investigated. 18 sub-criteria have been used to achieve the research goal. The information and data required in this research have been collected using library resources and statistics for 2016. For analysis, the data were standardized and the network analysis process (ANP) was used to weight each of the indicators. Then, using the Prometheus model, City PROSPERITY is scored for each of the four districts of Ardabil. The results show that districts 1 and 2 of Ardabil city are in a relatively poor condition in terms of quality of life based on the quality of life component and districts 3 and 4 are in a poor condition. Also, the ranking of regions shows that region one and region four, with a score of 50. 69 and 49. 16, respectively, have the highest and lowest rates of City PROSPERITY INDEX based on the quality of life component.

1. Introduction: Today, one of the main goals of policymakers is to improve the quality of life and increase the level of welfare of the society. One of the main indicators of the progress of countries is its PROSPERITY INDEX. PROSPERITY is more than just the accumulation of material wealth; it is also the joy of everyday life and the prospect of an even better life in the future. This is true for individuals as well as nations. The PROSPERITY INDEX is a function of various variables over time that has been investigated by researchers and institutes, including the Legatum institute. The Legatum Institute exists to promote policies that create pathways from poverty to PROSPERITY. The journey towards PROSPERITY is therefore not just about what we contribute, but about who we become.

Decision-making is a critical aspect of governance, and data mining and machine learning algorithms can significantly enhance this process. By leveraging predictive models generated through these algorithms, policymakers can make more informed and accurate decisions. Since such models rely on historical data, the Legatum PROSPERITY INDEX serves as a valuable source for this analysis. In this study, Bagging and Boosting algorithms are employed to develop predictive models and analyze various indicators across different continents. The results demonstrate the effectiveness of these algorithms in forecasting key indicators and reveal notable differences in the influential factors across regions. These findings can support policymakers in formulating targeted strategies to enhance governance and living standards, considering regional characteristics and priorities. Furthermore, providing predictive models for each indicator allows countries to forecast and assess the impact of improving a specific indicator on others.

PROSPERITY is a wide concept which has been proposed in 2012 by United Nations in relation with balanced and harmonic development in environment accompanied by fairness and justice. A kind of social construction which frames human activities. This concept has been introduced by six aspects with their sub criteria: 1. Productivity or economic growth with the basis of production, making wealth, and employment 2. Quality of life 3. Urban governance and legislation 4. Environmental sustainability 5. Equity and social participation 6. Developing infrastructure with its corresponding sub criteria. In this research, with analytical-descriptive approach the assessment and comparison of eleven Shiraz municipality regions according to urban PROSPERITY INDEXes has been performed. In this case, with mentioning documentary and library resources, urban PROSPERITY INDEXes has been analyzed and investigated. Therefore corresponding measures in current conditions of Shiraz would be identified. Afterwards for quantifying and gathering the data needed, from experts’ point of view, profound interviews and questionnaires has been practiced. It is necessary to say that the number of statistic samples initially defined from experts and specialists were 60 samples that finally 30 questionnaires were analyzed. For data analysis and measuring final urban PROSPERITY number in regions, Fuzzy-AHP has been used and for weighing INDEXes in this model a survey has been done from experts, urban managers and researchers. The results of grading regions from urban PROSPERITY INDEX demonstrate that regions number 1, 6 and 10 has the most PROSPERITY in sequence and region number 7 has the least urban PROSPERITY rate. Also among INDEXes studied, efficiency with the score (0. 308) and quality of life with the score (0. 214) has the most impacts in the urban PROSPERITY of the analyzed regions. PROSPERITY is a wide concept which has been proposed in 2012 by United Nations in relation with balanced and harmonic development in environment accompanied by fairness and justice. A kind of social construction which frames human activities. This concept has been introduced by six aspects with their sub criteria: 1. Productivity or economic growth with the basis of production, making wealth, and employment 2. Quality of life 3. Urban governance and legislation 4. Environmental sustainability 5. Equity and social participation 6. Developing infrastructure with its corresponding sub criteria. In this research, with analytical-descriptive approach the assessment and comparison of eleven Shiraz municipality regions according to urban PROSPERITY INDEXes has been performed. In this case, with mentioning documentary and library resources, urban PROSPERITY INDEXes has been analyzed and investigated. Therefore corresponding measures in current conditions of Shiraz would be identified. Afterwards for quantifying and gathering the data needed, from experts’ point of view, profound interviews and questionnaires has been practiced. It is necessary to say that the number of statistic samples initially defined from experts and specialists were 60 samples that finally 30 questionnaires were analyzed. For data analysis and measuring final urban PROSPERITY number in regions, Fuzzy-AHP has been used and for weighing INDEXes in this model a survey has been done from experts, urban managers and researchers. The results of grading regions from urban PROSPERITY INDEX demonstrate that regions number 1, 6 and 10 has the most PROSPERITY in sequence and region number 7 has the least urban PROSPERITY rate. Also among INDEXes studied, efficiency with the score (0. 308) and quality of life with the score (0. 214) has the most impacts in the urban PROSPERITY of the analyzed regions. PROSPERITY is a wide concept which has been proposed in 2012 by United Nations in relation with balanced and harmonic development in environment accompanied by fairness and justice. A kind of social construction which frames human activities. In this research, with analytical-descriptive approach the assessment and comparison of eleven Shiraz municipality regions according to urban PROSPERITY INDEXes has been performed. In this case, with mentioning documentary and library resources, urban PROSPERITY INDEXes has been analyzed and investigated. Therefore corresponding measures in current conditions of Shiraz city condition would be identified. Afterwards for quantifying and gathering needed data, from experts’ point of view, profound interviews and questionnaires has been practiced. It is necessary to say that the number of statistic samples initially defined from experts and specialists were 60 samples that finally 30 questionnaires were analyzed. For data analysis and measuring final urban PROSPERITY number in regions Fuzzy-AHP has been used and for weighing INDEXes in this model a survey has been done from experts, urban managers and researchers. The results of grading regions from urban PROSPERITY INDEX demonstrate that regions number 1, 6 and 10 has the most PROSPERITY in sequence and region number 7 has the least urban PROSPERITY rate.

