Journal of Urban Studies on Space and Place

Abstract Neighborhood-level unsustainability is a pervasive challenge in contemporary cities. Contemporary neighborhoods frequently lack the social, spatial, and institutional conditions necessary to function as resilient communities; where such conditions persist, they are often weakened by inappropriate spatial transformations. Indigenous knowledge in Iran contains conceptual resources for understanding and addressing these processes, but these resources have been partially neglected and require reinterpretation to align with modern urban contexts. This study develops a conceptual framework to clarify sustainability concepts and to define normative criteria and measurable indicators for assessing neighborhood sustainability in Isfahan. First, the study identifies core sustainability dimensions across social, economic, and environmental domains. Next, it operationalizes these dimensions by specifying indicators and metrics designed to move assessment toward a continuous, adaptive process. Employing a qualitative methodology grounded in analytical field ethnography and an interpretive approach, data were collected through participatory observation, non-intrusive photographic and video documentation, unstructured interviews, and field notes; data analysis followed systematic content-analysis procedures. Findings indicate that the extracted indicators exhibit substantial desirability within the Sangtarashha neighborhood center. Based on these results, the study proposes targeted interventions to enhance the neighborhood’s long-term sustainability. The proposed framework aims to be transferable to similar urban contexts and to inform policy and community-led initiatives.
Neighborhood instability constitutes a central and escalating problem in urban environments, yet scholarly and practical frameworks that integrate local knowledge with contemporary sustainability assessment tools remain limited—especially in the Iranian context. This research aims to fill that gap by developing a robust framework that synthesizes theoretical and empirical perspectives on sustainability and produces actionable norms and indicators for neighborhood-level assessment and intervention.
Keywords: Neighborhood sustainability; community formation; indigenous knowledge; Sangtarashha; Isfahan
Extended Abstract:
Background and Aim:
Neighborhood instability constitutes a central and escalating problem in urban environments, yet scholarly and practical frameworks that integrate local knowledge with contemporary sustainability assessment tools remain limited—especially in the Iranian context. This research aims to fill that gap by developing a robust framework that synthesizes theoretical and empirical perspectives on sustainability and produces actionable norms and indicators for neighborhood-level assessment and intervention.
Conceptual Framework:
The research adopts a tripartite conceptualization of sustainability—social, economic, and environmental—each operationalized through specific subdimensions. Social sustainability encompasses social cohesion, civic participation, place attachment, and cultural continuity. Economic sustainability includes local economic vitality, livelihood diversity, informal and formal economic opportunities, and resident economic resilience. Environmental sustainability covers the quality and accessibility of public space, ecological management, service provision, and adaptive infrastructural practices. The framework emphasizes iterative assessment: indicators are selected both for diagnostic clarity and for their capacity to inform ongoing, adaptive planning and community action.
Methodology:
A qualitative, analytical ethnographic approach was employed with an interpretive orientation. Primary data collection methods included:
• Participatory observation to capture everyday social interactions and spatial practices;
• Non-intrusive photographic and video documentation to record physical conditions and land-use patterns;
• Unstructured interviews with residents, local leaders, and stakeholders to elicit emic perspectives; and
• Detailed field notes for contextualization.
• Collected data were subjected to thematic content analysis, employing systematic coding procedures to identify patterns, strengths, vulnerabilities, and potential leverage points for intervention.
Findings:
Analysis revealed that the indicators derived from the framework corresponded strongly with residents’ perceptions and observable conditions in Sangtarashha. In particular, socio-cultural assets—such as localized networks of reciprocity, place-based identities, and informal institutions—emerged as prominent strengths that could be leveraged to support broader sustainability objectives. Economic indicators highlighted both opportunities (small-scale commerce, adaptive livelihoods) and constraints (limited access to formal employment and capital). Environmental indicators showed mixed outcomes: while some public spaces exhibited strong use-value and social importance, infrastructural and ecological deficits limited their full sustainability potential.
Conclusions and Recommendations:
The study concludes that combining indigenous knowledge with a structured, indicator-based framework provides a viable approach for diagnosing neighborhood sustainability and designing context-sensitive interventions. Recommendations include:
• Strengthening local institutions and community networks to harness social capital for collective action;
• Supporting microenterprises and local economic diversification through targeted financial and capacity-building programs;
• Implementing incremental, low-cost environmental interventions to improve public-space quality, water management, and service delivery; and
• Establishing participatory monitoring mechanisms that use the proposed indicators to guide iterative planning.
Implications and Future Research:
This framework contributes a practical tool for urban practitioners and planners seeking to integrate cultural-contextual knowledge into sustainability assessment. Future research should operationalize the indicators quantitatively, validate the framework across diverse neighborhoods, and pilot intervention packages with longitudinal evaluation to measure impacts over time.

