AIoT-powered drones in the Construction Industry: A Review

Article

Sajid, Z.W., Ullah, F., Qayyum, S., Masood, R., Inam (Student), H. and Maqsoom, A.. 2025. "AIoT-powered drones in the Construction Industry: A Review." Drone Systems and Applications. https://doi.org/10.1139/dsa-2025-0001
Article Title

AIoT-powered drones in the Construction Industry: A Review

ERA Journal ID212295
Article CategoryArticle
AuthorsSajid, Z.W., Ullah, F., Qayyum, S., Masood, R., Inam (Student), H. and Maqsoom, A.
EditorsChabot, D.
Journal TitleDrone Systems and Applications
Article Numberdsa-2025-0001
Number of Pages31
Year2025
PublisherCanadian Science Publishing
Place of PublicationCanada
ISSN2291-3467
2564-4939
Digital Object Identifier (DOI)https://doi.org/10.1139/dsa-2025-0001
Web Address (URL)https://cdnsciencepub.com/doi/10.1139/dsa-2025-0001
Abstract

Nexus of technologies leads to a digital revolution to reshape the construction industry, such as artificial intelligence of things (AIoT), but the leverage through integration with drones is still unexplored. The study conducts a systematic literature review of relevant literature retrieved from the Scopus and Web of Science repositories to uncover the applications of AIoT-enabled drones in the construction industry. Preferred reporting items for systematic and meta-analyses protocols were applied to conduct a review of 182 retrieved articles. The publication trend peaked in 2023, with dips in 2020 and 2024. IEEE journal supersedes other publishers. Most research was conducted in India, followed by the USA and China. The most recurring keywords for this review were ‘Internet of Things’ and ‘Artificial Intelligence,’ based on the Scopus database. Keyword co-occurrence revealed four knowledge clusters. Seven areas of application are identified for AIoT-powered drones in the construction sector. A detailed discourse is conducted on the findings to unveil their implications for theory and practice. Challenges to adopting AIoT-powered drones are explored, and future directions for research and industry are delineated. The study aims to accelerate the adoption of AIoT technology in the construction industry. Researchers, academics, and industry practitioners are the target of this study as it seeks to expedite the adoption of AIoT in the construction industry, owing to its promising implications.

KeywordsArtificial Intelligence; Artificial Intelligence of Things; Construction; Drones; Internet of Things; Literature Review
Article Publishing Charge (APC) Amount Paid1000.0
Article Publishing Charge (APC) FundingResearcher
Contains Sensitive ContentDoes not contain sensitive content
ANZSRC Field of Research 2020330201. Automation and technology in building and construction
Byline AffiliationsNational University of Sciences and Technology, Pakistan
School of Surveying and Built Environment
Bond University
Otago Polytechnic, New Zealand
Mohammed VI Polytechnic University, Morocco
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Ullah, Fahim. 2021. "A beginner’s guide to developing review-based conceptual frameworks in the built environment." Architecture. 1 (1), pp. 5-24. https://doi.org/10.3390/architecture1010003
BIMp-chart — a global decision support system for measuring BIM implementation level in construction organizations
Malik, Qurratulain, Nasir, Abdur Rehman, Muhammad, Rabiah, Thaheem, Muhammad Jamaluddin, Ullah, Fahim, Khan, Khurram Iqbal Ahmad and Hassan, Muhammad Usman. 2021. "BIMp-chart — a global decision support system for measuring BIM implementation level in construction organizations." Sustainability. 13 (16), pp. 1-25. https://doi.org/10.3390/su13169270
Urban overheating assessment through prediction of surface temperatures: a case study of Karachi, Pakistan
Aslam, Bilal, Maqsoom, Ahsen, Khalid, Nauman, Ullah, Fahim and Sepasgozar, Samad. 2021. "Urban overheating assessment through prediction of surface temperatures: a case study of Karachi, Pakistan." ISPRS International Journal of Geo-Information. 10 (8), pp. 1-22. https://doi.org/10.3390/ijgi10080539
UAVs in disaster management: application of integrated aerial Imagery and convolutional neural network for flood detection
