Sustainable city

Sustainable city

Identifying Driving Factors in the Future Research of Iran's Housing Planning System the Case Study of Tehran

Document Type : Article extracted From phd dissertation

Authors
1 Department of Urban Planning, Quds City Branch, Islamic Azad University, Tehran, Iran.
2 Department of Urban Planning, Faculty of Arts, Tarbiat Modares University, Tehran, Iran
Abstract
A B S T R A C T
The current research was conducted with the aim of identifying the driving factors of the housing planning system in Tehran with a future research approach. The following article is practical in terms of purpose, and according to the investigated components, the dominant approach is a descriptive and analytical method. In this research, in order to consciously select the participants, the purposeful sampling method has been used. The basis of using the purposeful sampling method is the selection of a group of experts who have an in-depth investigation or a general understanding of the nature of the research. Based on the explanations mentioned earlier, the statistical population of the upcoming research is 74 experts in the field of housing, including university professors who are experts in the field of study. The number volume considered for the Delphi technique is 10 people, and for the analysis of mutual effects in the Mic Mac software, the sample size considered is 64 people, according to the familiarity of the experts with this software. The results of this research showed that the drivers of housing rules and regulations are inflation rate, currency and gold prices, liquidity volume, macro economy, urban management stability, banking facilities, land and housing prices, international sanctions and supply situation. and demand play a role as key drivers in the housing planning system in Tehran
Extended Abstract
Introduction
The issue of housing and foresight in this field in the city of Tehran is more important than in other cities due to factors such as the concentration of facilities and services, having diverse political and administrative roles, having various job opportunities, etc. Therefore, this research identifies and analyzes the factors affecting the housing planning system with a future research approach. Based on this, the interrelationships of economic opportunities and political challenges, and urban and economic planning of rulers, also the interaction of political, social, economic, and environmental indicators have greatly affected housing policy and planning, and housing planners should pay serious attention to the index and their relationships in order to solve the housing problem. Therefore, the research tries to answer this question:
-What are the driving factors in Iran's housing planning system with a future research approach?
 
Methodology
The following article is practical in terms of purpose, and according to the investigated components, the dominant approach is a descriptive and analytical method. The Delphi technique has been exerted to identify variables and indicators. In this regard, in the first stage, scientific research and review articles published on the research topic were used to collect the variables. Then, the semi-structured questionnaire was distributed among experts in the field of research. In the current research, to select the participants, a purposeful sampling method was used. The statistical population of the upcoming research consists of 74 experts in the field of housing, including university professors specializing in the studied field. The number volume considered for the Delphi technique was 10 people, and for the Mic Mac technique, the sample size was 64 people, according to the experts' familiarity with this software. In this research, to achieve the research goals, Mic Mac software has been used.
 
 
Results and discussion
Thirty factors have been analyzed with Mic Mac software to extract the main influencing factors. The dimensions of the matrix are 30x30. The degree of filling of the matrix is 82.35%, which shows that the selected factors have a relatively large and scattered effect on each other, and the system has enjoyed stability. Out of the total of 11560 relationships that can be evaluated in this matrix, 2040 relationships are zero, meaning The factors did not influence or were not influenced by each other. In 4120 relationships, the number was one, which means that they had little influence on each other; in 2760 relationships, the number was 2, which means that they had a relatively strong influencing relationship; in 2640 relationships, the number was 3. This means that the relationships of the key factors have been very high, and they have had a lot of influence and effectiveness. The research findings showed that ten drivers in the impact column had the largest contribution to direct impact, and the same ten variables were in the first ten indirect impacts. It should be noted that the green lines indicate the promotion of the desired factor. Indirect effects and red lines also mean the downgrading of the desired factor in indirect effects. For example, the VAR6 factor was ranked third in indirect effects, but this factor has been downgraded to the sixth position in indirect effects. However, the first ten drivers in direct effects are repeated on the indirect side as well. Therefore, the key drivers of this study are housing rules and regulations, inflation rate, currency and gold prices, liquidity volume, macro economy, urban management stability, banking facilities, land and housing prices, international sanctions, and supply and demand situation.
 
