Fuzzy Logic-Based Assessment of Spatial Resilience for Seismic Risk: A Case Study of Roshdieh Neighborhood, Tabriz, Iran

Articles in Press

Document Type : Research Paper

Authors

1 Department of Architecture, Faculty of Engineering, Tabriz University, Tabriz, Iran.

2 Department Urban and regional Planning, Faculty of Planning and Environmental Sciences, University of Tabriz, Tabriz, Iran

10.22034/gp.2026.67391.3408

Abstract

Integrated planning and resilience-based approaches play a fundamental role in reducing urban vulnerability to natural hazards and accelerating post-disaster recovery. Accordingly, this study aims to assess and enhance spatial resilience at the neighborhood scale, focusing on the Roshdieh neighborhood of Tabriz, which is located along the North Tabriz Fault and is exposed to high seismic risk. A descriptive–analytical methodology is adopted, and three key components influencing spatial resilience are examined: access to medical and emergency services, distribution and accessibility of open and shelter spaces, and the spatial configuration of the street network.

The study integrates spatial and configurational analysis techniques based on Space Syntax with a network-based analytical approach using the Analytic Network Process (ANP). This integrated framework enables the evaluation of both internal network interdependencies among the components and the external dependency of each component in enhancing spatial resilience. The results of the quantitative ANP analysis provide a priority-based roadmap for resilience-oriented spatial planning.

The findings reveal that “equitable distribution and accessibility of open and shelter spaces” constitute the core of spatial resilience, accounting for 62.5% of the overall contribution. Beyond serving as final evacuation destinations, these spaces independently contribute to mitigating primary damages. The “quality of the street network” ranks second with a weight of 23.8%, highlighting its critical facilitative role in ensuring effective access to safe spaces and urban services during emergencies. Although “access to medical and emergency services” has the lowest independent weight (13.6%), its importance increases to 39.5% through network interactions, indicating a strong dependence on street network efficiency and proximity to safe open spaces. Overall, the study underscores the analytical superiority of network-based approaches over hierarchical models and emphasizes the necessity of adopting a holistic perspective in urban spatial resilience planning.

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Journal of Geography and Planning

Articles in Press, Accepted Manuscript
Available Online from 03 March 2026

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