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1- IAUM
2- University of Golestan
2- University of Golestan
Abstract: (7 Views)
Background and objective: To enhance seismic resilience, a precise and comprehensive identification of vulnerability components and a quantitative determination of each variable's impact in an integrated and systematic manner is considered the most fundamental and strategic approach. This research aims to evaluate seismic resilience through the application of multi-criteria decision-making methods, considering various dimensions, including physical, infrastructural, economic, social, and managerial components. This comprehensive approach enables the identification of strengths and weaknesses in each of these areas, creating a suitable platform for developing effective intervention programs aimed at improving resilience against earthquakes.
Method: This research employs a systematic approach, initially extracting resilience indicators through a comprehensive literature review and identifying variables influencing each indicator. Subsequently, Principal Component Analysis (PCA) was utilized, alongside data processing techniques, to determine key factors. Following this, ten residential apartments in various locations across Mashhad were selected, and their resilience was assessed through a multi-criteria evaluation process using the Analytic Hierarchy Process (AHP). Finally, a comprehensive seismic resilience index was calculated by aggregating weighted values of standardized indicators, providing a holistic measure for evaluating the overall resilience of buildings. This index enables comparison and ranking of buildings based on their level of earthquake resilience.
Results: The principal component analysis reveals significant correlations between the examined variables and seismic resilience. Among the principal components, the physical component exhibits the most substantial influence on the level of seismic resilience. Furthermore, considering the relationship between parameters and resilience indicators, housing quality, with a factor loading of 0.996, plays the most significant role in ensuring the seismic resilience of residential apartments in Mashhad.
Conclusion: This research offers a comprehensive framework for assessing resilience, identifying existing vulnerabilities, and providing a crucial foundation for designing and implementing targeted and effective preventative measures. By considering the identified spatial patterns of vulnerability, these measures, as part of a resilience-based approach, can effectively mitigate earthquake damage. However, fully realizing the goals of this research requires replication in other regions of the country and at the national level to obtain a comprehensive picture of seismic resilience at a macro level, enabling more precise planning.
Method: This research employs a systematic approach, initially extracting resilience indicators through a comprehensive literature review and identifying variables influencing each indicator. Subsequently, Principal Component Analysis (PCA) was utilized, alongside data processing techniques, to determine key factors. Following this, ten residential apartments in various locations across Mashhad were selected, and their resilience was assessed through a multi-criteria evaluation process using the Analytic Hierarchy Process (AHP). Finally, a comprehensive seismic resilience index was calculated by aggregating weighted values of standardized indicators, providing a holistic measure for evaluating the overall resilience of buildings. This index enables comparison and ranking of buildings based on their level of earthquake resilience.
Results: The principal component analysis reveals significant correlations between the examined variables and seismic resilience. Among the principal components, the physical component exhibits the most substantial influence on the level of seismic resilience. Furthermore, considering the relationship between parameters and resilience indicators, housing quality, with a factor loading of 0.996, plays the most significant role in ensuring the seismic resilience of residential apartments in Mashhad.
Conclusion: This research offers a comprehensive framework for assessing resilience, identifying existing vulnerabilities, and providing a crucial foundation for designing and implementing targeted and effective preventative measures. By considering the identified spatial patterns of vulnerability, these measures, as part of a resilience-based approach, can effectively mitigate earthquake damage. However, fully realizing the goals of this research requires replication in other regions of the country and at the national level to obtain a comprehensive picture of seismic resilience at a macro level, enabling more precise planning.
Keywords: Built Environment, Seismic Resilience, Residential Use, Multi-Criteria Assessment, Analytical Hierarchy Process
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