Today, cities are the key to developing countries, and in order to compete in the international arena, they are trying to upgrade their infrastructure to encourage and achieve innovation and PROSPERITY. Hence, the study of the status of Urban PROSPERITY INDEX (CPI) indicators and efforts to achieve balanced development along with participation is an important issue in sustainable urban development. In this regard, the purpose of this study is to measure and evaluate the metropolitan areas of Tehran in terms of urban growth indices. The research method is descriptive-analytical and its purpose is applied. For data analysis, Shannon, WASPAS, Spread coefficient (C. V), spatial morphometric dependency statistics and Arc GIS software have been used for analyzing the information. The results of the research show that the spatial distribution pattern of Urban PROSPERITY INDEX (CPI) in the 22 areas of Tehran is clustered, and the 22, 1 and 2 regions with scores of scores and spas were 0. 4492, 0. 1938 and 0. 1938 are in the first to third positions in terms of having Urban PROSPERITY INDEX (CPI) indicators among the 22 regions. On the other hand, the area 8 has been at the lowest level with the lowest level of 0. 0439. Statistically, about % 0. 5 of the regions are in a state of affairs, 36. 3% are in semi-possessive condition and 0. 59% in unfavorable condition. Geographically, it can be said that the enjoyment of the regions from the northern to south and east to west of Tehran is decreasing and decreasing.

