USING UAV FOR THE DIGITALISATION OF PUBLIC ADMINISTRATION. A BIBLIOMETRIC ANALYSIS
DOI:
https://doi.org/10.24193/subbgeogr.2022.01Keywords:
UAV, Romania, VOSviewer, local administrationAbstract
The new European financial framework for 2021-2027 indicates digitalisation investments as a priority for the residential spaces, especially the urban ones. This is needed to increase the efficiency of the public administration and to optimize the relationships with the citizens (POR 2021-2027). In Romania, there are some recent good practice models in this regard, accelerated also by the current pandemic context. The scope of the paper consisted in highlighting the scientific production associated to the use of UAV technology in public administration by means of bibliometric analyses. Research included three stages: a). Selection of the documents in the Scopus database, b). Data extraction and visualization and c). Interpretation of bibliometric analyses conducted. The bibliometric analyses that were conducted highlighted that the interest for this topic was relatively recent (since 1988). It was strongly customized in the North-American and North-Western European research, but this type of approach is also necessary in the South-Eastern European countries.
References
Altawy, R., Youssef, A.M. (2017), Security, privacy, and safety aspects of civilian drones: A survey, ACM Transactions on Cyber-Physical Systems, 1 (2), 7.
Aurell, J., Mitchell, W., Chirayath, V., Jonsson, J., Tabor, D., Gullett, B. (2017), Field determination of multipollutant, open area combustion source emission factors with a hexacopter unmanned aerial vehicle, Atmospheric Environment, 166, 433–440, https://doi.org/10.1016/j.atmosenv.2017.07.046.
Ayhan, B., Kwan, C., Budavari, B., Larkin, J., Gribben, D. (2019), Preflight contingency planning approach for fixed wing UAVs with engine failure in the presence of winds, Sensors, 19 (2), https://doi.org/10.3390/s19020227.
Berman, E.S.F., Fladeland, M., Liem, J., Kolyer, R., Gupta, M. (2012), Greenhouse gas analyzer for measurements of carbon dioxide, methane, and water vapor aboard an unmanned aerial vehicle, Sensors and Actuators, B: Chemical, 169, 128–135, https://doi.org/10.1016/j.snb.2012.04.036.
Birdsall, A. (2018), Drone warfare in counterterrorism and normative change: US policy and the politics of international Law, Global Society, 32 (3), 241–262, https://doi.org/10.1080/13600826.2018.1456409.
Boyle, M.J. (2013), The costs and consequences of drone warfare, International Affairs, 89 (1), 1–29, https://doi.org/10.1111/1468-2346.12002.
Briones-Bitar, J., Carrión-Mero, P., Montalván-Burbano, N., Morante-Carballo, F. (2020), Rockfall Research: A Bibliometric Analysis and Future Trends, Geosciences, 10, 403, https://doi.org/10.3390/geosciences10100403.
Carvajal-Ramírez, F., Navarro-Ortega, A.D., Agüera-Vega, F., Martínez-Carricondo, P., Mancini, F. (2019), Virtual reconstruction of damaged archaeological sites based on Unmanned Aerial Vehicle Photogrammetry and 3D modelling. Study case of a south-eastern Iberia production area in the Bronze Age, Measurement: Journal of the International Measurement Confederation, 136, 225–236, https://doi.org/10.1016/j.measurement.2018.12.092.
Casiano Flores, C., Tan, E., Buntinx, I., Crompvoets, J., Stöcker, C., Zevenbergen, J. (2020), Governance assessment of the UAVs implementation in Rwanda under the fit-for-purpose land administration approach, Land Use Policy, 99.
Chávez, J.L., Torres-Rua, A.F., Woldt, W.E., Zhang, H., Robertson, C., Marek, G.W., Wang, D., Heeren, D.M., Taghvaeian, S., Neale, C.M.U. (2020), A decade of unmanned aerial systems in irrigated agriculture in the Western U.S., Applied Computational Electromagnetics Society Journal, 36 (4), 423–436, https://doi.org/10.13031/aea.13941
Congress, S.S.C., Puppala, A.J., Banerjee, A., Patil, U.D. (2020), Identifying hazardous obstructions within an intersection using unmanned aerial data analysis, International Journal of Transportation Science and Technology, https://doi.org/10.1016/j.ijtst.2020.05.004.
