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Current approaches and critical issues in multi-risk recovery planning of urban areas exposed to natural hazards
Post-disaster recovery has been addressed in the literature by different sectoral
perspectives and scientific communities. Nevertheless, studies providing holistic …
perspectives and scientific communities. Nevertheless, studies providing holistic …
[HTML][HTML] Advanced digital technologies in the post-disaster reconstruction process—A review leveraging small language models
Post-disaster reconstruction of the built environment represents a key global challenge that
looks set to remain for the foreseeable future, but it also offers significant implications for the …
looks set to remain for the foreseeable future, but it also offers significant implications for the …
Automated modular housing design using a module configuration algorithm and a coupled generative adversarial network (CoGAN)
Highlights•A new deep learning-based method to automate modular housing design
considering constraints of manufacturing and assembly•A flexible automated module …
considering constraints of manufacturing and assembly•A flexible automated module …
Develo** an integrated model for planning the delivery of construction materials to post-disaster reconstruction projects
Construction material delivery to post-disaster reconstruction projects is challenging
because of the resource and time limitations that follow a large-scale disaster. There is …
because of the resource and time limitations that follow a large-scale disaster. There is …
Optimizing modularization of residential housing designs for rapid postdisaster mass production of housing
Postdisaster housing reconstruction (PDHR) is a highly complex process because of the
large number of recovery projects for affected communities and the shortage of resources …
large number of recovery projects for affected communities and the shortage of resources …
Prioritizing postdisaster recovery of transportation infrastructure systems using multiagent reinforcement learning
Postdisaster reconstruction of transportation infrastructures generally entails complex and
multiobjective planning and implementation options under uncertainty because of a large …
multiobjective planning and implementation options under uncertainty because of a large …
Restored quality of life-based approach (REQUALIFE) for urban seismic resilience assessment: Quantitative method
With rapid urbanization, today's cities are increasingly vulnerable to unpredictable and
catastrophic environmental hazards such as earthquakes. A quantitative approach for …
catastrophic environmental hazards such as earthquakes. A quantitative approach for …
Risk-response strategy optimization considering limited risk-related resource allocation and scheduling
Effective handling of project risks is an important part of project risk management. Various
methods have been proposed to determine the optimal set of risk-response actions (RRAs) …
methods have been proposed to determine the optimal set of risk-response actions (RRAs) …
Public demand urgency for equitable infrastructure restoration planning
Following disasters, public demand urgency is an essential element for equitable
infrastructure restoration planning. However, public demand urgency has yet been well …
infrastructure restoration planning. However, public demand urgency has yet been well …
Development of decision support tools for post-disaster infrastructure reconstruction and recovery: a sco** study
S Greenal, S Anilkumar - Sustainable and Resilient Infrastructure, 2024 - Taylor & Francis
ABSTRACT A structured decision support system is imperative for guiding implementation of
the dynamic and complex Post-disaster infrastructure reconstruction (PDIR) projects. This …
the dynamic and complex Post-disaster infrastructure reconstruction (PDIR) projects. This …