Abstracts – Browse Results
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Aboseif, E and Hanna, A S (2024) Benchmarking of construction projects performance for comparative assessment and performance improvement: a statistical quantitative approach. Engineering, Construction and Architectural Management, 31(07), 2829-51.
Al-Hadidi, S, Sweis, G, Abu-Khader, W, Abu-Rumman, G and Sweis, R (2024) Managing future urbanization growth patterns using genetic algorithm modeling. Engineering, Construction and Architectural Management, 31(07), 2648-68.
Delgado-Hernández, D J and Palacios-Navarro, U J (2024) A Bayesian network for selecting improvement management tools to increase customer satisfaction in the construction industry: case study of Mexico. Engineering, Construction and Architectural Management, 31(07), 2900-15.
Gibson, G E, El Asmar, M, Yussef, A and Ramsey, D (2024) A novel approach for measuring the accuracy of front end engineering design. Engineering, Construction and Architectural Management, 31(07), 2669-96.
Guo, J, Xiang, P, Liu, Q and Luo, Y (2024) Transportation infrastructure network optimisation based on computer simulation using Sichuan Province, China as an example. Engineering, Construction and Architectural Management, 31(07), 2740-69.
Khan, S, Panuwatwanich, K and Usanavasin, S (2024) Integrating building information modeling with augmented reality: application and empirical assessment in building facility management. Engineering, Construction and Architectural Management, 31(07), 2809-28.
- Type: Journal Article
- Keywords: augmented reality; building information modeling; facility management; visualisation
- ISBN/ISSN:
- URL: https://doi.org/10.1108/ECAM-12-2021-1146
- Abstract:
Purpose: This paper presents a developed BIMxAR application, an integration of building information modeling (BIM) with augmented reality (AR) linked with real-time online database to support the building facility management work. The primary aim of this research was to develop and empirically examine the applicability of a BIM-based AR (BIMxAR) application in building facility management. Design/methodology/approach: The BIMxAR application was developed and experimented with maintenance work of a university laboratory building. The experiment consisted of a comparison of supportive maintenance tasks performed using the traditional approach and the BIMxAR approach by 38 university students. The time taken to complete each task was recorded and analyzed using statistical analyses to compare the performance between the tasks completed using each approach. Findings: The results indicated that the group using the BIMxAR application approach completed the tasks correctly in a significantly shorter time compared to that using the traditional approach. The findings supported the applicability of the developed BIMxAR application and the improvement of the building facility management tasks when using the proposed approach. Originality/value: This paper presents a methodological approach in developing a mobile application that integrates BIM with AR for facility management work, leveraging real-time information exchange through a cloud-based platform. The paper also provides empirical evidence that demonstrates how the integration between BIM and AR could be achieved and implemented to help facilitate building maintenance tasks. © 2023, Emerald Publishing Limited.
Khanapure, V U and Shastri, S S (2024) A sustainable–lean implementation methodology: a catalyst for sustainability enhancement of high-rise residential projects. Engineering, Construction and Architectural Management, 31(07), 2585-603.
Kum, Y T, Yap, J B H, Lew, Y L and Lee, W P (2024) Transforming construction health and safety management during COVID-19 pandemic using innovative technologies: PLS-SEM approach. Engineering, Construction and Architectural Management, 31(07), 2770-808.
Lad, V H, Patel, D A, Chauhan, K A and Patel, K A (2024) Prioritisation of bridge for improving its resilience using multi-criteria decision-making techniques. Engineering, Construction and Architectural Management, 31(07), 2952-76.
Li, T, Li, Z and Cai, J (2024) Antecedents and consequence of intra-organizational diffusion of prefabricated construction technology: a contingency theory perspective. Engineering, Construction and Architectural Management, 31(07), 2932-51.
Li, X, Chang, C T, Zhu, Y Y and Li, L L (2024) Key influence factors on the evacuation route selection for fire emergencies in urban underground complexes. Engineering, Construction and Architectural Management, 31(07), 2630-47.
Lin, Q, Zhang, C, Cai, H, Li, X and Xiao, H (2024) Urban night lighting evaluation system and case study: blending popular contemporary elements, cultural traditions and advanced lighting technologies. Engineering, Construction and Architectural Management, 31(07), 2916-31.
Lu, Y, Liu, J and Yu, W (2024) Social risk analysis for mega construction projects based on structural equation model and Bayesian network: a risk evolution perspective. Engineering, Construction and Architectural Management, 31(07), 2604-29.
Masood, R, Roy, K, González, V A, Lim, J B P and Nasir, A R (2024) A supply chain perspective of prefabricated housebuilding diffusion in New Zealand. Engineering, Construction and Architectural Management, 31(07), 2697-720.
Tennakoon, G A, Rameezdeen, R and Chileshe, N (2024) Walking the talk towards sustainable consumption: interventions to promote the uptake of reprocessed construction materials. Engineering, Construction and Architectural Management, 31(07), 2878-99.
Wang, Z, Shi, L and Cui, H (2024) Effects of the host-country institutional environment on the operation mode change of international construction enterprises. Engineering, Construction and Architectural Management, 31(07), 2721-39.
Xie, L L, Chen, Y, Wu, S, Chang, R D and Han, Y (2024) Knowledge extraction for solving resource-constrained project scheduling problem through decision tree. Engineering, Construction and Architectural Management, 31(07), 2852-77.
Zhou, X, Wang, Y, Zhang, Y and Liu, F (2024) Macro investigation on China's engineering insurance industry: based on industrial organization theories. Engineering, Construction and Architectural Management, 31(07), 2977-94.