## 8 Conclusions  
This paper primarily focuses on outlining methodologies and the evaluation steps for assessing the seismic performance of structures. Emphasizing the critical importance of this performance, especially in earthquake-sensitive areas, the paper underscores the direct impact on inhabitant safety and the economic viability of infrastructure. It presents a comprehensive review of various pushover analysis methods, detailing the unique characteristics and historical development of each technique. The paper also includes in-depth evaluations and comparisons of these methods, anchored in the analysis of previous research, with a specific focus on approaches such as the adaptive modal combination (AMC) method.  
The main goal of this research was to offer a comprehensive overview of pushover analysis methods, targeting a varied audience that includes engineers, architects, and urban planners. The study acknowledges the challenge of comparing different pushover analysis techniques due to their complex nature. It focuses on assessing various methodologies regarding their computational efficiency and practical application, aiming to elucidate their effectiveness and suitability in specific contexts.  
One of the salient advantages of the methods discussed is their adaptability across different geographical regions, with necessary modifications. These techniques can be instrumental in formulating regional seismic risk scenarios and strategies.  
However, it is imperative to note that different pushover analysis methods might yield varying results when gauging seismic performance. These variations arise from the distinct parameters each method considers, with the influence of each parameter differing across methodologies. As a result, there is a pressing need to calibrate existing pushover analysis techniques or to develop new methods. Understanding the current pushover analysis methods in-depth is crucial to make informed modifications or developments, addressing challenges like site-specific characteristics and data uncertainties.  
To enhance the existing pushover analysis methods:  
* A diverse range of buildings could be examined using refined seismic assessment techniques.
* The outcomes of pre-seismic evaluations, possibly using digital tools, can be juxtaposed with post-seismic data to ascertain the accuracy of the pushover analysis methods.
* Advanced computational techniques, such as machine learning algorithms, can be integrated with post-seismic building evaluation data to rectify the limitations of traditional pushover analysis methods.  
By employing these strategies, refinements can be introduced to the parameters used in pushover analysis, leading to significant advancements in the methodology. A profound understanding of each parameter's impact on structural performance is essential, and their relative significance should be determined to make the pushover analysis more robust and reliable.  
Conceptualization, K.K.K. and O.K.K.-B; investigation, K.K.K.; writing--original draft preparation, K.K.K.; writing--review and editing, O.K.K.-B.; supervision, O.K.K.-B. All authors have read and agreed to the published version of the manuscript.  
This research received no external funding.  
Not applicable.  
Data are contained withing the article.  
The authors declare no conflicts of interest.