Function space assignment determines the function of all spaces and is essential to the design of a remodeled building. Optimization of function space assignment that relies upon users' activities is difficult due to the lack of quantifiable and detailed data about users' activities. In this paper, an activity-based simulation process model consisting of five phases is proposed and applied to an actual project. The phases include activity data collection, activity simulation, space movement pattern mining, function-space assignment optimization, movement simulation and assessment. The process also allows the building administrator to adjust the optimized assignment to accommodate hard-to-quantify preferences via a variety of indexes such as movement distance, corridor flow, and other space usage-related indexes. Results from application of the proposed model to an actual remodeling project indicated that the model offered the administrator a better assignment than the contracted architect, with a 5.79% increase in the objective function and a 23.92% decrease in movement distance.
Abstract-Function-space assignment, which allocates a function for each space in a facility, is one of the most important factors in determining the usability performance of a facility. An educational facility is often used through activity participation of different groups such as faculty or construction management graduate students. Members of a group participate in the same activities but with different behaviors (e.g., attendance rate, arrival time). This research uses two modules to optimize the function space assignment. The first module uses simulation technique to randomly generate activity data to accommodate the uncertain nature of activities. The second module uses the fmGA to optimize the function-space assignment. This paper also presents a real case study to demonstrate the use of the proposed model and compares its assignments with those generated by a renovation architect. The result shows a 14.80% higher objective value than the architect's version.Index Terms-Function-space assignment, fast messy genetic algorithms, activity simulation.
Abstract-Determining the function for each space in a building plays an important role for assessing the service level of an educational facility. The function layout affects how users move between spaces during their participation of activities in the facility. This research describes the integration of an activity-based simulation model and a space-function assignment optimization model with six phases, including data collection, data preparation, data mining, optimization, verification, and refinement. The paper also uses a real case to demonstrate the use of the proposed model, and has shown a 4.96% improvement on the objective value compared to the contracted architect's original plan.
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