Munawar, Hafiz Suliman, Ullah, Fahim, Qayyum, Siddra, Khan, Sara Imran and Mojtahedi, Mohammad. 2021. "UAVs in disaster management: application of integrated aerial Imagery and convolutional neural network for flood detection." Sustainability. 13 (14), pp. 1-22. https://doi.org/10.3390/su13147547
A conceptual framework for blockchain smart contract adoption to manage real estate deals in smart cities
Ullah, Fahim and Al-Turjman, Fadi. 2023. "A conceptual framework for blockchain smart contract adoption to manage real estate deals in smart cities." Neural Computing and Applications. 35 (7), p. 5033–5054. https://doi.org/10.1007/s00521-021-05800-6
Investigating the flood damages in Lower Indus Basin since 2000: spatiotemporal analyses of the major flood events
Atif, Salman, Umar, Muhammad and Ullah, Fahim. 2021. "Investigating the flood damages in Lower Indus Basin since 2000: spatiotemporal analyses of the major flood events." Natural Hazards. 108, pp. 2357-2383. https://doi.org/10.1007/s11069-021-04783-w
Risk management in sustainable smart cities governance: a TOE framework
Ullah, Fahim, Qayyum, Siddra, Thaheem, Muhammad Jamaluddin, Al-Turjman, Fadi and Sepasgozar, Samad M.E.. 2021. "Risk management in sustainable smart cities governance: a TOE framework." Technological Forecasting and Social Change. 167. https://doi.org/10.1016/j.techfore.2021.120743
Advertising through UAVs: Optimized path system for delivering smart real‐estate advertisement materials
Ullah, Fahim, Al-Turjman, Fadi, Qayyum, Siddra, Inam, Hina and Imran, Muhammad. 2021. "Advertising through UAVs: Optimized path system for delivering smart real‐estate advertisement materials." International Journal of Intelligent Systems. 36 (7), pp. 3429-3463. https://doi.org/10.1002/int.22422
Modelling users’ perception of the online real estate platforms in a digitally disruptive environment: an integrated KANO-SISQual approach
Ullah, Fahim, Sepasgozar, Samad M.E., Shiwrozhan, Sara and Davis, Steven. 2021. "Modelling users’ perception of the online real estate platforms in a digitally disruptive environment: an integrated KANO-SISQual approach." Telematics and Informatics. 63. https://doi.org/10.1016/j.tele.2021.101660
Application of deep learning on UAV-based aerial images for flood detection
Munawar, Hafiz Suliman, Ullah, Fahim, Qayyum, Siddra and Heravi, Amirhossein. 2021. "Application of deep learning on UAV-based aerial images for flood detection." Smart Cities. 4 (3), pp. 1220-1243. https://doi.org/10.3390/smartcities4030065
Best Value Contractor Selection in Road Construction Projects: ANP-Based Decision Support System
Hasnain, Muhammad, Thaheem, Muhammad Jamaluddin and Ullah, Fahim. 2018. "Best Value Contractor Selection in Road Construction Projects: ANP-Based Decision Support System." International Journal of Civil Engineering. 16 (6), pp. 695-714. https://doi.org/10.1007/s40999-017-0199-2
Concession period of public private partnership projects: industry–academia gap analysis
Ullah, Fahim and Thaheem, Muhammad Jamaluddin. 2018. "Concession period of public private partnership projects: industry–academia gap analysis." The International Journal of Construction Management. 18 (5), pp. 418-429. https://doi.org/10.1080/15623599.2017.1333400
A systematic review of smart real estate technology: drivers of, and barriers to, the use of digital disruptive technologies and online platforms
Ullah, Fahim, Sepasgozar, Samad M.E. and Wang, Changxin. 2018. "A systematic review of smart real estate technology: drivers of, and barriers to, the use of digital disruptive technologies and online platforms." Sustainability. 10 (9), pp. 1-44. https://doi.org/10.3390/su10093142
System dynamics model to determine concession period of PPP infrastructure projects: overarching effects of critical success factors
Ullah, Fahim, Thaheem, Muhammad Jamaluddin, Sepasgozar, Samad M. E. and Forcada, Nuria. 2018. "System dynamics model to determine concession period of PPP infrastructure projects: overarching effects of critical success factors." Journal of Legal Affairs and Dispute Resolution in Engineering and Construction. 10 (4). https://doi.org/10.1061/(ASCE)LA.1943-4170.0000280
The performance gap in energy-efficient office buildings: how the occupants can help?
