Current approaches and critical issues in multi-risk recovery planning of urban areas exposed to natural hazards

S Mohammadi, S De Angeli, G Boni… - … Hazards and Earth …, 2024 - nhess.copernicus.org
Post-disaster recovery has been addressed in the literature by different sectoral
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

A Rawat, E Witt, M Roumyeh, I Lill - Buildings, 2024 - mdpi.com
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 …

Automated modular housing design using a module configuration algorithm and a coupled generative adversarial network (CoGAN)

P Ghannad, YC Lee - Automation in construction, 2022 - Elsevier
Highlights•A new deep learning-based method to automate modular housing design
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

Z Gharib, M Yazdani, A Bozorgi-Amiri… - Journal of …, 2022 - academic.oup.com
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 …

Optimizing modularization of residential housing designs for rapid postdisaster mass production of housing

P Ghannad, YC Lee - Journal of Construction Engineering and …, 2023 - ascelibrary.org
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 …

Prioritizing postdisaster recovery of transportation infrastructure systems using multiagent reinforcement learning

P Ghannad, YC Lee, JO Choi - Journal of Management in …, 2021 - ascelibrary.org
Postdisaster reconstruction of transportation infrastructures generally entails complex and
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

S Pan, Z Zhao, HW Lim, N Li, D Fang - International Journal of Disaster Risk …, 2022 - Elsevier
With rapid urbanization, today's cities are increasingly vulnerable to unpredictable and
catastrophic environmental hazards such as earthquakes. A quantitative approach for …

Risk-response strategy optimization considering limited risk-related resource allocation and scheduling

F Zuo, E Zio, Y Yuan - Journal of Construction Engineering and …, 2022 - ascelibrary.org
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) …

Public demand urgency for equitable infrastructure restoration planning

Y Chen, W Ji - International Journal of Disaster Risk Reduction, 2021 - Elsevier
Following disasters, public demand urgency is an essential element for equitable
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 …