Search published articles


Showing 2 results for Income

Ali Ahmadi, Majid Vali Shariat Panahi, Reza Borna, Rahmatollah Farhoodi,
Volume 0, Issue 0 (3-1921)
Abstract

Due to the many complexities, housing planning, especially for vulnerable groups, in a city as large as Tehran, requires a model to simplify the process and speed up calculations, which does not currently exist. With the aim of solving this problem, the present study proposes a model with the following steps: 1) Explaining the objectives 2) Estimating the housing needs of the target community 3) Identifying expandable areas 4) Proposing construction patterns 5) Proposing dispersion patterns 6) Calculations and patterns Financial and 7) suggest operating patterns. The information required to implement the model was collected from two questionnaires and data from the Statistics Center. In this model, three housing models with minimum, optimal and average areas and three types of existing housing construction, 100% infrastructure and freeing up the yard space were used as public urban space. The proposed zoning was adapted to the 22 districts of Tehran Municipality due to compliance with the available data. Sales price and financial calculations were calculated based on the internal rate of return of 20% and contract subsidies, and finally 4 free transfer models, lifelong lease, lease on condition of ownership in the program areas were proposed. The results show that one of the problems in this sector is the lack of appropriate decision-making structure and planning tools that can provide a comprehensive and complete review of the current situation, comprehensive and comprehensive solutions. Therefore, according to the model and using the indicators used, regions 2, 6 and 13 have the lowest and regions 19 and 22 have the highest potential for housing development of low-income and vulnerable groups, and finally, the model has suggested the most housing in regions 22, 4, 19 and 11.
 
Mr Abdolali Puor Keikhaei, Dr Mahmoud Reza Anvari, Dr Gholam Reza Miri,
Volume 21, Issue 61 (6-2021)
Abstract

The physical development of a city will cause growth in other areas. Undoubtedly, the physical development of a country is an important factor in creating the dynamism of the economic system and even the well-being of its people. In this regard, Local governments need the variable, stable and sustainable financial resources for their role in this area. One of these sources is "taxes". The impact of tax on urban physical development plays an important role in its economic and social growth. In the meantime, taxes, especially the tax of estates and tenements, are one of the most reliable ways to provide resources for physical development. Therefore, the purpose of this study is to Investigating the Process of Urban Physical Development with Emphasis on Real Estate Taxes (Case Study: Five regions of Zahedan).The current approach to the present research is qualitative and quantitative and the type of research is applied. In this regard, comprehensive studies were conducted on the research indicators in the study area. The Fuzzy Mamdani model is then used to analyze the information. The results of the model function of the ranking of indicators indicate that public health and environment indices are in a desirable condition, Housing indices and quality of access are at a moderate level and educational, commercial, entertainment and recreational indicators are at an unfavorable level. The results of the status of the studied indices in determining the physical development of each of the 5 study areas in Zahedan in the output of the fuzzy inference system in the MATLAB software show that the 5th region with a score of 0.82 and first area with a score of 0.79 have a desirable level. The 4th area with a score of 0.70 has an average level of physical development. As well as the 2nd area with a score of 0.61 and third area with a score of 0.50 have an undesirable physical development.
nk href="moz-extension://e82f9c05-bf9c-4e25-87b0-684d37ab5915/skin/s3gt_tooltip_mini.css" rel="stylesheet" type="text/css" >

Page 1 from 1     

© 2024 CC BY-NC 4.0 | Applied researches in Geographical Sciences

Designed & Developed by : Yektaweb