Ali, Qadeer, Thaheem, Muhammad Jamaluddin, Ullah, Fahim and Sepasgozar, Samad M. E.. 2020. "The performance gap in energy-efficient office buildings: how the occupants can help?" Energies. 13 (6). https://doi.org/10.3390/en13061480
Key factors influencing purchase or rent decisions in smart real estate investments: a system dynamics approach using online forum thread data
Ullah, Fahim and Sepasgozar, Samad M. E.. 2020. "Key factors influencing purchase or rent decisions in smart real estate investments: a system dynamics approach using online forum thread data." Sustainability. 12 (11), pp. 1-36. https://doi.org/10.3390/su12114382
Smart digital marketing capabilities for sustainable property development: a case of Malaysia
Low, Sheen, Ullah, Fahim, Shiwrozhan, Sara, Sepasgozar, Samad M. E. and Lee, Chyi Lin. 2020. "Smart digital marketing capabilities for sustainable property development: a case of Malaysia." Sustainability. 12 (13), pp. 1-40. https://doi.org/10.3390/su12135402
Contingency release during project execution: the contractor’s decision-making dilemma
Ayub, Bilal, Thaheem, Muhammad Jamaluddin and Ullah, Fahim. 2019. "Contingency release during project execution: the contractor’s decision-making dilemma." Project Management Journal. 50 (6), pp. 734-748. https://doi.org/10.1177/8756972819848250
Six Sigma in construction: a review of critical success factors
Qayyum Siddiqui, Siddra, Ullah, Fahim, Thaheem, Muhammad Jamaluddin and Gabriel, Hamza Farooq. 2016. "Six Sigma in construction: a review of critical success factors." International Journal of Lean Six Sigma. 7 (2), pp. 171-186. https://doi.org/10.1108/ijlss-11-2015-0045
Labor Productivity Assessment Using Activity Analysis on Semi High-Rise Building Projects in Pakistan
Sheikh, Noaman Akbar, Ullah, Fahim, Ayub, Bilal and Thaheem, Muhammad Jamaluddin. 2017. "Labor Productivity Assessment Using Activity Analysis on Semi High-Rise Building Projects in Pakistan." Engineering Journal. 21 (4), pp. 273-286. https://doi.org/10.4186/ej.2017.21.4.273
Influence of Six Sigma on project success in construction industry of Pakistan
Ullah, Fahim, Thaheem, Muhammad Jamaluddin, Qayyum Siddiqui, Siddra and Khurshid, Muhammad Bilal. 2017. "Influence of Six Sigma on project success in construction industry of Pakistan." The TQM Journal. 29 (2), pp. 276-309. https://doi.org/10.1108/TQM-11-2015-0136
Examining the impact of students’ attendance, sketching, visualization, and tutors experience on students’ performance: a case of building structures course in construction management
Ullah, Fahim, Sepasgozar, Samad, Tahmasebinia, Faham, Sepasgozar, Saleh Mohammad Ebrahimzadeh and Davis, Steven. 2020. "Examining the impact of students’ attendance, sketching, visualization, and tutors experience on students’ performance: a case of building structures course in construction management." Construction Economics and Building. 20 (3), pp. 78-102. https://doi.org/10.5130/AJCEB.v20i3.7056
Competitiveness in the construction industry: A contractor’s perspective on barriers to improving the construction industry performance
Azeem, Moazzam, Ullah, Fahim, Thaheem, Muhammad J. and Qayyum, Siddra. 2020. "Competitiveness in the construction industry: A contractor’s perspective on barriers to improving the construction industry performance." Journal of Construction Engineering, Management & Innovation. 3 (3), pp. 193-219. https://doi.org/10.31462/jcemi.2020.03193219
Empirical evidence of extension of time in construction projects
Shabbar, Haroon, Ullah, Fahim, Ayub, Bilal, Thaheem, Muhammad Jamaluddin and Gabriel, Hamza Farooq. 2017. "Empirical evidence of extension of time in construction projects." Journal of Legal Affairs and Dispute Resolution in Engineering and Construction. 9 (3). https://doi.org/10.1061/(ASCE)LA.1943-4170.0000217
It's all about perceptions: A DEMATEL approach to exploring user perceptions of real estate online platforms