Conclusion
This research investigated the key factors affecting the future of the housing supply planning system in Tehran. For this purpose, mutual effects analysis methods were used in the environment of Mic Mac software. At first, 30 driving factors were identified using the Delphi technique, and then by implementing the identified factors in the Mic Mac software environment, four categories of two-faceted, influential, independent, and influential factors were identified, and finally, by evaluating the 30 identified factors. As a result of the analysis of the master plan, the effectiveness and effectiveness of ten key factors that had the most significant impact on the future state of housing planning in Tehran were known. The first factor was the construction rules and regulations; this factor emphasizes the strength and resilience of urban housing. This issue is of particular importance and necessity since natural crises, especially earthquakes threaten the city of Tehran. In the second place was banking facilities. Concerning the mentioned factor, it can be said that by providing low-interest bank facilities, many families can hope for housing. This facility allows many vacant residential units in different parts of Tehran to be bought by citizens, and the problem of uninhabited units is solved. The basic issue in this field is to review the process of providing facilities, which the operating banks should avoid the usual strictures. Based on the results, the price of land and housing played a key role in providing housing. In fact, the rising trend of land and housing prices can be prevented by seriously monitoring the market. The high demand for housing in the capital has led to a corresponding increase in the price of land and property. In the conclusion of the present research, it can be said that success in achieving the goals of housing planning is dependent on the effective interaction of the identified critical factors; using the identified factors and taking into account their priority and effectiveness, it can be concluded achieving the goals of housing planning provided sufficient attention from planners, policymakers and decision-makers to the influential factors for explaining housing planning, prioritizing and considering the relationships with each other, the necessary platforms for the realization and development of the desired development and a housing planning model will be created.
 
Funding
There is no funding support.
 
 
Authors’ Contribution
All of the authors approved thecontent of the manuscript and agreed on all aspects of the work.
 
Conflict of Interest
Authors declared no conflict of interest.
 
Acknowledgments
We are grateful to all the scientific consultants of this paper.
Keywords

