Analyzing the Role of Key Actors in the Realization of a Healthy Housing Pattern: A Case Study of District 3, Sanandaj, Iran

Document Type : Extracted from the dissertation

Authors

1 Master Student of Geography and Urban Planning, Faculty of Geography, Tehran University.

2 Department of Human Geography and Planning, Faculty of Geography, University of Tehran, Tehran, Iran

3 Department of Geography and Urban Planning, Faculty of Geographical Sciences and Planning, University of Isfahan, Iran

10.22059/jhgr.2025.381033.1008727

Abstract

ABSTRACT
In the face of recent public health crises, particularly the COVID-19 pandemic, the importance of designing healthy and resilient housing capable of responding to emergency health situations has become increasingly evident. This study aims to analyze the role and influence of key actors in the process of realizing a healthy housing pattern in District 3 of Sanandaj. The research methodology is descriptive-analytical, employing a mixed-methods approach (both quantitative and qualitative). Data were initially gathered through document analysis and subsequently supplemented by utilizing the Delphi technique and collecting insights from 13 local experts. Following the identification of 18 key actors, categorized into five primary groups, a cross-impact analysis matrix was developed to evaluate the interactions and influences among these actors. This matrix was then analyzed using Ucinet software to precisely assess the structure and dynamics of the actor-network. The findings of the study indicate that three primary groups of actors, including developers, the Islamic City Council of Sanandaj, and consumers, play crucial roles in the realization of the healthy housing pattern, owing to their central and significant influence. In contrast, certain entities, such as the municipality and the Ministry of Roads and Urban Development, were identified as secondary actors, whose roles, despite being complementary and supervisory, are characterized by limited decision-making power. These findings suggest that strengthening interactions among key and secondary actors and drawing on successful international experiences could lead to improved housing planning and design processes, thereby enhancing the structure and effectiveness of the actor-network in addressing future health challenges.
Extended Abstract
Introduction
In recent decades, health crises and pandemics, particularly the COVID-19 pandemic, have profoundly impacted the design and utilization of residential spaces. These circumstances have highlighted the need for residential environments to be designed to respond to health emergencies effectively. Previous research underscores that housing design must account for resilience against health crises, with the roles of stakeholders and developers being critically significant. Specifically, architects, urban planners, and other professionals can play key roles through their technical and creative expertise in designing and implementing resilient housing Patterns. The primary objective of this research is to analyze the roles and impacts of stakeholders and developers in realizing a healthy housing pattern in the context of future epidemics. While numerous studies have addressed various dimensions of housing design, this research focuses on the interactions and influence of different stakeholders on the design and implementation of these patterns. The study's main innovation lies in analyzing the mechanisms among stakeholders in achieving a healthy and resilient housing Pattern, which can contribute to the development of effective strategies and crisis management in housing project design.
 
Methodology
This study, aimed at identifying and analyzing the roles of stakeholders in achieving a healthy housing Pattern in District Three of Sanandaj, is categorized as applied research. The study employs a descriptive-analytical approach and utilizes a mixed-methods methodology (both quantitative and qualitative) for data collection and analysis. Initially, key stakeholders were identified through document analysis, followed by using the Delphi technique and collecting insights from 13 local experts to complete and validate these identifications. Ultimately, 18 stakeholders, divided into five main groups, were recognized as influential in realizing a healthy housing Pattern.
Following stakeholder identification, a cross-impact analysis matrix was developed to assess their interactions and influences. Experts used a numerical scale to evaluate the impact of each stakeholder on others, and the results were analyzed using Ucinet software to examine the structural dynamics of the stakeholder network. This analysis focused on the interactions and relationships among stakeholders. It contributed to a better understanding their roles in achieving a healthy housing pattern in District 3 of Sanandaj.
District 3 of Sanandaj, the city's most recently developed urban area, with an area of approximately 1126 hectares and a population of around 183,808, was selected due to its distinctive characteristics. This area has a relatively integrated urban texture and diverse residential, sports, recreational, cultural, commercial, and service uses. Choosing this District to study healthy housing patterns is justified by its potential to provide more precise results in addressing future health crises.
 
