Scientometric analysis of research on “remotely piloted aircraft”

Remotely piloted aircraft (RPA) systems have emerged as an established tool within the construction industry. Concurrent with this trend has been the rise in research on RPA, establishing this as a new field of study within the construction management domain. What is needed now is an assessment of the current state of research in this emerging discipline – its strengths and weaknesses – by which future research on RPA in construction may be guided. The purpose of this paper is to address this need.,A total of 59 peer-reviewed journal articles covering RPAs within the construction domain were systematically reviewed using a mixed-methods approach, utilizing qualitative-scientometric analyses techniques.,The results reveal a field of study in its fledgling stage, with a limited number of experts operating somewhat in isolation, from a limited number of institutions. Key publication outlets are identified, with the main focus of research being in the technical areas of remote sensing, photogrammetry and image processing.,The study benefits researchers and industry practitioners alike. For researchers, the identified gaps reveal areas of high priority in future research. For construction companies, particularly small to medium-sized businesses, the study raises awareness of the latest developments and potential applicability of RPAs in the industry.,The study exposes what is missing from current research: a broader consideration of organizational adjustments needed to accommodate RPA usage, economic analyses and impediments to wider acceptance.

[1]  Fereidoon Moghadas Nejad,et al.  Rahbin: A quadcopter unmanned aerial vehicle based on a systematic image processing approach toward an automated asphalt pavement inspection , 2016 .

[2]  Pei-Chun Lee,et al.  Mapping knowledge structure by keyword co-occurrence: a first look at journal papers in Technology Foresight , 2010, Scientometrics.

[3]  Yvonne Rogers,et al.  Citation counting, citation ranking, and h-index of human-computer interaction researchers: A comparison of Scopus and Web of Science , 2008, J. Assoc. Inf. Sci. Technol..

[4]  I. Colomina,et al.  Unmanned aerial systems for photogrammetry and remote sensing: A review , 2014 .

[5]  John Skvoretz,et al.  Node centrality in weighted networks: Generalizing degree and shortest paths , 2010, Soc. Networks.

[6]  Mehmet Yalcinkaya,et al.  Patterns and trends in Building Information Modeling (BIM) research: A Latent Semantic Analysis , 2015 .

[7]  Sepehr Abrishami,et al.  Barriers to adoption of RPAs on construction projects: a task–technology fit perspective , 2019, Construction Innovation.

[8]  Youssef M A Hashash,et al.  Novel Technologies for Deep-Excavation Digital Construction Records , 2016 .

[9]  T. Landes,et al.  Quality Assessment Of Geometric Façade Models Reconstructed From TLS Data , 2012 .

[10]  Mohsen Guizani,et al.  Unmanned Aerial Vehicles (UAVs): A Survey on Civil Applications and Key Research Challenges , 2018, IEEE Access.

[11]  Linda Butler,et al.  Extending citation analysis to non-source items , 2006, Scientometrics.

[12]  E. Zavadskas,et al.  Critical evaluation of off-site construction research: a scientometric analysis , 2018 .

[13]  Brenda McCabe,et al.  Automated computer vision-based detection of components of under-construction indoor partitions , 2017 .

[14]  George Cho,et al.  Pilotless Aerial Vehicle Systems: Size, scale and functions , 2013 .

[15]  J. Tanner,et al.  Surveying the Cites: A Ranking of Marketing Journals Using Citation Analysis , 2004 .

[16]  Roger Clarke,et al.  Understanding the drone epidemic , 2014, Comput. Law Secur. Rev..

[17]  Masoud Gheisari,et al.  Unmanned aerial system applications in construction: a systematic review , 2018, Construction Innovation.

[18]  Carlos Eduardo Pereira,et al.  Embedded Image Processing Systems for Automatic Recognition of Cracks using UAVs , 2015 .

[19]  Diofantos G. Hadjimitsis,et al.  The combined use of Building Information Modelling (BIM) and Unmanned Aerial Vehicle (UAV) technologies for the 3D illustration of the progress of works in infrastructure construction projects , 2016, International Conference on Remote Sensing and Geoinformation of Environment.

[20]  Lovorka Librić,et al.  Primjena bespilotnih letjelica na prometnoj infrastrukturnoj mreži , 2016 .

[21]  Bryan T. Adey,et al.  Use of Unmanned Aerial Vehicle Photogrammetry to Obtain Topographical Information to Improve Bridge Risk Assessment , 2018 .

[22]  Shang Gao,et al.  A holistic review of off-site construction literature published between 2008 and 2018 , 2018, Journal of Cleaner Production.

[23]  Chunsun Zhang,et al.  An Unmanned Aerial Vehicle‐Based Imaging System for 3D Measurement of Unpaved Road Surface Distresses 1 , 2012, Comput. Aided Civ. Infrastructure Eng..

[24]  Mani Golparvar-Fard,et al.  Visual monitoring of civil infrastructure systems via camera-equipped Unmanned Aerial Vehicles (UAVs): a review of related works , 2016 .

[25]  Abbas Elmualim,et al.  Factors affecting construction productivity: a 30 year systematic review , 2018, Engineering, Construction and Architectural Management.

[26]  Mani Golparvar-Fard,et al.  Potential of big visual data and building information modeling for construction performance analytics: An exploratory study , 2017 .

