Natural Hazards (Springer)

This study initially considers the seismicity of the Türkiye region where the earthquakes that occurred on 6 February 2023 took place, as well as the seismic characteristics of these earthquakes.

This study proposes an analytical framework for urban disaster recovery and resilience based on social media data that can analyze short-term disaster recovery and assess disaster resilience from the perspectives of infrastructure.

This paper develops a community resilience index for Kerala’s urban flood-prone areas (CRIF) through a rigorous bottom-up approach. Further, the CRIF Index is put into action through a case study of the Kochi Municipal Corporation area.

This study builds on natural hazards behavior, community development, participatory, and codesign research to understand current community engagement approaches in an Australian context.

This paper proposes a scientific concept of digital twin-driven systematic construction of intelligent disaster prevention and mitigation for infrastructure (IDPMI), which intends to clarify the potential of digital twin (DT) in disaster management.

This research focuses on using flood damage reports in conjunction with contour maps, geographical information systems, Light Detection and Ranging (LiDAR) data, photographs, and spatial averaging to develop total (high) flood elevation data sets.

The purpose of this study is to analyze optimization-based decision-making models for the problem of Disaster Recovery Planning of Transportation Networks (DRPTN).

This article explores the spatial differentiation and integration between the post-disaster victims and the indigenous peasants 8 years after a rapid off-site resettlement oriented by governments in New Beichuan. Data were broadly collected from placement