Ullah, Fahim, Sepasgozar, Samad M. E., Thaheem, Muhammad Jamaluddin, Wang, Changxin Cynthia and Imran, Muhammad. 2021. "It's all about perceptions: A DEMATEL approach to exploring user perceptions of real estate online platforms." Ain Shams Engineering Journal. 12 (4), pp. 4297-4317. https://doi.org/10.1016/j.asej.2021.04.023
Addressing disasters in smart cities through UAVs path planning and 5G communications: A systematic review
Qadir, Zakria, Ullah, Fahim, Munawar, Hafiz Suliman and Al-Turjman, Fadi. 2021. "Addressing disasters in smart cities through UAVs path planning and 5G communications: A systematic review." Computer Communications. 168, pp. 114-135. https://doi.org/10.1016/j.comcom.2021.01.003
Managing smart cities through six sigma DMADICV method: A review-based conceptual framework
Qayyum, Siddra, Ullah, Fahim, Al-Turjman, Fadi and Mojtahedi, Mohammad. 2021. "Managing smart cities through six sigma DMADICV method: A review-based conceptual framework." Sustainable Cities and Society. 72, pp. 1-19. https://doi.org/10.1016/j.scs.2021.103022
A review of public-private partnership: critical factors of concession period
Ullah, Fahim, Ayub, Bilal, Qayyum, Siddra and Thaheem, Muhammad Jamaluddin. 2016. "A review of public-private partnership: critical factors of concession period." Journal of Financial Management of Property and Construction. 21 (3), pp. 269-300. https://doi.org/10.1108/JFMPC-02-2016-0011
Economic-efficiency analysis of rawalpindi bypass project: A case study
Mehmood, Yasir, Zahoor, Hafiz and Ullah, Fahim. 2019. "Economic-efficiency analysis of rawalpindi bypass project: A case study." Wu, Peng and Wang, Xiangyu (ed.) Innovative Production and Construction: Transforming Construction through Emerging Technologies. Singapore. World Scientific Publishing. pp. 531-555
Implication of a Construction Labour Tracking System for Measuring Labour Productivity
Shiwrozhan, S., Sepasgozar, S., Ullah, F. and Minhas, P.S.. 2019. "Implication of a Construction Labour Tracking System for Measuring Labour Productivity." Wu, P. and Wang, X. (ed.) Innovative Production and Construction. pp. 1-15
Investigation of the users' interaction with online real estate platforms in Australia
Ullah, F., Shinetogtokh, T., Sepasgozar, S. and Ali, T.. 2019. "Investigation of the users' interaction with online real estate platforms in Australia." 2nd International Conference on Sustainable Development in Civil Engineering (ICSDC 2019), Jamshoro Pakistan. Karachi Pakistan. https://doi.org/10.26190/unsworks/27491
Real Estate Stakeholders Technology Acceptance Model (RESTAM): User-focused Big9 Disruptive Technologies for Smart Real Estate Management
Ullah, Fahim, Sepasgozar, Samad and Ali, Tauha Hussain. 2019. "Real Estate Stakeholders Technology Acceptance Model (RESTAM): User-focused Big9 Disruptive Technologies for Smart Real Estate Management." 9th International Civil Engineering Congress (ICEC 2017). Karachi, Pakistan 22 - 23 Dec 2017 Pakistan.
Public-private Partnerships In Pakistan: A Nascent Evolution
Ullah, F., Thaheem, M. and Umar, M.. 2017. "Public-private Partnerships In Pakistan: A Nascent Evolution." Kakabadse, N. and Mouraviev, N. (ed.) Public-Private Partnerships in Transitional Nations: Policy, Governance and Praxis. United Kingdom. Cambridge Scholars Publishing. pp. 127-150
An Investigation of Real Estate Technology Utilization in Technologically Advanced Marketplace
Ullah, F., Sepasgozar, S. and Siddiqui, S.Q.. 2017. "An Investigation of Real Estate Technology Utilization in Technologically Advanced Marketplace." 9th International Civil Engineering Congress (ICEC-2017) “Striving Towards Resilient Built Environment” December 22-23, 2017, Karachi, Pakistan. Karachi Pakistan. https://doi.org/10.26190/unsworks/26543
Sustainable Smart Cities: Evaluation of Australian Practice
Ullah, F., Thaheem, M. and Sepasgozar, S.. 2016. "Sustainable Smart Cities: Evaluation of Australian Practice." Cheng, J.C., Dawood, N. and Kuang, J. (ed.) 16th International Conference on Construction Applications of Virtual Reality. Hong Kong.