نوع مقاله : مقاله مستخرج از پایان نامه
نویسندگان
1 گروه جغرافیای انسانی و برنامه ریزی، دانشکده جغرافیا، دانشگاه تهران، تهران، ایران
2 گروه جغرافیای انسانی و برنامه‌ریزی، دانشکده جغرافیا، دانشگاه تهران، تهران، ایران
3 گروه جغرافیا و برنامه‌ریزی شهری، دانشکده علوم جغرافیایی و برنامه‌ریزی، دانشگاه اصفهان، ایران
چکیده
کلیدواژه‌ها
عنوان مقاله [English]
نویسندگان [English]
Extended Abstract
Introduction
The outbreak of coronavirus and other recent global pandemics has underscored the critical role of housing and its quality in maintaining the health and well-being of communities. During extended periods of residence at home, housing features can have a direct and significant impact on the physical and mental health of occupants. Consequently, designing and developing healthy housing Patterns that can withstand future pandemic threats has become a primary focus in urban planning and public policy.
A review of the literature reveals that while extensive research has been conducted on housing and health, there are significant gaps in identifying the key factors necessary for achieving a healthy housing Pattern during health crises. Most studies have concentrated on the physical and structural aspects of housing, with less comprehensive analysis of the drivers affecting this area. This research aims to identify and analyze the most crucial drivers influencing the realization of a healthy housing Pattern in District 3 of Sanandaj and, through a cohesive conceptual Pattern, offers actionable strategies to enhance community preparedness for health crises. This study can assist policymakers and urban planners in developing more resilient housing Patterns, improving residents' quality of life and health, and providing innovative solutions for future challenges
Methodology
This study employs an applied and descriptive-analytical research methodology to identify the drivers impacting the realization of a healthy housing Pattern in the face of future pandemics. It focuses on evaluating and optimizing housing Patterns to enhance the well-being and comfort of residents in District 3 of Sanandaj, utilizing a snowball sampling method for data collection. This method is deemed suitable due to its networking and referral capabilities, enabling the identification of local experts familiar with the housing and land conditions in the study area.
Data were collected through four rounds of the Delphi process. In the first round, identified drivers were presented to experts in a questionnaire and scored based on a Likert scale. Subsequent rounds involved the elimination of drivers with scores below the average, and after collecting and analyzing the final data, a cross-impact matrix was prepared to evaluate the interrelationships between drivers. Finally, the data were transferred to Excel and MicMac software for the final analysis
Results and discussion
In the preliminary analysis of the cross-impact matrix data, out of 222 evaluated relationships, 34 were found to have no impact, 53 had low impact, 109 had a relatively strong impact, 58 had a very strong impact, and 2 had potential impact. The matrix fill percentage was 98.67%, indicating significant interdependence among variables. This analysis helped in identifying and evaluating the key drivers for achieving a healthy housing Pattern in the context of future pandemics.
In assessing direct and indirect impacts, “Construction Control and Supervision” (COSU) emerged as the most influential direct driver, while “Energy Production Capability” (ENPR) was identified as having the highest direct sensitivity. Additionally, “Review of Housing Construction Requirements and Regulations” (HCRR) demonstrated the greatest indirect influence, and “Energy Production Capability” (ENPR) also showed the highest indirect sensitivity. These results highlight the importance of drivers in achieving a healthy housing Pattern amidst health crises..
Drivers were categorized into various groups in the impact and sensitivity matrix. Influential drivers such as “Construction Control and Supervision”, “Establishment of a Healthy Housing Task Force”, and “Review of Housing Construction Requirements and Regulations” primarily point to the need for managerial collaboration. Bidirectional drivers, like “Flexibility”, exhibit high levels of both influence and sensitivity. Sensitive drivers, including “Interior Design Based on Resident Needs”, particularly in physical and social contexts, aim to enhance quality of life and resilience against diseases. Regulatory drivers, such as “Number of Rooms” and “Space Layout”, are considered effective tools in achieving a healthy housing Pattern.
Conclusion
This study has analyzed the drivers affecting the realization of a healthy housing Pattern in the face of future pandemics. The findings indicate that “Construction Control and Supervision” and “Establishment of a Healthy Housing Task Force” are key drivers in this domain. These drivers, through precise supervision and management, can significantly improve housing quality and standards. Moreover, “Open and Semi-Open Space Planning” and “Interior Design Based on Resident Needs”, with high sensitivity, play a crucial role in enhancing housing quality and preparedness for health crises.
The research recommends that policymakers place greater emphasis on managerial drivers in housing policy design and implementation and strengthen supervisory and managerial actions. It is particularly suggested that specialized task forces be established to oversee construction quality and that attention be given to residents' needs and the design of versatile spaces for various uses. These measures can significantly improve living conditions and increase housing resilience against pandemics. Future research should explore independent drivers and the effects of different policies to achieve a more detailed analysis of this issue.
کلیدواژه‌ها [English]
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