Building Information Modeling (BIM) is a methodology to digitally represent all the physical and functional characteristics of a building. Importantly, in smart buildings smart components that are enabled with sensing and actuation need to be modeled accurately within the BIM model. This data representation needs to include multiple status of the smart component based on their performance to guide the design and construction process. However, currently there is not a clear methodology or guideline on how to embed smart components in the BIM model. Visualization techniques have been developed based on CAD technology to integrate smart components in the building model but these techniques have not been applied to BIM environment. To accurately model smart components, the component must be more than a single status representation and must contain complete and accurate dynamic data of the smart component. In this research, data properties, visualization techniques, and categorization of smart components is investigated. Then, through an experimental investigation, nine smart components across five building disciplines are modeled and embedded in a BIM model of a smart space. The model includes parameters that facilitate the data representation of the smart components. Data properties, data organization, and simulation of the smart component within the building model is explained. Challenges and future research is discussed.

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Most research works have focused predominantly on categorizing temporary houses and have neglected to create an assessment tool for selecting the most optimal temporary housing option based on their performances. This research aims to: (1) investigate the relevant vital indicators affecting the post-disaster temporary house construction process; (2) create a performance indicator (PI) table to help in creating more sustainable and resilient temporary houses; (3) examine each of the existing temporary houses based on the factors derived from the PI table; and (4) create a numerical scale from the evaluation table in order to compare options and measure their performance. This research would act as a guide for stakeholders to find the most appropriate option for the region based on the unique characteristics of the event and the available equipment and facilities

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