## 1 Introduction
In this context, the effects of ground motion on structures and the target displacements expected from the structure can be obtained more realistically using microzoning and site-specific analyses of seismic hazards. In microzoning studies, the region is divided into subregions, and efficient plans and strategies can be performed to minimize earthquake damages. Thus, using technological developments, economical potential, and scientific approaches, seismic microzoning has started to be used in the country with the updated Turkish Earthquake Hazard Map. Henceforth, site-specific seismic hazard analyses for any geographic location can be performed by using this map. In this study, the seismic risk of the Eastern Anatolian Region was evaluated using a performance-based earthquake engineering approach. This approach aims at improving seismic risk decision making through assessment and design methods that have a strong scientific background and express options that enable stakeholders to make informed decisions. It includes four processing steps such as hazard analysis, structural or non-structural analyses, and damage and loss estimations. The first step requires hazard analysis, in which one or more ground motion Intensity Measurements (IMs) are evaluated. The IM is obtained independently from local soil conditions by conventional probabilistic seismic hazard analysis for a standard earthquake. Generally, an IM is defined by an associated average annual probability of exceedance, which is specific to the location and design characteristics of the region [4; 19; 20]. It is possible to quantify the damage levels that may occur under the design's ground motion within the structural system elements in the performance-based design and evaluation method. Acceptable damage limits are defined to be consistent with the expected performance targets at various earthquake ground motion levels [21; 22]. First, the earthquake demand is calculated in performance-based design and assessment methods. It is then necessary to determine the structural performance by comparing these demand values with the deformation capacity for the selected performance levels [23; 24; 25; 26]. However, it may not reflect the expected state of the design, since the acceleration values given in the standards cannot clearly meet the actual physical conditions in which the buildings exist [27; 28; 29; 30]. According to the Turkish Earthquake Building Code (TBEC-2018) [31], the demand spectra are determined for the seismic performance of an existing building based on a different probability of exceedance in 50 years. The Eastern Anatolia Region is seismically very active region. The 2003 Bingol (Mw = 6.4), 2011 Van (Mw = 7.2), and 2020 Elazg (Mw = 6.8) earthquakes reveal the seismic hazard in the region. Earthquake-prone regions may be determined--and significant contributions can be made--to update seismic design codes by using the data obtained from destructive earthquakes. In this context, the effects of the 2011 Van earthquakes in particular contributed to the development of the the TBEC-2018 [31]. Moreover, it is mandatory to use an earthquake hazard map with this updated code. The earthquake building parameters can be obtained for any location through this map [31; 32]. Here, all provincial centers in the Eastern Anatolia Region (Figure 1) were studied. The seismic moment (Mo) variations for the region were obtained using different types of earthquake magnitudes such as Mw, Ms, and Mb. Additionally, using the earthquake ground motion levels with 2%, 10%, 50%, and 68% probability of exceedance within a 50-year period, the short-period map spectral acceleration coefficient (S\({}_{\text{s}}\)), map spectral acceleration coefficient for 1 s (S\({}_{1}\)), PGA, and PGV were calculated. The earthquake ground motion level (DD-2) was used to obtain the horizontal and vertical elastic design spectra for all provinces. Aside from that, these spectra were compared for the Bingol province, which has the highest PGA.