Results and discussion
The stakeholder network analysis in achieving the healthy housing Pattern in District 3 of Sanandaj was conducted using Ucinet software, examining network density, betweenness centrality, degree centrality, and closeness centrality. The findings indicated that the stakeholder network has low density (28%), reflecting weak connections and a slow decision-making and execution process in housing planning. In terms of betweenness centrality, the “National Land and Housing Organization” and “Sanandaj Municipality” were identified as key actors with significant mediation and control abilities within the network. These organizations, with their central roles in planning and investment, substantially impact realizing the healthy housing pattern. Other stakeholders, such as developers and consumers, also play important roles in the network. Degree centrality revealed that "developers" and “Islamic City Council of Sanandaj” have the most direct connections with other stakeholders, making them informal leaders and key influencers within the network. Due to their numerous connections, developers play a crucial role in implementing healthy housing patterns, while the City Council's supervisory and managerial role aids in realizing these patterns. Closeness centrality showed that “Sanandaj Municipality” and “District 3 Municipality”, along with developers and consumers, hold central positions that enable them to exert more significant influence over decision-making and implementation processes for the healthy housing pattern. Through their close and ongoing interactions, these stakeholders significantly impact the improvement of housing conditions. Ultimately, three key groups of stakeholders – “developers”, “Islamic City Council of Sanandaj” and “consumers” – were identified as having central and significant roles in achieving the healthy housing pattern. Other entities, such as the municipality and the Ministry of Roads and Urban Development, were recognized as secondary actors with complementary roles yet possessing limited decision-making power. These findings suggest that enhancing interactions among key and secondary stakeholders, as well as leveraging successful international experiences, could improve housing planning and design processes. Such measures could enhance the structure and efficiency of the stakeholder network and serve as strategies for addressing future challenges in this field.
 
Conclusion
This research examined the interactions among various stakeholders in the housing planning and design process in District 3 of Sanandaj. The findings reveal that three main groups predominantly carry out key decision-making as developers, the Islamic City Council of Sanandaj, and consumers. Due to their significant influence, these groups play essential roles in housing planning and design processes. Conversely, some organizations, such as the municipality and the Ministry of Roads and Urban Development, are identified as secondary actors and often overlooked, with less decision-making power despite their complementary roles. The research findings indicate that enhancing housing planning and design processes requires increased interactions among key and secondary stakeholders, strengthening the roles of overlooked actors, and integrating international best practices. These actions could improve the structure and efficiency of the stakeholder network and optimize decision-making and design processes in housing, providing strategic approaches to address future challenges in this domain.
 
Funding
There is no funding support.
 
Authors’ Contribution
The contribution of the authors to this research is as follows: the first author contributed 50%, the second and third authors each contributed 20%, and the fourth author contributed 10% to the writing and execution of this research.
 
Conflict of Interest
Authors declared no conflict of interest.
 
Acknowledgments
The authors would like to express their sincere gratitude and appreciation to all scientific advisors and contributors who participated in the research process.
 