Abstract Extended Abstract

Introduction

In today’s world, cities have transformed into complex and dynamic environments that significantly affect people’s daily lives. Uncontrolled urban development, population growth, climate change, and depletion of natural resources are among the factors that have posed serious challenges to urban quality of life. One of the most critical challenges is air pollution, which has become a global issue, threatening the physical and mental health of citizens. Amol, as one of the key cities in Mazandaran Province, faces challenges such as air pollution, a lack of green spaces, and insufficient attention to human dimensions in urban design.

The reduction of green spaces due to uncontrolled construction and the lack of sustainable design principles has deprived residents of access to relaxing and recreational areas. This situation not only negatively impacts the physical and mental health of citizens but also reduces social interactions, increases feelings of loneliness and loss of identity among residents, and ultimately leads to increased public dissatisfaction.

Given Amol’s unique natural and cultural characteristics, the integration of nature into urban architectural design as a strategy for improving quality of life is more essential than ever. Green spaces and natural elements, in addition to enhancing the aesthetic appeal of urban environments, can help reduce pollution, alleviate stress, foster social interactions, strengthen the sense of belonging, and preserve the cultural and natural identity of the city. Accordingly, this study aims to identify effective strategies for integrating nature into modern architectural design to improve the quality of urban life in Amol.

Research Methodology

This study, which investigates the impact of nature integration into urban architectural design on the quality of life of Amol residents, employs a descriptive-analytical and quantitative methodology. The primary tool for data collection is structured questionnaires, comprising 42 objective and subjective indicators across social, economic, environmental, and physical dimensions. The indicators were selected based on literature review, fundamental theories, and analysis of residents’ needs to provide precise and comprehensive information about the factors influencing quality of life.

The collected data was analyzed using SPSS software. Quantitative data was examined through descriptive and inferential statistical methods, including mean, standard deviation, correlation analysis, and regression analysis. These methods helped identify relationships between quality of life indicators and the influencing factors, with results presented in both quantitative and qualitative formats.

Simple random sampling was used, and the sample size was determined to be 385 questionnaires based on Cochran’s formula. The questionnaires were randomly distributed among residents of various areas in Amol to ensure representation of real opinions and experiences. Prior to final distribution, the reliability and validity of the tool were evaluated using Cronbach’s alpha test, which yielded acceptable reliability results with a Cronbach’s alpha above 0.7.

Findings

The findings indicate that Amol residents are highly satisfied with certain quality-of-life indicators such as social participation and a sense of security. Specifically, the security and safety indicator, with a mean score of 3.8, ranked the highest, reflecting residents’ relative sense of security. Designing well-lit and safe public spaces can enhance this feeling and lead to a reduction in crime rates within the community. The social participation indicator, with a mean score of 3.6, ranked second, underscoring the importance of social interactions in improving quality of life. These interactions can be fostered through social and cultural events held in public spaces.

However, the environmental quality indicator, with a mean score of 3.2, received the lowest ranking, highlighting the urgent need for improved environmental infrastructure and expanded green spaces in Amol. Air pollution and the reduction of green spaces are among the major issues faced by residents. Modern architectural design must focus on preserving and creating green spaces while reducing environmental pollution to improve environmental quality and provide a healthier living environment.

Regression analysis revealed that access to public services, with a coefficient of 0.45, has the strongest impact on quality of life. This indicator, which includes access to healthcare, education, and public transportation services, was identified as a key factor in improving quality of life. Moreover, security and safety (coefficient 0.30), environmental quality (coefficient 0.25), and social participation (coefficient 0.20) also significantly influence quality of life.

Conclusion

The findings of this study demonstrate that integrating nature into urban architectural design can have significant impacts on residents’ quality of life. Improving environmental quality through the creation and maintenance of green spaces and the reduction of air pollution is identified as a top priority. Additionally, designing public spaces that promote social interactions can strengthen the sense of belonging to the environment and enhance overall quality of life.

This study also emphasizes that urban planners must simultaneously address social, economic, and environmental dimensions to make effective decisions for sustainable development and improving quality of life. The results of this research can serve as a resource for identifying challenges and opportunities and providing practical solutions to improve urban living conditions in Amol. Sustainable urban design that incorporates nature not only enhances quality of life but also preserves the cultural and natural identity of the city, contributing to long-term development.