PROSPERITY is a vast concept that has been proposed by united nations in 2012 in relation with balanced and harmonic development in an environment with fairness and justice. This concept has been introduced by united nations with six varieties: 1-Efficiency 2-Environmental sustainability 3-Justice and social participation 4-Quality of life 5-Infrastructure development 6-Urban governance and legislation. On the other had the concept of accessibility has been proposed by the majority of urban planning Theorist, as a significant criteria in promoting quality of urban life INDEX. In this research with a descriptive – analytic approach the effects of this INDEX in improvement of urban PROSPERITY INDEX has been explored. The statistical society of this research includes all citizens of 11 regions of Shiraz city that the sample’ s volume has been defined 384 people with Cocran formula. For further more certainty, 10 percent has been added to samples’ volume and finally 421 people from citizens filled the questionnaire. For data analysis and measurement of urban PROSPERITY INDEX and accessibility in regions, confirmatory factor analysis method with structural equation modeling softwares such as AMOS, LISREL have been utilized. Exploring urban PROSPERITY models proved that it is possible to consider accessibility INDEXes as a part of urban PROSPERITY INDEX. Accessibility INDEXes have an acceptable effect on urban PROSPERITY INDEXes and caused urban PROSPERITY models’ fitness to improve. Introduction One of the new concepts that has been proposed by united nations for a few years is urban PROSPERITY concept which its goal is to contribute innovative urban management methods in order to lead their cities toward future economic, social, political and environmental urban PROSPERITY. This concept which is a combination of proposed methods in recent years is a result of the movement towards sustainable urban development. (UN – Habitat, 2012) After publication of urban PROSPERITY performance innovation and its six proposed factors, united nations have been always engaged with correcting and completing of its INDEXes and asks governments and planners to act for recognizing local and native factors and promote urban PROSPERITY cycle since not recognizing entire factors related to urban PROSPERITY can decrease its credit and narrative as a measurement for comparing and grading different cities. On the other hand the concept of accessibility has been introduced as one of major factors in urban environment quality. In this case assessment of accessibility INDEX and correcting that can be located as an important INDEX among urban PROSPERITY INDEXes and cause it to be completed. The main goal of this research is evaluating the role of accessibility INDEX in promoting urban PROSPERITY INDEX which with its execution smaller goals such as identifying effective factors and INDEXes of urban PROSPERITY, assessment of urban regions of shiraz city according to urban PROSPERITY and accessibility INDEXes, giving solutions for correcting urban PROSPERITY and accessibility INDEXes in regions of shiraz city will be executed. Methodology Based on the objectives presented the type of this research is a practical research and according to it’ s inherit and method it is a descriptive-analytic research that it is possible to use the results in decision making and planning. In this research for gaining the target goals three methods has been used. 1-Library and documentary study, in order to analyze theoretical texts related to the research subject and effective INDEXes in urban PROSPERITY and accessibility 2-Field observations, for measuring the study regions 3-Quantitative methods and public questionnaires, Results and discussion • INDEXes, accessibility destination, accessibility geographic points and accessibility method, have a positive and meaningful relation with urban PROSPERITY • Among accessibility INDEXes, accessibility destination and accessibility method, have a positive and meaningful relation with efficiency. In other words increase in these features is accompanied with efficiency. • Among accessibility INDEXes, accessibility destination, accessibility geographic points and accessibility method have a positive and meaningful relation with infrastructure development. In other words the increase in these features is accompanied with the increase in infrastructure development. • Among accessibility INDEXes, accessibility destination and accessibility geographic points have a positive and meaningful relation with quality of life • Among accessibility INDEXes, just accessibility geographic points has a positive and meaningful relation with social justice and participation. In other words increase in this feature accompanied with increase in the score of social justice and participation of responders. • Among accessibility INDEXes, accessibility destination and accessibility kind have positive relation and accessibility geographic points and accessibility method have negative meaningful relation with urban governance and legislation. In other words with an increase in destination scores and accessibility kind governance scores amount and accessibility kind, urban governance and legislation scores amount increased. Conclusion Evaluation of the relation between accessibility INDEXes as PROSPERITY amount Evaluating the relations between accessibility and PROSPERITY INDEXes stated that the majority of accessibility INDEXes, has a strong relation with urban PROSPERITY. Accessibility destination has a positive and meaningful relation with INDEXes efficiency, infrastructure development, quality of life and urban governance and legislation. Accessibility geographic points has a positive relation with INDEXes infrastructure development, quality of life, social justice and participation and has a negative meaningful relation with urban governance and legislation. Accessibility type has a positive relation with efficiency and quality of life and has a negative meaningful relation with relation with environmental sustainability and urban governance and legislation. Accessibility method has a positive relation with efficiency and infrastructure development and a negative meaningful relation with environmental sustainability and urban governance and legislation. Examining urban PROSPERITY models showed that it is possible to consider accessibility INDEXes as a part of PROSPERITY structure. Accessibility INDEXes had an acceptable factor load on urban PROSPERITY structure and caused fitness models of the urban PROSPERITY to improve.

The aim of this research is a cooperative evaluation of the urban neighborhoods in district 6 of Tehran based on urban PROSPERITY indicators. Applying urban PROSPERITY in neighborhood planning is a new policy in sustainable urban development. This research based on the method, is descriptive-analytical and in terms of aim is applied. The data collection method was documentary library-based. The WASPAS model was used to rank the neighborhoods and the entropy model was used to weight the indicators. The results of applying the WASPAS decision making model show that there is a difference between the 14 neighborhoods of region 6 than the urban PROSPERITY INDEXes. The innovation of the research is the use of a comparative and new model in determining and evaluating the indicators of urban PROSPERITY in the urban neighborhoods of Tehran's sixth district.The ranking of neighborhoods in terms of urban PROSPERITY indicated that the three neighborhoods of Yousefabad, Keshavarz and Valiasr had the favorable status with final scores of 0.337, 0.334 and 0.259, respectively, six neighborhoods with average status and five neighborhoods (Nizami Ganjavi, Jihad, Behjat Abad, Fatemi and Jamalzadeh) are in undesirable condition and are at the superiority of urban development planning. The results also showed that the urban PROSPERITY environmental dimension had the most neighborhoods (11 neighborhoods) with undesirable conditions