Keywords

Main Subjects


  1. Afrin, S., Chowdhury, F. J., & Rahman, M. M. (2021). COVID-19 pandemic: rethinking strategies for resilient urban design, perceptions, and planning. Frontiers in Sustainable Cities3, 668263.‌ https://doi.org/10.3389/frsc.2021.668263
  2. Akbari, P., Yazdanfar, S.-A., Hosseini, S.-B., & Norouzian-Maleki, S. (2021). Housing and mental health during outbreak of COVID-19. Journal of Building Engineering, 43, 102919. https://doi.org/10.1016/j.jobe.2021.102919
  3. Asgharpour A, H., Chari - Sadegh, M., Sedigh Ouraee, Gh., Kermani,M., & Feizi, M. (2018). Qualitative analysis of intermediation in the Mashhad housing market: a sociological approach to an economic phenomenon.Urban Sociological Studies, 26(8), 93-126. [In Persian].
  4. Awada, M., Becerik-Gerber, B., White, E., Hoque, S., O’Neill, Z., Pedrielli, G., Wen, J., & Wu, T. (2022). Occupant health in buildings: Impact of the COVID-19 pandemic on the opinions of building professionals and implications on research. Building And Environment, 207(A). https://doi.org/10.1016/j.buildenv.2021.108440
  5. Bicharanloo Hasan, T., Pilehvar, A. A., & Vahdani Chezekhon, H. (2024). Analyzing the Power and Benefits of Activists in the Feasibility of Urban Land Use (Case Study: Samen Region of Mashhad). Urban Sustainable Development, 5(14), 63-83. https://doi.org/10.22034/usd.2024.2012516.1136 [In Persian].
  6. Chari Sadegh, M., Asgharpourmasouleh, A., Sedigh Ouraee, G., Kermani, M., & Feizi, M. (2019). Institutional Actors as Utilized Agents: A Qualitative Study on the Lived Experience of Housing Market’s Agents in Mashhad. Sociology of Social Institutions, 5(12), 179-212. https://doi.org/10.22080/ssi.1970.2137 [In Persian].
  7. Crook, B., & Burton, N. C. (2010). Indoor moulds, sick building syndrome and building related illness. Fungal Biology Reviews24(3-4), 106-113.‌ https://doi.org/10.1016/j.fbr.2010.05.001
  8. Erfanmanesh, M. A., & Arshadi, H. (2015). Co-authorship networks of institutions in the articles of information science and knowledge studies in Iran. Journal of Academic Librarianship and Information Research, 49(1), 79–99. https://doi.org/10.22059/jlib.2015.56966 [In Persian].
  9. Farabi Asl, N., Rafieian, M., & Alizadeh, B. (2023). Analysis of the production of urban spaces from the perspective of political affairs using the actor-network theory approach (Case study: Abbasabad lands, Tehran). Urban Sociology Studies, 13(48), 111–141. https://doi.org/10.30495/uss.2023.709490 [In Persian].
  10. Habibi, A., Sarafrazi, A., & Izadyar, S. (2014). Delphi technique theoretical framework in qualitative research. The International Journal of Engineering and Science, 3(4), 8–13.
  11. Habibi, F., & Manochehri, S. (2023). Analyzing Behavior of Agents in the Housing Sector for Formation of Equilibrium Pattern of Housing Prices in Iran. Economics and Modelling, 14(1), 187-219. [In Persian].
  12. Heydari, M, T., Khanmoradi, S., Rahmani, M. (2022). Evaluation of Urban Practitioners Performance in Development of Gentrification the Urbanized Texture Verification by Multi-Subject-Multiplier Model (Case Study: Zanjan Urban Texture Verification). Studies of Human Settlements Planning,1(17),63-76. https://dorl.net/dor/20.1001.1.25385968.1401.17.1.6.6 [In Persian].
  13. Heydari, M. T., Nasiri, S., haghi, Y., & Moharami, S. (2022). A Functional Analysis of Urban Activists in Organizing Informal Settlements with a Multi-Issue-Multi-Actor Model (Case: Islamabad Neighborhood of Zanjan City). Geography and Urban Space Development, 9(3), 39-58. https://doi.org/10.22067/jgusd.2021.68673.1014 [In Persian].
  14. Hu, M., Roberts, J. D., Azevedo, G. P., & Milner, D. (2021). The role of built and social environmental factors in Covid-19 transmission: A look at America’s capital city. Sustainable Cities and Society65, 102580.‌
  15. Khodapanah, K. (2020). Analysis of the tourism network in the tourism centers of Ardabil region. Geographical Planning of Space, 10(38), 259–270. https://doi.org/10.30488/gps.2020.214782.3162 [In Persian].
  16. Kurdistan Provincial Department of Roads and Urban Development. (2008). Sanandaj Master urban plan. Tadbir Shahr Consulting Engineers. [In Persian].
  17. Macnee, C. L., & McCabe, S. (2008). Understanding nursing research: Using research in evidence-based practice. Lippincott Williams & Wilkins.
  18. Marco, E., & Burgess, S. (2015). Healthy housing. In The Routledge Handbook of Planning for Health and Well-Being (pp. 403–416). Routledge.
  19. Megahed, N. A., & Ghoneim, E. M. (2020). Antivirus-built environment: Lessons learned from Covid-19 pandemic. Sustainable Cities and Society, 61. https://doi.org/10.1016/j.scs.2020.102350