[27]  Bharadwaj Rao,et al.  The societal impact of commercial drones , 2016 .

[28]  David K. H. Chua,et al.  Potential Applications of UAV along the Construction's Value Chain , 2017 .

[29]  Richard J. Dobson,et al.  Collecting Decision Support System Data through Remote Sensing of Unpaved Roads , 2014 .

[30]  Leonhard E. Bernold,et al.  An investigation of modern building equipment technology adoption in the Australian construction industry , 2018, Engineering, Construction and Architectural Management.

[31]  Meng-Han Tsai,et al.  A review of rotorcraft Unmanned Aerial Vehicle (UAV) developments and applications in civil engineering , 2014 .

[32]  W. John Wilbur,et al.  Thematic clustering of text documents using an EM-based approach , 2012, J. Biomed. Semant..

[33]  Emmanuel P. Baltsavias,et al.  A comparison between photogrammetry and laser scanning , 1999 .

[34]  Ruoyu Jin,et al.  A science mapping approach based review of construction safety research , 2019, Safety Science.

[35]  Guido Morgenthal,et al.  Quality Assessment of Unmanned Aerial Vehicle (UAV) Based Visual Inspection of Structures , 2014 .

[36]  Ludo Waltman,et al.  Visualizing Bibliometric Networks , 2014 .

[37]  Tarek Hamel,et al.  A UAV for bridge inspection: Visual servoing control law with orientation limits , 2007 .

[38]  Linda V. Knight,et al.  Selecting an Appropriate Publication Outlet: A Comprehensive Model of Journal Selection Criteria for Researchers in a Broad Range of Academic Disciplines , 2008 .

[39]  Antonio Grilo,et al.  Bibliometric analysis and review of Building Information Modelling literature published between 2005 and 2015 , 2017 .

[40]  Nicola A Mahon,et al.  A bibliometric analysis of the 50 most cited papers in cleft lip and palate , 2015, Journal of plastic surgery and hand surgery.

[41]  Dayana Bastos Costa,et al.  Exploratory study of using unmanned aerial system imagery for construction site 3D mapping , 2018 .

[42]  Francisco Herrera,et al.  Science mapping software tools: Review, analysis, and cooperative study among tools , 2011, J. Assoc. Inf. Sci. Technol..

[43]  Zeeshan Aziz,et al.  Visual management in highways construction and maintenance in England , 2017 .

[44]  Ivan Bartoli,et al.  Use of Unmanned Aerial Vehicle for Quantitative Infrastructure Evaluation , 2015 .

[45]  Pedro Arias,et al.  Low-cost aerial unit for outdoor inspection of building façades , 2013 .

[46]  Nicholas Chileshe,et al.  Adopting global virtual engineering teams in AEC projects : a qualitative meta-analysis of innovation diffusion studies , 2015 .

[47]  Ludo Waltman,et al.  Software survey: VOSviewer, a computer program for bibliometric mapping , 2009, Scientometrics.

[48]  Ying Ding,et al.  Scientific collaboration and endorsement: Network analysis of coauthorship and citation networks , 2011, J. Informetrics.

[49]  Jun Gong,et al.  The Earthquake Damage Remote Sensing Automatic Recgnition Based on Texture of Roof Tiles , 2014 .

[50]  Amit Bhattacharyya Differential Voltage Current Conveyor Based One-Shot Pulse Generator Circuit Implementation , 2016 .

[51]  Ivan Bartoli,et al.  Bridge related damage quantification using unmanned aerial vehicle imagery , 2016 .

[52]  Irene Casas,et al.  An Automated Network Generation Procedure for Routing of Unmanned Aerial Vehicles (UAVs) in a GIS Environment , 2007 .

[53]  William Greenwood,et al.  Applications of UAVs in Civil Infrastructure , 2019, Journal of Infrastructure Systems.

[54]  Fernando Caballero,et al.  Assembly planning for the construction of structures with multiple UAS equipped with robotic arms , 2015, 2015 International Conference on Unmanned Aircraft Systems (ICUAS).

[55]  Behzad Esmaeili,et al.  Applications and requirements of unmanned aerial systems (UASs) for construction safety , 2019, Safety Science.

[56]  Jochen Teizer,et al.  Mobile 3D mapping for surveying earthwork projects using an Unmanned Aerial Vehicle (UAV) system , 2014 .

[57]  Pedro Arias,et al.  Measuring building façades with a low-cost close-range photogrammetry system , 2010 .

[58]  Andreas Gaich,et al.  3D images for data collection in tunnelling – applications and latest developments / 3D‐Bilder für die Datenerfassung im Tunnelbau – Anwendung und aktuelle Entwicklungen , 2015 .

[59]  Dayana Bastos Costa,et al.  Applicability of unmanned aerial system (UAS) for safety inspection on construction sites , 2017 .

[60]  Luís Pádua,et al.  UAS, sensors, and data processing in agroforestry: a review towards practical applications , 2017 .

[61]  Javier Irizarry,et al.  Exploratory Study of Potential Applications of Unmanned Aerial Systems for Construction Management Tasks , 2016 .

[62]  Fabio Gramazio,et al.  Aerial Robotic Construction towards a New Field of Architectural Research , 2012 .

[63]  Raja Sengupta,et al.  Vision-Based Monitoring of Locally Linear Structures Using an Unmanned Aerial Vehicle , 2008 .