The field of research focuses on the reliability, risk, resilience, and sustainability of the built environment under seismic events. With the increasing frequency and severity of natural disasters, it is critical to develop robust frameworks that address the complex interplay of social, economic, and environmental factors impacting the built environment during extreme events. Seismic events pose significant risks, affecting not only the structural integrity of buildings and infrastructure systems but also the socioeconomic aspects of communities. The impacts of earthquakes extend beyond immediate aftereffects, continuing to influence the recovery period. Recent studies have made strides in integrating advanced engineering principles with sustainability and resilience metrics to develop holistic solutions. However, there remains a need for comprehensive frameworks that enhance decision-making processes for building design and rehabilitation under seismic conditions, addressing existing gaps in knowledge and practice.

This research topic aims to develop a comprehensive framework that enhances the decision-making process for building design and rehabilitation under seismic events. The primary goal is to develop advanced methodologies to improve the reliability, risk assessment, resilience, and sustainability of built environments facing seismic hazards. By integrating performance-based methodologies, probabilistic tools, and multi-criteria decision-making, the research seeks to optimize building performance, reduce economic losses, and improve environmental sustainability. The research will leverage recent advances in performance-based earthquake engineering, energy modeling, and life cycle analysis to create robust tools that guide stakeholders in making informed decisions balancing safety, cost, and sustainability.

To gather further insights into the reliability, risk, resilience, and sustainability of built environments under seismic events, we welcome articles addressing, but not limited to, the following themes:
- Development and application of probabilistic multi-criteria decision-making frameworks for enhancing structure and infrastructure systems.
- Performance-based earthquake engineering methodologies and their integration with life cycle analysis.
- Case studies demonstrating the application of advanced frameworks in different geographic locations, structural systems, and building envelope systems.
- Use of novel technologies such as machine learning and deep learning to enhance the performance of the built environment.

Authors are encouraged to submit original research, review articles, and case studies that provide insights into innovative approaches for enhancing the reliability, risk management, resilience, and sustainability of buildings in the face of seismic hazards. Manuscripts should present significant advancements, practical implementations, and interdisciplinary approaches to address the complexities of managing built environments under extreme events.

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Frontiers in Built Environment

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