The philosophy and implementation of disaster risk mitigation through systematic efforts to evaluate and control the causal factors of disasters include decreased risk exposure, decreased vulnerability of individuals and property, wise land and sustainability management process along with enhanced receptiveness for adverse events. The definition of disaster risk represents the main concept of disasters as a function of various factors for risk assessment that are continually present. Disaster risk involves multiple aspects of possible losses that are often difficult to estimate.

However, with the knowledge of emerging hazards, big data analytics, and population and socio-economic development trends, disaster risks can be managed, measured, and mapped for more convenient mitigation plans. The main components for developing an efficient framework for disaster risk reduction are composed of four main phases which are mitigation, preparation, response, and recovery. Due to all crucial risks, different countries around the world are conducting policies, strategies, and planning for disaster risk reduction to develop resilient and sustainable cities. Furthermore, a strategic framework has been adopted by the United Nations (UN) aiming to achieve the 2030 Agenda for Sustainable Development Goals (SDGs). The main SDGs that are focusing on strengthening the resilience of cities and implementing risk reductions for structures and infrastructures are SDG 9 and SDG 11, respectively. Therefore, effective disaster risk reduction assessment models are considered vital for developing a more sustainable future. National and international institutions are addressing this issue by shedding light on pre-and post-planning strategies that could improve preparedness against natural hazard events. In addition, the visualization of natural hazards or risks is considered a challenging task, since it needs a high quantity of information to be depicted in a way that allows easier and clearer interpretation.

This Special Issue aims to present the challenges of disaster risk reduction, through new innovative methods to enhance the usage of hybrid multi-risk modeling, resilient perspective design, Internet of Things (IoT) risk assessment, and employing GIS tools to obtain spatial risk-vulnerability evaluation. This Special Issue targets different civil engineering fields paving the way towards a more sustainable world. We welcome both original research and review articles.

Potential topics include but are not limited to the following:

• Natural hazards risk assessments using IoT in urban areas
• Regional disaster risk assessment
• Systematic classification of natural hazards risk assessments
• Disaster risk reduction frameworks
• Cost-benefit analysis of emergency versus prevention
• Natural hazards warning alerts methodology
• Post-disaster rehabilitation planning
• Structure and infrastructure vulnerability assessment
• Management of natural disaster reduction
• Disaster risk reduction models based on eccentric and in-centric vulnerability factors
• Performance-based approaches for innovative emergency planning
• Public perception of disaster risks