Showing 7 results for Poverty
Ph.d Khalaf Anafjeh, Email: Moosa_ka@pnu.ac.ir, Ph.d Masoud Safaipour, Ph.d Abdulnabi Sharifi,
Volume 0, Issue 0 (3-1921)
Abstract
This paper tries to equip the 5 strategic drivers of the urban poverty system in the target areas of the research wich have the ability to management,manipulate and trace their effects through the regeneration process with poverty reduction policies in order to improve the state of the system in the mentioned arias.considering the basic necessity of economy–based organization of space, the aim of this paper is to regeneration and reform of structures of urban poverty in the target neighborhoods with a future studies approach.the type of research is applicable and its investigation method is descriptive-analytical based on newest future studies approach,normative in nature.after preparing the balance analysis of the possible states (uncertainty scenarios),extracting the qualitative judgments of 30 experts about the mutual influence of network relations through Delphi survey and algoritmic analysis of data using cib method in the scenario wizard software become possible.consideringthe size of the matrix and its demensions of (15*15) scenario wizard software analyzed the number of 3657 combined scenarios based on the data entered in the questionnaire and the number of 5 strong or probable scenarios,14 scenarios with high compatibility(belivable scenarios) and they reported 28 weack scenarios (possible scenarios) that finally,after verification and validation by experts,four scenarios were descriptively named with the title of m-a,m-sh,h-ha,z.s-j.in the end by using the thematic macro -rends that are introduced as technical tools of future –based economic intervantions in the regeneration process.for each driver,poverty reduction policies were formulated and proposed in the form of thematic measures based on desirable scenarios to reform urban poverty structures.
Majid Yasoori, Seyedeh Fatemeh Emami,
Volume 18, Issue 48 (3-2018)
Abstract
The current study was conducted to investigate and explain poverty in Saravan village in Rasht city. In this research, survey method and structural equation modeling were used to present a model of based on results of the census in 2011, the number of villages in this district was 7 villages and the number of households was 4283 households. Morgan table was used to determine the sample size of the family heads living in rural areas of Saravan. Finally, 351 questionnaires were selected for family heads, which it was increased to 370 to obtain better results of the questionnaires. The results of a single sample T test indicate that the social and political indices are at good status. However, the T-value of the economic dimension is at the poverty status. The main reason for the poor status of this index is adequate consumption of fruits and vegetables in the household food plan, the inadequacy of housing space for children and the vulnerability of residential against earthquakes and accidents, and the sale of products indirectly through middlemen. It has caused respondents to consider lower scores for this index. According to the findings, the factor load of all items is confirmed in the social, economic and political dimensions.
Dr Hadi Soleimani Moghadam, Dr Rahman Zandi, Mr Ebrahim Akbari,
Volume 21, Issue 60 (3-2021)
Abstract
Spatial Zoning and Analysis of Urban Poverty via Spatial Analysis (Case Study: Mashhad City)
Abstract
Examining the degree of poverty in every community is the first step taken towards planning for fighting against poverty and deprivation. With understanding the poverty change process over time, planners can make the necessary decisions. The present study aims to investigate the spatial zoning and analysis of urban poverty in Mashhad City. To this end, necessary data were collected and employed from various sources. The final map was obtained from the integration and overlapping of effective criteria in urban poverty zoning using the experts' viewpoints and reviewing the research background with emphasis on GIS spatial analysis. According to the final map, 33.05% of Mashhad’s area enjoys very good conditions in terms of the study criteria of zoning urban poverty. This area covers Felestin, Sajjad, Goharshad, Razi, Baharan, Valiasr, Fareghotahsilan, Hafez, Isargaran etc. areas. The second rank (covering 18.75% of the city’s area), indicating the appropriate situation, includes Elahiyyeh, Janbaz, Tarbiat, Honarvar, etc. areas. The third rank (covering 19.28% of the city’s area) is in moderate conditions, including different areas of the city including Railway, Northern Tabarsi, Vahdat, Amir Abad, Keshavarz and Mo’oud areas. The fourth rank (covering 8.46% of the city’s area) is in the inappropriate situation, covering areas such as Sis Abad, Eivan and some parts of District 7. The fifth rank (covering 20.43% of the city’s area), is in very poor conditions, consisting of Jahed Shahr, Abu Zar, Rabat, Enghelab, Baharestan, Panjtan Al-e-Aba, Shahid Ghorbani and Mehdi Abad areas.
Mehrdad Mohamadpour Shatery, Hoshang Taghizadeh, Sahar Khoshfetrat,
Volume 23, Issue 69 (6-2023)
Abstract
Poverty is a social, economic, cultural and political reality that has long been one of the greatest human problems. The diversity of problems, needs and problems of the deprived and low-income groups of the society and the multiplicity of poverty indicators on the one hand, and on the other hand the lack of financial resources and credits to solve the poverty indicators, organizations in charge of poor affairs, including Imam Khomeini Relief Committee Has faced serious challenges in the optimal allocation of resources. Therefore, the aim of the present study is to classify the clients of Tabriz Relief Committee from the perspective of livelihood poverty indicators, ranking these clusters in terms of cost and finally allocating productive and optimal resources for each cluster. In this way, with the least resources, a wide range of the needy benefit from these resources. To do this, with cluster analysis of data extracted from the system, 700 clients of Tabriz Relief Committee have been clustered from the perspective of livelihood poverty indicators and K-mean method. The results of this study were a cluster structure consisting of 10 clusters, which according to the characteristics of the clusters, titles for the clusters were considered. Finally, in order to rank the clusters, a multi-characteristic SAW decision-making method has been used. The research findings show the difference between the effectiveness of allocation in clustering method compared to other traditional methods.