Crommelinck, S., Bennett, R., Gerke, M., Yang, M.Y., Vosselman, G. (2017), Contour detection for UAV-based cadastral mapping, Remote Sensing, 9 (2), https://doi.org/10.3390/rs9020171.
Dalamagkidis, K., Valavanis, K.P., Piegl, L.A. (2008), Current status and future perspectives for unmanned aircraft system operations in the US, Journal of Intelligent and Robotic Systems: Theory and Applications, 52 (2), 313–329, https://doi.org/10.1007/s10846-008-9213-x.
De, D., Sahu, P.K. (2018), A survey on current and next generation aircraft collision avoidance system, International Journal of Systems, Control and Communications, 9 (4), 306–337, https://doi.org/10.1504/IJSCC.2018.095266.
Dorafshan, S., Maguire, M. (2018), Bridge inspection: human performance, unmanned aerial systems and automation, Journal of Civil Structural Health Monitoring, 8 (3), 443–476, https://doi.org/10.1007/s13349-018-0285-4.
Dorafshan, S., Thomas, R.J., Maguire, M. (2018), Fatigue Crack Detection Using Unmanned Aerial Systems in Fracture Critical Inspection of Steel Bridges, Journal of Bridge Engineering, 23 (10), https://doi.org/10.1061/(ASCE)BE.1943-5592.0001291.
Eck, N.J., Waltman, L. (2017), Citation-based clustering of publications using CitNetExplorer and VOSviewer, Scientometrics, 111, 1053–1070, https://doi.org/10.1007/s11192-017-2300-7.
European Commission (2020), Digital Economy and Society Index (DESI) 2020. Romania.
Fouda, R.M. (2018), Feature article: Security vulnerabilities of cyberphysical unmanned aircraft systems, IEEE Aerospace and Electronic Systems Magazine, 33 (9), 4–17, https://doi.org/10.1109/MAES.2018.170021.
Ghubaish, A., Salman, T., Jain, R. (2019), Experiments with a LoRaWAN-Based Remote ID System for Locating Unmanned Aerial Vehicles (UAVs), Wireless Communications and Mobile Computing, https://doi.org/10.1155/2019/9060121.
Greene, J.D., Roberts, W. (2018), From GIS to UAVs: Emerging Opportunities for Drone Support Services in Academic Libraries, Public Services Quarterly, 14 (3), 255–264, https://doi.org/10.1080/15228959.2018.1488645.
Herrera-Franco, G., Montalván-Burbano, N., Carrión-Mero, P., Apolo-Masache, B., Jaya-Montalvo, M. (2020), Research Trends in Geotourism: A Bibliometric Analysis Using the Scopus Database, Geosciences, 10 (379), 1–30, https://doi.org/10.3390/geosciences10100379.
Inzerillo, L., Di, Mino G., Roberts, R. (2018), Image-based 3D reconstruction using traditional and UAV datasets for analysis of road pavement distress, Automation in Construction, 96, 457–469, https://doi.org/10.1016/j.autcon.2018.10.010.
Julge, K., Ellmann, A., Köök, R. (2019), Unmanned aerial vehicle surveying for monitoring road construction earthworks, Baltic Journal of Road and Bridge Engineering, 14 (1), 1–17, https://doi.org/10.7250/bjrbe.2019-14.430.
Koeva, M., Stöcker, C., Crommelinck, S., Ho, S., Chipofya, M., Sahib, J., Bennet, R., Zevenbergen, J., Vosselman, G., Lemmen, C., Crompvoets, J., Buntinx, I., Wayumba, G., Wayumba, R., Odwe, P.O., Osewe, G.T., Chika, B., Pattyn, V. (2020), Innovative remote sensing methodologies for Kenyan land tenure mapping, Remote Sensing, 12 (2), https://doi.org/10.3390/rs12020273.
Lin, C.E., Shao, P.-C., Lin, Y.-Y. (2020), System operation of regional UTM in Taiwan, Aerospace, 7(5), https://doi.org/10.3390/AEROSPACE7050065.
