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Identifying Best Practices for the Construction of Residential Basements in Fargo, North Dakota, USA Using Building Information Modeling (BIM)

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Advances in Human Factors in Architecture, Sustainable Urban Planning and Infrastructure (AHFE 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1214))

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Abstract

This study aimed to evaluate and improve the construction processes for basements in Fargo, North Dakota. Basement construction was scrutinized in this study as a small but vital aspect of the many processes that go into building many homes in Fargo. A typical residential basement was analyzed to identify critical areas that could be improved in the construction process. An interactive BIM model of an as-built home in Fargo was developed for quantitative analysis. Face to face interviews and surveys with local contractors and home owners were conducted to ascertain their views and register complaints and suggestions on current standard practices in basement construction. The completed model displays hotspots within current construction practices, recommends appropriate measures for common basement issues during and after construction as well as suggest parameters designers and planners can use to make informed decisions on basement construction.

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Acknowledgments

This work is supported by the EPSCoR funding, a research program among many others at North Dakota State University (NDSU). We would like to express our sincere gratitude to NDSU for their continuous support and guidance.

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Correspondence to Abdul-Aziz Banawi .

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Banawi, AA., Ahiable, C., Gao, Z., Bin, B. (2020). Identifying Best Practices for the Construction of Residential Basements in Fargo, North Dakota, USA Using Building Information Modeling (BIM). In: Charytonowicz, J. (eds) Advances in Human Factors in Architecture, Sustainable Urban Planning and Infrastructure. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1214. Springer, Cham. https://doi.org/10.1007/978-3-030-51566-9_22

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  • DOI: https://doi.org/10.1007/978-3-030-51566-9_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-51565-2

  • Online ISBN: 978-3-030-51566-9

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