Document Type : Original Article
Subjects
Over the past century, urban centers have faced profound social and economic transformations, emerging as the primary nodes of economic, social, and cultural activities. One of the most critical challenges resulting from these changes is the expansion of dilapidated urban areas. Characterized by structural and functional inefficiencies, these areas fail to meet contemporary urban needs and, in many cases, exacerbate spatial, social, and economic disparities. Once structured within a coherent urban framework, these neighborhoods now suffer from infrastructure deterioration, declining quality of life, growing urban inequality, and increased social exclusion. These dynamics underscore the urgent necessity of revisiting and reforming urban development policies.
Urban regeneration has emerged as a comprehensive response to these challenges, addressing not only the physical revitalization of cities but also their social, economic, and environmental dimensions. Among various approaches, housing-led regeneration has attracted particular attention for its capacity to holistically enhance deteriorated neighborhoods. This approach emphasizes housing not merely as a physical asset but as a pivotal element in improving living standards and reinforcing social vitality. Inadequate housing conditions often precipitate population displacement, declining property values, and the concentration of vulnerable social groups—factors that collectively generate a cycle of urban decline. Therefore, housing-led regeneration serves as a cornerstone for enhancing livability, stimulating inclusive development, and advancing sustainable urban resilience.
This study seeks to identify and analyze the variables influencing housing-led regeneration, specifically in the context of Damghan, Iran. By addressing current research gaps, it aims to support policymakers and urban planners in formulating and implementing effective strategies. The research emphasizes the potential of housing-focused interventions to improve citizen well-being, attract investment, and foster both environmental sustainability and social cohesion.
Methodologically, this study adopts a descriptive-analytical design, incorporating both qualitative and quantitative data to examine the relationships and interactions among critical variables. The data collection process involved consultations with 15 experts specializing in urban development, housing policy, and related fields, whose insights provide a nuanced understanding of regeneration dynamics. For data analysis, the Cross-Impact Matrix method was employed, utilizing MicMac software to explore and simulate the interactions among variables. This method is particularly effective in examining complex systems and identifying causal linkages between interdependent factors
The case study focuses on a deteriorated district in the city of Damghan, selected for its acute infrastructure deficits, high population density, and inadequate service provision. The area faces compounded challenges, including economic instability, weak public service networks, and eroded social capital. Socioeconomic surveys reveal that many residents struggle with housing affordability and quality, further highlighting the necessity of targeted regeneration policies.
This study analyzed the interrelationships among variables influencing housing-led regeneration in Damghan using cross-impact matrix methodology. The results revealed a highly interactive system, with 96.9% matrix fill rate, and 64.9% of relationships displaying moderate to very strong influence. No indirect (potential) influences were identified, suggesting a dominantly direct-impact structure. The influence-dependence map categorized variables into strategic groups. “Smart urban management and reduced bureaucracy” and “sustainable energy” emerged as key drivers. Bipolar variables—exhibiting both high influence and dependence—were further classified into risk variables (“land and housing prices,” “equitable resource distribution,” “human-centered transport”) and target variables (“urban branding,” “participatory planning,” “economic regeneration,” and others). Dependent variables, such as “community empowerment” and “municipal financial capacity,” were mainly reactive. Independent variables played structural roles and included legal and institutional factors. Regulatory variables, such as “biophilic planning” and “transport infrastructure,” held transformative potential depending on policy shifts. The spatial distribution of variables indicated that Damghan's regeneration system is unstable, underscoring the need for dynamic and adaptive policy interventions. “Land and housing prices” ranked as the most influential factor, reflecting both a major challenge and an opportunity for incentivizing investment and sustainable urban transformation.
This study concludes that housing-led regeneration significantly improves not only physical housing conditions but also contributes to social sustainability and urban livability. However, the success of such initiatives depends on the implementation of supportive policy frameworks, sustained financial investment, and inclusive governance mechanisms. To maximize impact, housing regeneration programs should adopt an interdisciplinary and systemic approach that simultaneously addresses physical, social, and economic challenges. Drawing from successful international experiences, localization strategies that reflect the unique conditions of Iranian cities—such as Damghan—should be prioritized. Establishing clear legal and financial mechanisms for engaging the private sector and incentivizing resident participation is vital. In addition, complementary efforts to enhance infrastructure and expand green urban spaces must be integrated into regeneration plans. Ultimately, housing-led regeneration should be positioned not as an isolated intervention but as a fundamental pillar of sustainable urban development, equipping cities to navigate complex socio-urban challenges with greater adaptability and resilience.