Zahra Alizadeh -, Dr Mohammad Taghi Masoumi, Dr Hossein Nazmfar, Dr Akbar Abravesh,
Volume 24, Issue 73 (6-2024)
Abstract
Today, with the expansion of urbanization and the increase in the population of cities, urban poverty is one of the important problems that it seems necessary to fight. In the 21st century, one of the indicators of urban progress is the issue of low urban poverty (Lemanski and Marx, 2015). In order to analyze and evaluate the indicators of urban poverty in Rasht city in different blocks and to cluster social poverty in this city (very poor, poor, average, wealthy, very wealthy), to analyze social poverty and extract spatial hot spots from Arc software. Gis was used. And the extraction of different areas of the city was calculated from the R software and by the multi-indicator Prometheus decision-making method, where the weight of the indicators was obtained by the ANP method from the raw data of the statistical blocks of Rasht city in the census of 2015. The findings of the research showed that comparatively, the central parts of the city are covered by medium blocks, and in the outer and peripheral parts of the city center, two hot spot areas are observed, which contain very prosperous blocks. Cold spots are also clearly visible on the outer edge of the city and they cover very poor and poor blocks, and except for the hot and cold spots, the city is mostly in the form of mild spots and most of the blocks are in poor condition. They are placed in average social poverty. Also, based on the findings of the research, most of the deprived areas in terms of social poverty in Rasht city are located in the north-west and north-east parts of the city.
Dr Tajeddin Karami, Dr Somayeh Teymouri,
Volume 24, Issue 73 (6-2024)
Abstract
One of the theories that studied poverty and inequality after World War II and urban reconstruction in America in the duality of the suburbs and the central city is the theory of Spatial Mismatch. Despite the role of the background caused by racial-ethnic inequality and the contrast between the suburbs and the central city in the formation of the aforementioned theory, the main indicators of Spatial Mismatch indicate the lack of appropriateness between obtaining a job with sufficient benefits to access affordable and quality housing. This means that the backgrounds, structures and processes of inequality are different from one society to another and the lack of proportionality between the benefits of work and access to housing represents the spaces of poverty. The aim of the current research is to reveal the Spatial Mismatch between the two mentioned indicators in the metropolitan areas of Tehran. The current research is applied research in terms of its purpose and descriptive-analytical in terms of its method. The main data required include major occupational groups and housing status in official population and housing censuses, which have been analyzed using spatial functions. The analysis of the research findings shows that there is a direct relationship between occupational stratification and the quality of residence in Tehran's municipal areas. In such a way that the concentration centers of the lower classes and workers who are deprived of jobs with suitable benefits have been formed in residential areas with poor quality and worn-out textures. Based on this, in the southern regions of Tehran, there is a greater disproportion between getting a suitable job and access to quality housing. While in the northern areas of Tehran, there is much more suitable work and access to quality housing. The final result shows that the two main indicators investigated well reveal and represent the «Spatial Traps of Poverty» which are the main focus of Socio-Spatial Issues in Inner City Areas.
Keywords: Spatial Traps of Poverty, Spatial Mismatch, Work and Residence Spatial Mismatch, Occupational Stratification and Tehran.
Mehrdad Mohamadpour Shatery, Hoshang Taghizadeh, Sahar Khoshfetrat,
Volume 24, Issue 74 (9-2024)
Abstract
The phenomenon of poverty is a social, economic, cultural, and political reality that has long been one of the greatest human problems. The purpose of this study was to identify the factors affecting poverty and examine the internal relations and its leveling with an interpretive structural approach in the Imam Khomeini Relief Committee of Tabriz. In this regard, based on the factors extracted from literature, a questionnaire has been developed. In this phase, 41 indicators have been selected as the most important indicators affecting poverty at Imam Khomeini Relief Committee of Tabriz city. After obtaining appropriate validity and reliability for the questionnaire, it has been distributed among the statistical sample. After distributing the questionnaire, factor analysis was used to analyze the information and reduce the variables to dimensions. The results of factor analysis showed that about 68.3% of the total variance of variables was explained by 14 factors and about 31.7% of the variance was explained by other variables that were not measured. As a result, 14 factors have been identified as the most important factors affecting poverty. These 14 factors are important in order of importance: 1- Economic; 2- Social; 3- Individual; 4- Legal; 5- Family; 6; Environment; 7; Political; 8; Management; 9; Cultural; 10- Overseas; 11. Security; 12. Scientific; 13. Organizational; 14. Geographical. Finally, the interrelationships between factors and the leveling of poverty-related factors have been examined by presenting an extended structural-comparative model (ISM).