  20. Parizadi, T. (2012). Examination of intra-city development with an emphasis on housing (Case study: Sanandaj city). Doctoral dissertation, University of Isfahan. [In Persian].
  21. Parizadi, T., Shamai, A., & Tagipour, F. (2022). Designing the Model of Factors Affecting the Income of Districts of Tehran Municipality Using Panel Data Models (FGLS & PCSE). Urban Economics, 7(1), 73-92. https://doi.org/10.22108/ue.2023.121727.1137 [In Persian].
  22. Peltomaa, J., Mela, H., & Hildén, M. (2020). Housing managers as middle actors implementing sustainable housing policies in Finland. Building Research & Information48(1), 53-66.‌ https://doi.org/10.1080/09613218.2019.1655629
  23. Peters, T., & Halleran, A. (2021). How our homes impact our health: using a COVID-19 informed approach to examine urban apartment housing. Archnet-Ijar International Journal Of Architectural Research, 15(1, SI), 10–27. https://doi.org/10.1108/ARCH-08-2020-0159
  24. Putra, I. D. G. A. D. (2021b). “Stay at home” for addressing COVID-19 protocol: learning from the traditional Balinese house. Archnet-IJAR: International Journal of Architectural Research, 15(1), 64–78. https://doi.org/10.1108/ARCH-09-2020-0187/FULL/HTML
  25. Rahimdoost, E. (2024). Strategies to support the housing market based on the role of actors. Economic Security Scientific Monthly, 11(11), 4–18. [In Persian].
  26. Ranson, R. (2002). Healthy housing: a practical guide. Taylor & Francis.
  27. Razpoor, M. (2019). Explaining the system and role of actor networks in the spatial organization transformations of border areas (Case study: Baneh border city). Doctoral dissertation, Iran University of Science and Technology. [In Persian].
  28. Riahi, V., Mahmoudian, F., & Azizpour, F. (2023). Analysis of spatial interaction patterns of nomads with an emphasis on population flow (Case study: Babadi Bab ecological region, Bakhtiari tribe). Spatial Planning, 12(2), 1–26. https://doi.org/10.22108/sppl.2022.131381.1627 [In Persian].
  29. Riyanti, N., Jariah, A., Ariyadi, A., & Selawaty, D. (2023). Actor Relationship Model in the Development of New Housing Facilities in Palangka Raya City: Problems and Urgency of Providing Public and Social Facilities. Jurnal Administrasi Publik (Public Administration Journal)13(2), 147-157.‌ https://doi.org/10.31289/jap.v13i2.10300
  30. Rogers, D., & Power, E. (2020). Housing policy and the COVID-19 pandemic: the importance of housing research during this health emergency. International Journal of Housing Policy, 20(2), 177–183. https://doi.org/10.1080/19491247.2020.1756599
  31. Romero, R. H., & Pak, B. (2021). Understanding design justice in a bottom-up housing through digital actor-network mapping. In Proceedings of the 39th International Hybrid Conference on Education and Research in Computer Aided Architectural Design in Europe (Vol. 1, pp. 131-140). Faculty of Technical Sciences, University of Novi Sad, Serbia.‌
  32. Sharifzadeh, R., & Moghaddam Heidari, G. (2015). From the social construction of knowledge to the collective construction of reality: Latour versus Bloor. Humanities Methodology, 21(83), 93–120. [In Persian].
  33. Sururi, A., Rusli, B., Widianingsih, I., & Ismanto, S. U. (2020, December). Housing Policy Dynamics: Actor and Culture Collaboration Perspective. In 6th International Conference on Social and Political Sciences (ICOSAPS 2020) (pp. 338-345). Atlantis Press.‌ https://doi.org/10.2991/assehr.k.201219.051
  34. Tavanayi Moravi, L., Behzadfar, M., & Mofidi Shemirani, S. M. (2023). Investigating the role of actors in realizing the concept of harmony in the smart city, Case study: Tehran. Geographical Planning of Space, 13(1), 1–19. https://doi.org/10.30488/gps.2023.363475.3584 [In Persian].
  35. Tohidloo, S. (2022). Analysis of the Role of Rural Development Actors in Organizing Rural Housing with a Multi-Subject-Multi-Player Model (Case Study: of Villages in Zanjan County). Physical Social Planning, 8(4), 51-62. https://doi.org/10.30473/psp.2022.60128.2502 [In Persian].
  36. Tokazhanov, G., Tleuken, A., Guney, M., Turkyilmaz, A., & Karaca, F. (2020a). How is COVID-19 Experience Transforming Sustainability Requirements of Residential Buildings? A Review. Sustainability, 12(20), 8732. https://doi.org/10.3390/su12208732
  37. Yim, K. (2009). Actor Network Theory. CS260—Human Centered Computing. https://bid.berkeley.edu/cs260-spring09/images/c/cd/Actor_Network_Theory.pdf
  38. Zarrabi, M., Yazdanfar, S.-A., & Hosseini, S.-B. (2021). COVID-19 and healthy home preferences: The case of apartment residents in Tehran. Journal of Building Engineering, 35, 102021. https://doi.org/10.1016/j.jobe.2020.102021