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The use of Building Information Modeling (BIM) technology has facilitated storage and reuse of information throughout the lifecycle of construction projects. Despite its benefits, construction industry has witnessed several obstacles in adopting BIM technology in terms of people management. This paper investigates how ADKAR model (an acronym for five stages of effective lasting people change: awareness, desire, knowledge, ability, and reinforcement) can contribute to successful adoption of BIM in construction sector. This study was conducted in two main stages: a rigorous literature review process followed by data collection using eight in-depth interviews with construction project managers. Data was analyzed following Bryman and Bell's [(2007). Business Research Methods. Oxford: Oxford University Press] steps for thematic analysis. The results from interviews combined with results of literature review contribute to the development of an integrated conceptual model of change management. The conceptual model identifies two main phases of determinants for successful change management process towards the adoption of BIM technology using ADKAR model. Firstly, engineers as designers with different specialist (i.e., architectural, civil, electrical, mechanical), engineers as contractors, and clients require the enhancement of all five dimensions of ADKAR for a lasting change. Secondly, government requires the enhancement of three main dimensions of ADKAR model, namely awareness, desire, and reinforcement. [ABSTRACT FROM AUTHOR]

This paper presents two complementary methods: an approach to compute a network data-set for indoor space of a building by using its two-dimensional (2D) floor plans and limited semantic information, combined with an optimal crowd evacuation method. The approach includes three steps: (1) generate critical points in the space, (2) connect neighbour points to build up the network, and then (3) run the optimal algorithm for optimal crowd evacuation from a room to the exit gates of the building. Triangulated Irregular Network (TIN) is used in the first two steps. The optimal evacuation crowd is not based on the nearest evacuation gate for a person but relies on optimal sorting of the waiting lists at each gate of the room to be evacuated. As an example case, a rectangular room with 52 persons with two gates is evacuated in 102 elementary interval times (one interval corresponds to the time for one step for normal velocity walking), whereas it would have been evacuated in not less than 167 elementary steps. The procedure for generating the customized network involves the use of 2D floor plans of a building and some common Geographic Information System (GIS) functions. This method combined with the optimal sorting lists will be helpful for guiding crowd evacuation during any emergency. [ABSTRACT FROM PUBLISHER]