Abstract
This research aims to develop a BIM-enabled approach to evaluating the qualitative factors of building circulation. Building circulation should be strategically planned with consideration for efficiency, privacy, safety, and additional binding-forced factors such as fire-egress. As these building circulation factors impact overall spatial planning and building organization, a well-defined circulation plan is critical, especially in the early phases of design. In order to establish an optimal circulation plan, architects and related specialists manually conduct iterative analysis tasks to improve the design based on their knowledge and expertise. With the advent of Building Information Modeling (BIM), building design and analysis can be automated by BIM-enabled assessment tools applied to given models. BIM-enabled analysis is based on a series of explicit quantitative data computed from building components and their properties, such as metric distance and number of turns. This enables us to measure explicit egress distances between specific spaces and exits in accordance with the regulations of the national Fire Code. However, even more intrinsic building circulation factors such as ‘convenient access’ have generally been ignored in the development of such BIM applications. This paper proposes an answer to the question of how to measure qualitative building circulation factors using BIM-enabled quantities. Two key categorical elements are suggested as a potential solution: BIM-enabled circulation quantity and a weighted function. In order to measure qualitative factors, building circulation quantities are classified and applied to a weighted function that can assign a relative importance to each factor. The applicability of the evaluation approach was checked by a circulation analysis application on a test case.
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Shin, J., Huang, J., Lee, JK. (2017). A Method for Measuring Qualitative Building Circulation Factors—A BIM-Enabled Approach Using Quantities. In: Lee, JH. (eds) Morphological Analysis of Cultural DNA. KAIST Research Series. Springer, Singapore. https://doi.org/10.1007/978-981-10-2329-3_16
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DOI: https://doi.org/10.1007/978-981-10-2329-3_16
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