  1. Ahmadi, K., Mahboubi, G., & Ezatpanah, B. (2022). The effect of physical elements of indigenous architecture on the sustainability of urban housing Case study: Shahr Sanandaj. Geography, 20(73), 19-36. [In Persian].
  2. Anierobi, C. M., Nwalusi, D. M., Efobi, K. O., Nwosu, K. I., Nwokolo, N. C., & Ibem, E. O. (2023). Urban Housing Inequality and the Nature of Relationship Between Formal and Informal Settlements in Enugu Metropolis, Nigeria. SAGE Open, 13(3), 12-37. https://doi.org/10.1177/21582440231192390
  3. Chander, M., Jain, S. K., & Shankar, R. (2013). Modeling of information security management parameters in Indian organizations using ISM and MICMAC approach. Journal of Modelling in Management.13 (3), 11-24. https://doi.org/10.1108/JM2-10-2011-0054
  4. Fang, X., & Lv, Y. (2023). Housing prices and green innovation: evidence from Chinese enterprises. Management Decision, 2(3), 22-40. https://doi.org/10.1108/MD-03-2023-0368
  5. Fanni, Z., Hanachi, P., & Samani Majd, A. (2021). Future Studies of Effective Factors on Sustainable Housing In Tehran Metropolitan. Sustainable Urban Development, 2(4), 55-68. [In Persian].
  6. Ghorbani, R., rostaei, S., & karami, S. (2021). Future Study of Factors Affecting the Quantitative and Qualitative Indicators of Housing in Tabriz Metropolis Using Scenario Planning Approach and Cross-Impact Matrix. Geography and Planning, 25(76), 233-248. [In Persian].
  7. Habitat, U. N. (2018). Tracking Progress Towards Inclusive, Safe, Resilient and Sustainable Cities and Human Settlements. SDG 11 Synthesis Report-High Level Political Forum 2018. https://discovery.ucl.ac.uk/id/eprint/10087018/1/SDG%2011%20Synthesis%20Report_web2.pdf
  8. Hidari.M, Ahmadpour A, Tilkui Beghe Jan F, haghi Y. (2022) Monitoring the effective challenges on the performance of housing cooperatives in the production of urban housing with a futures research approach. MJSP, 26 (1):141-172. [In Persian].
  9. Jafari, F., sherizadeh, A. (2019). Identifying the Key Factors Effective on the House price of Tabriz With Cross Impact Analysis method. Geography and Planning, 23(67), 67-89. [In Persian].
  10. Kazazi, A., Tabatabaeian, S. H., Taghavifard, M. T., & Nazemi, A. (2011). Identification of Vulnerable Strategies Based on Assumption Base Planning. Journal of Improvement Management, 5(3), 38-62. [In Persian].
  11. Kuchler, T., Piazzesi, M., & Stroebel, J. (2023). Housing market expectations. In Handbook of Economic Expectations Academic Press, 23(2), 163-191. https://doi.org/10.1016/B978-0-12-822927-9.00013-6
  12. Kuddus, M. A., Tynan, E., & McBryde, E. (2020). Urbanization: a problem for the rich and the poor?. Public health reviews, 41(2), 1-4. https://doi.org/10.1186/s40985-019-0116-0
  13. Kumar, P., Kumar, P., Garg, R. K., & Garg, R. (2021). Urban housing: a study on housing environment, residents’ satisfaction and happiness. Open House International, 46(4), 528-547. https://doi.org/10.1108/OHI-12-2020-0179
  14. Majumdar, R., Kapur, P. K., & Khatri, S. K. (2016). Assessment of environmental factors affecting software development process using ISM & MICMAC analysis. International Journal of System Assurance Engineering and Management, 7(4), 435-441. https://doi.org/10.1007/s13198-016-0477-4
  15. McClure, K. (2019). What should be the future of the Low-Income Housing Tax Credit program?. Housing Policy Debate, 29 (1), 65-81. https://doi.org/10.1080/10511482.2018.1469526
  16. Meshkini, A., & Pahlavan Darini, M. (2022). Assessment of the realization of the general policy system (perspective) in the housing sector Example: Maintaining respect and cultural values of urban housing. Human Geography Research, 54(2), 415-435. [In Persian].
  17. Muhammad, Z., & Abubakar, I. R. (2019). Transformative urbanization through public-private partnership in Abuja, Nigeria. In Optimizing regional development through transformative urbanization. IGI Global, 2(3),141-162.  https://doi.org/10.1080/1943815X.2022.2033791
  18. Nikezic, A., Ristic Trajkovic, J., & Milovanovic, A. (2021). Future Housing Identities: Designing in Line with the Contemporary Sustainable Urban Lifestyle. Buildings 2(3), 11, 1-18. https://doi.org/10.3390/buildings11010018
  19. Pirbabaei, M. T., Beyti, H., & sedaghati, A. (2019). The concept of value in housing planning: A Comparative Study of Hedonic Housing Model with Value regards of Allameh Tabatabai. Journal of Social Theories of Muslim Thinkers, 9(2), 303-329. [In Persian].
  20. Rajaei, S. A., Hataminezhad, H., Pour Ahmad, A., & Allah Gholipour, S. (2018). Urban Sustainable Housing Status in area1 of Tehran 9th District. Sustainable city, 1(1), 91-105. [In Persian].
  21. Rosser, J. F., Long, G., Zakhary, S., Boyd, D. S., Mao, Y., & Robinson, D. (2019). Modelling urban housing stocks for building energy simulation using CityGML EnergyADE. ISPRS International Journal of Geo-Information, 8(4), 125-140. https://doi.org/10.3390/ijgi8040163
  22. Safaeepour, M., & Fadaei Jazi, F. (2023). Future Research of the Housing Supply System in Iran's Metropolises: A Case Study of Ahvaz Metropolis. Geography and Environmental Planning, 34(1), 117-140. [In Persian].
  23. Salavati, S., Alavi, S., Karimi, B., & Ramezanipour, K. (2023). The Foresight of Housing Planning Suitable for Vulnerable Urban Strata (Case Study: Nayser, Sanandaj). Urban Economics and Planning, 4(1), 180-196. [In Persian].
  24. Seidbeigi, S., Mosapour Miyandehi, P., Mollania, S., & Malmir, M. (2022). Identifying the key factors of urban development with a, futures studies approach; Case study: Sari city. Journal of Studies of Human Settlements Planning, 17(1), 89-106. [In Persian].
  25. Selaverzizadeh, M., Sheykhi, H., & Hatami, S. (2021). Identification and Analysis of Key Factors Affecting the Development of Social Housing with Emphasis on Foresight (Case Study: Ilam City). Geography and Territorial Spatial Arrangement, 11(39), 199-224. [In Persian].
  26. Shahivandi, A., Ghasemi, M., & Rastghalam, N. (2020). Future Studies of Housing Resilience in 8th Zone of Isfahan Using a Combination of Scenario Analysis and cross-effects analysis. Urban Structure and Function Studies, 7(22), 131-153. [In Persian].
  27. Tavassolian, R., Rostaei, S., Heydari chiyaneh, R., & Asgari zamani, A. (2019). Analysis of the Residential Land Supply Policies, production of Rent Space and Urban Construction Coherence (Case Study: Zanjan City). Sustainable city, 2(3), 79-95. [In Persian].
  28. Wainer, L. S., Ndengeyingoma, B., & Murray, S. (2016). Incremental housing, and other design principles for low-cost housing. International Growth Center, 2(5), 1-36. https://doi.org/10.1016/j.habitatint.2009.11.008
  29. Wang, Y., You, Y., Yue, X., Wu, Y., Zhou, Y., & Zhang, H. O. (2023). Spatial Variation Characteristics of Housing Conditions in China. Buildings, 13(8), 20-28. https://doi.org/10.3390/buildings13082028
  30. Winston, N. (2022). Sustainable community development: Integrating social and environmental sustainability for sustainable housing and communities. Sustainable Development, 30(1), 191-202. https://doi.org/10.1002/sd.2238