Liu, Z., Foina, A.G. (2016), An autonomous quadrotor avoiding a helicopter in low-altitude flights, IEEE Aerospace and Electronic Systems Magazine, 31 (9), 30–39, https://doi.org/10.1109/MAES.2016.150131.
Lopez, R. (2007), FAA eyes safer UAV operation, Jane's Airport Review.
Mahjri, I., Dhraief, A., Belghith, A., Gannouni, S., Mabrouki, I., Al Ajlan, M. (2018), Collision risk assessment in Flying Ad Hoc aerial wireless networks, Journal of Network and Computer Applications, 124, 1–13, https://doi.org/10.1016/j.jnca.2018.09.010.
McCormack, E., Vaa, T. (2019), Testing Unmanned Aircraft for Roadside Snow Avalanche Monitoring, Transportation Research Record, 2673 (2), 94–103, https://doi.org/10.1177/0361198119827935.
Newcome, L.R. (2009), Unmanned aviation traffic forecast, Aeronautical Journal, 113 (1145), 459–466, https://doi.org/10.1017/S0001924000003122.
Outay, F., Mengash, H.A., Adna, M. (2020), Applications of unmanned aerial vehicle (UAV) in road safety, traffic and highway infrastructure management: Recent advances and challenges, Transportation Research Part A: Policy and Practice, 141, 116–129.
Padró, J.-C., Carabassa, V., Balagué, J., Brotons, L., Alcañiz, J.M., Pons, X. (2019), Monitoring opencast mine restorations using Unmanned Aerial System (UAS) imagery, Science of the Total Environment, 657, 1602–1614, https://doi.org/10.1016/j.scitotenv.2018.12.156.
Papa, U., Iannace, G., Del Core, G., Giordano, G. (2017), Sound power level and sound pressure level characterization of a small unmanned aircraft system during flight operations, Noise and Vibration Worldwide, 48 (5-6), 67–74, https://doi.org/10.1177/0957456517715344.
Privé, N.C., Xie, Y., Koch, S., Atlas, R., Majumdar, S.J., Hoffman, R.N. (2014), An observing system simulation experiment for the unmanned aircraft system data impact on tropical cyclone track forecasts, Monthly Weather Review, 142 (11), 4357–4363, https://doi.org/10.1175/MWRD-14-00197.1.
Rango, A., Laliberte, A. (2010), Impact of flight regulations on effective use of unmanned aircraft systems for natural resources Applications, Journal of Applied Remote Sensing, 4 (1), https://doi.org/10.1117/1.3474649.
Rani, C., Modares, H., Sriram, R., Mikulsk, D., Lewis, F.L. (2016), Security of unmanned aerial vehicle systems against cyber-physical attacks, Journal of Defense Modeling and Simulation, 13 (3), 331–342, https://doi.org/10.1177/1548512915617252.
Reitz, B.C., Crouse, Jr. G.L. (2013), Unmanned aircraft collaboration for traffic deconfliction in the national airspace system, Journal of Aerospace Information Systems, 10 (1), 2–20, https://doi.org/10.2514/1.51496.
Río-Rama, M., Maldonado-Erazo, C.P., Álvarez-García, J., Durán-Sánchez, A. (2020), Cultural and Natural Resources in Tourism Island: Bibliometric Mapping, Sustainability, 12, 724, https://doi.org/10.3390/su12020724.
Romanian Government (2020), Government Decision no. 89/2020 on the organisation and functioning of the Authority for the Digitalisation of Romania, Official Gazette no. 113 of 13 February 2020.
Sarghini, F., De Vivo, A. (2017), Analysis of preliminary design requirements of a heavy lift multirotor drone for agricultural use, Chemical Engineering Transactions, 58, 625–630.
Sharma, V., Chen, H.-C., Kumar, R. (2017), Driver behaviour detection and vehicle rating using multi-UAV coordinated vehicular networks, Journal of Computer and System Sciences, 86, 3–32, https://doi.org/10.1016/j.jcss.2016.10.003.
