Abstracts – Browse Results
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Ade, R and Rehm, M (2021) RETRACTED ARTICLE: A summertime thermal analysis of certified green apartments for older people. Building Research & Information, 49(08), 949–60.
González-Prieto, D, Fernández-Nava, Y, Marañón, E and Prieto, M M (2021) Environmental life cycle assessment based on the retrofitting of a twentieth-century heritage building in Spain, with electricity decarbonization scenarios. Building Research & Information, 49(08), 859–77.
Jens, K and Gregg, J S (2021) The impact on human behaviour in shared building spaces as a result of COVID-19 restrictions. Building Research & Information, 49(08), 827–41.
Loosemore, M, Alkilani, S Z and Hammad, A W A (2021) The job-seeking experiences of migrants and refugees in the Australian construction industry. Building Research & Information, 49(08), 912–29.
Marocco, M and Garofolo, I (2021) Operational text-mining methods for enhancing building maintenance management. Building Research & Information, 49(08), 893–911.
- Type: Journal Article
- Keywords: Text mining; maintenance requests; facilities management (FM); computerized maintenance management system (CMMS);
- ISBN/ISSN: 0961-3218
- URL: https://doi.org/10.1080/09613218.2021.1953368
- Abstract:
Facility managers can significantly benefit from operational data, such as maintenance requests, stored in computerized maintenance management systems (CMMSs). This data is a valuable means to assess building performance and gain insights for preventive maintenance actions. However, databases are not always organized in such a way that allow undertaking analytics, therefore resulting in troubles when trying to generate useful information from raw data. This paper presents two methods based on a text-mining approach to extract valuable information from textual maintenance requests. The first method aims to extract the room identifier (ID) numbers where faults mainly occur, while the second one aims to identify the most problematic building elements and systems. The text-mining-based methods were tested by using a data set which contains 12,655 maintenance requests derived from a cluster of 33 buildings managed by the local administration of the Municipality of Trieste (Italy).
Prieto, A J (2021) Fuzzy systems in the digital management of heritage timber buildings in South Chile. Building Research & Information, 49(08), 878–92.
Wang, W, Gao, S, Mi, L, Xing, J, Shang, K, Qiao, Y, Fu, Y, Ni, G and Xu, N (2021) Exploring the adoption of BIM amidst the COVID-19 crisis in China. Building Research & Information, 49(08), 930–47.
Woo, J, Rajagopalan, P, Francis, M and Garnawat, P (2021) An indoor environmental quality assessment of office spaces at an urban Australian university. Building Research & Information, 49(08), 842–58.