Earthquakes are among the natural disasters that leave destructive impacts on human settlements and impose heavy casualties and financial losses on their residents. Meanwhile, the physical vulnerability of urban areas directly affects the human losses resulting from such crises. Disasters have significantly influenced the living conditions of urban populations worldwide. The increasing frequency and severity of these calamities have made resilience-focused research indispensable in urban studies, leading to the rapid integration of the concept of resilience into the literature of urban sustainability. One of the key pillars of resilience in urban systems is the concept of physical resilience dimensions, which systematically analyzes the physical elements and structures. This study aimed to evaluate the spatial components of physical resilience against earthquakes in the Darreh Garm neighborhood of Khorramabad city. In terms of methodology, considering the studied components, the research falls under descriptive-analytical studies, and regarding its purpose, it is considered an applied developmental study. To analyze the data and prepare the required maps, the ARC GIS software was utilized. In this research, the Analytic Network Process (ANP) model was employed to assign weights to the studied indices, and Fuzzy Overlay was used for data overlaying and analysis. The results of the study indicate that the northwest and southwest parts of the neighborhood exhibit higher resilience against earthquakes due to the presence of more vacant lands, which facilitates rescue operations. Conversely, the eastern and central parts of the neighborhood show lower resilience because of high density, which hinders effective emergency response efforts.