Shi, Y., Alex, Thomasson J., Murray, S.C., Ace, Pugh N., Rooney, W.L., Shafian, S., Rajan, N., Rouze, G., Morgan, C.L.S., Neely, H.L., Rana, A., Bagavathiannan, M.V., Henrickson, J., Bowden, E., Valasek, J., Olsenholler, J., Bishop, M.P., Sheridan, R., Putman, E.B., Popescu, S., Burks, T., Cope, D., Ibrahim, A., McCutchen, B.F., Baltensperger, D.D., Avant, R.V., Vidrine, M., Yang, C. (2016), Unmanned aerial vehicles for high-throughput phenotyping and agronomic research, PLoS ONE, 11 (7), e0159781, https://doi.org/10.1371/journal.pone.0159781.
Skoglar, P., Orguner, U., Ornqvist, D.T., Gustafsson, F. (2012), Road Target Search and Tracking with Gimballed Vision Sensor on an Unmanned Aerial Vehicle, Remote Sensing, 4 (7), 2076–2111, https://doi.org/10.3390/rs4072076.
Stöcker, C., Ho, S., Nkerabigwi, P., Schmidt, C., Koeva, M., Bennett, R., Zevenbergen, J. (2019), Unmanned Aerial System imagery, land data and user needs: A socio-technical assessment in Rwanda, Remote Sensing, 11 (9), https://doi.org/10.3390/rs11091035.
Thomas, R.M., Lehmann, K., Nguyen, H., Jackson, D.L., Wolfe, D., Ramanathan, V. (2012), Measurement of turbulent water vapor fluxes using a lightweight unmanned aerial vehicle system, Atmospheric Measurement Techniques, 5 (1), 243–257, https://doi.org/10.5194/amt-5-243-2012.
Vu, K.-P.L., Rorie, R.C., Fern, L., Shively, R.J. (2020), Human Factors Contributions to the Development of Standards for Displays of Unmanned Aircraft Systems in Support of Detect-and-Avoid, Human Factors, 62 (4), 505–515, https://doi.org/10.1177/0018720820916326.
Wick, G.A., Hock, T.F., Neiman, P.J., Vömel, H., Black, M.L., Spackman, J.R. (2018), The NCAR-NOAA Global Hawk dropsonde system, Journal of Atmospheric and Oceanic Technology, 35 (8), 1585–1604, https://doi.org/10.1175/JTECH-D-17-0225.1.
Woo, G.S., Truong, D., Choi, W. (2020), Visual Detection of Small Unmanned Aircraft System: Modelling the Limits of Human Pilots, Journal of Intelligent and Robotic Systems: Theory and Applications, 99 (3-4), 933–947, https://doi.org/10.1007/s10846-020-01152-w.
Xia, X., Persello, C., Koeva, M. (2019), Deep fully convolutional networks for cadastral boundary detection from UAV images, Remote Sensing, 11 (14), https://doi.org/10.3390/rs11141725.
Xie, J. (2020), Innovation and practice of key technologies for the efficient development of the supergiant Anyue Gas Field, Natural Gas Industry B, 7(4), 337–347, https://doi.org/10.1016/j.ngib.2020.01.004.
Xu, C., Liao, X., Ye, H., Yue, H. (2020), Iterative construction of low-altitude UAV air route network in urban areas: Case planning and Assessment, Journal of Geographical Sciences, 30 (9), 1534–1552, https://doi.org/10.1007/s11442-020-1798-4.
Yoon, H., Shin, J., Spencer, B.F. (2018), Structural Displacement Measurement Using an Unmanned Aerial System, Computer-Aided Civil and Infrastructure Engineering, 33 (3), 183–192, https://doi.org/10.1111/mice.12338.
Zhang, S., Lippitt, C.D., Bogus, S.M., Neville, P.R.H. (2019), Characterizing pavement surface distress conditions with hyper-spatial resolution natural color aerial photography, Remote Sensing, 8 (5), https://doi.org/10.3390/rs8050392.
Zhang, Y., Thenkabail, P.S., Wang, P. (2018), A bibliometric profile of the Remote Sensing Open Access Journal published by MDPI between 2009 and 2018, Remote Sensing, 11 (1), https://doi.org/10.3390/rs11010091.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2022 Studia Universitatis Babeș-Bolyai Geographia
![Creative Commons License](http://i.creativecommons.org/l/by-nc-nd/4.0/88x31.png)
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.