Applied Research in Geographical Sciences

Applied Research in Geographical Sciences

Housing planning model for vulnerable and low-income strata in metropolitan areas, case study: Tehran

Articles in Press
Authors
Ali Ahmadi 1
majid vali shariat Panahi 2
Reza Borna 3
Rahmatollah Farhoodi 4
1 Science and Research Branch, Islamic Azad University, Tehran, Iran
2 college of humanities, yadegar-e-emam(rah) shahr-e- rey branch, Islamic Azad University, Tehran,Iran
3 Branch, Islamic Azad University, Ahvaz, Iran
4 Geography faculty, university of Tehran, Tehran, Iran
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.
Keywords
Housing
Vulnerable and Low-Income strata
Planning Model
Tehran
17) Arlington county. (2015) Affordable Housing Master Plan. Virginia.
18) Arshin, M. Sarvar, R. (2017), Evaluation of government executive policies in providing housing for low-income urban groups Case study: Mashhad metropolis, Quarterly Journal of Urban Mannagement Studies, 9th year, Issue 30, p. 81-95.
19) De Souza, F.A.M. (2017). Land tenure security and housing improvements in Recife, Brazil, Habitat International, No: 23, p.19–33.
20) Diaz-Serrano, L. (2009). Journal of Economic Psychology. 30(5). Pages 745-755.
21) DiPasquale, D. Glaeser, E. (2015). Incentives and Social Capital: Are Homeowners Better Citizens? Journal of Urban Economics, 45(2). pages 354-384.
22) Fotros, M. Ghodsi, S. (2017). Comparing iranian development plans by multidimensional poverty index calculated by alkire-foster method. journal of economic growth and development research. 7(27). P 45 - 64. (in Persian (
23) Hu, F, 2013, Homeownership and subjective wellbeing in urban china: does owning a house make you happier? Social Indicators Research 110, 951–971.
24) Johnson, Michael P. (2007). Planning models for the provision of affordable housing, Environment and Planning B: Planning and Design, Volume 34, Pages 501-523.
25) McRae, Rowan and Nicholson, Dan. (2004). No place like home: homelessness in Australia and the right to adequate housing. Australian Journal of Human Rights. 10(2). P. 27-58.
26) moammeri, E. mirkatuli, J. bazi, K. (2019). Evaluating and Monitoring Housing Supply Policies for Urban Livelihoods Groups in terms of Housing Stability Indicators Case Study: Mehrghane Housing. Geographical Urban Planning Research. 7(4). 723-741.
27) Mohamed M. Marzouk, Osama A. Omar a, Manal S. Abdel Hamid b, Moheeb E. El-Said. (2010). An optimization algorithm for simulation-based planning of low-income housing projects. Journal of Advanced Research, Cairo University. V. 1, P 291-300
Applied Research in Geographical Sciences

Articles in Press, Accepted Manuscript
Available Online from 21 March 2007