Highlights•A new deep learning-based method to automate modular housing design
considering constraints of manufacturing and assembly•A flexible automated module …

Communities residing in hazard-prone zones are more frequently affected by natural
disasters and generally tend to bear higher losses than other communities. General factors …

Postdisaster reconstruction of transportation infrastructures generally entails complex and
multiobjective planning and implementation options under uncertainty because of a large …

The adverse social and financial impacts of catastrophic disasters are increasing as
population centers grow. In recent years, destroying homes and infrastructures has resulted …

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 …

Housing recovery, especially for vulnerable populations, can be a challenging process.
Questions regarding whether to rebuild damaged housing and whether to restore it to its …

Post-disaster reconstruction of infrastructures represents a complex and multi-objective
problem. A large number of subjective and objective factors from various aspects, such as …

Natural hazards caused by the alteration of weather patterns expose populations at risk, with
an outcome of economic loss, property damage, personal injury, and loss of life. The …

ABSTRACT A natural disaster such as a flood affects all irrespective of age, race, gender,
income group, physical ability, and others. In particular, the lower income groups run the …

Disaster reconstruction is costly, and given limited resources, prioritization of the most critical
infrastructure elements is necessary. This paper summarizes a literature review exploring …