UAV Application for Typhoon Damage Assessment in Construction Sites
Source abstract
Abstract
The safety inspection capability of construction sites before typhoons could be improved using a UAV, which has a rapid identification capability. However, the main safety inspection items need construction experience and technical safety specifications. This study aimed to obtain the influencing factors of typhoon and their weight proportion through the knowledge of disaster theory and the analytic hierarchy process (AHP). The effectiveness of this method was verified by collecting and analyzing the field data at the construction site. A set of construction site early warning flows and disaster prevention and mitigation measures for typhoons are proposed. The results show that UAVs can be used as a tool in this scenario, helping to improve disaster prevention and enhancing the capability of construction site management to evaluate typhoon risk. The research provides a much-needed common ground for collecting and analyzing advances in UAVs and immersive technologies, as well as their influence on building projects. Furthermore, this article provides a new horizon for beginner researchers working on digitalized construction research.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Flood Risk Assessment and Management · Infrastructure Resilience and Vulnerability Analysis · Disaster Management and Resilience
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
College of Civil Engineering, Huaqiao University, Xiamen 361021, China
Department of Quantity Surveying, Faculty of Built Environment & Surveying, Universiti Teknologi Malaysia, Skudai 81310, Malaysia
Funding
Fujian Province Science and Technology Department of China · Quanzhou Tongjiang Scholar Special Fund · Huaqiao University · Universiti Teknologi Malaysia (UTM)
References (52)
Show source-provided references
1. Evolution of studies in construction productivity: A systematic literature review (2006–2017)10.1016/j.asej.2018.10.010 ↗
2. Disaster-mitigating and general innovative responses to climate disasters: Evidence from modern and historical China10.1016/j.ijdrr.2018.01.022 ↗
3. Review on the Research Status of Power System Risk Identification under Typhoon Disaster10.1016/j.procs.2019.08.114 ↗
4. Connecting theories of cascading disasters and disaster diplomacy10.1016/j.ijdrr.2018.01.024 ↗
5. Potential applications of UAV along the construction’s value chain10.1016/j.proeng.2017.03.155 ↗
6. Natural disasters10.1016/j.ccc.2019.05.001 ↗
7. Emergency decision making for natural disasters: An overview10.1016/j.ijdrr.2017.09.037 ↗
8. The Relationship between Natural Disaster and Economic Development: A Panel Data Analysis10.1016/j.proeng.2018.01.138 ↗
9. Natural disasters, social protection, and risk perceptions10.1016/j.worlddev.2017.12.002 ↗
10. Korean civil engineers: Handling of natural disaster management and its implication10.1111/wej.12287 ↗
11. Study on typhoon disaster loss and risk prediction and benefit assessment of disaster prevention and mitigation
12. Fine-scale perspectives on landscape phenology from unmanned aerial vehicle (UAV) photography10.1016/j.agrformet.2017.10.015 ↗
13. A proposed framework of key activities and processes in the preparedness and recovery phases of disaster management10.1111/disa.12268 ↗
14. Image-based post-disaster inspection of reinforced concrete bridge systems using deep learning with Bayesian optimization10.1111/mice.12425 ↗
15. A Real Options-Based Decision-Making Model for Infrastructure Investment to Prevent Rainstorm Disasters10.1111/poms.13074 ↗
16. Impact of social preparedness on flood early warning systems10.1002/2016WR019387 ↗
17. An efficient fuzzy weighted average algorithm for the military UAV selecting under group decision-making10.1016/j.knosys.2011.04.002 ↗
18. The uses of unmanned aerial vehicles -UAV’s- (or drones) in social logistic: Natural disasters response and humanitarian relief aid10.1016/j.procs.2019.01.151 ↗
19. Saving species, time and money: Application of unmanned aerial vehicles (UAVs) for monitoring of an endangered alpine river specialist in a small nature reserve10.1016/j.biocon.2019.02.037 ↗
20. Wireless sensor networks and multi-UAV systems for natural disaster management10.1016/j.comnet.2017.05.021 ↗
21. Challenges in integrating disaster risk reduction into the built environment–The Vietnam context10.1016/j.proeng.2018.01.041 ↗
22. Risk response for urban water supply network using case-based reasoning during a natural disaster10.1016/j.ssci.2018.03.003 ↗
23. Access for adaptation? Reviewing the linkages between energy, disasters, and development in India10.1016/j.erss.2019.01.025 ↗
24. Squaring the circle? Integrating environment, infrastructure and risk reduction in Post Disaster Needs Assessments10.1016/j.ijdrr.2018.05.016 ↗
25. Conceptual weather environmental forecasting system for identifying potential failure of under-construction structures during typhoons10.1016/j.jweia.2017.05.010 ↗
26. Vulnerability of Vietnam to typhoons: A spatial assessment based on hazards, exposure and adaptive capacity10.1016/j.scitotenv.2019.04.069 ↗
27. How do project management competencies change within the project management career model in large Chinese construction companies?10.1016/j.ijproman.2018.12.002 ↗
28. Analysis and assessment of the risk of snow and freezing disaster in China10.1016/j.ijdrr.2016.09.007 ↗
29. Identification and estimation of landslide-debris flow disaster risk in primary and middle school campuses in a mountainous area of Southwest China10.1016/j.ijdrr.2017.07.012 ↗
30. Exploring the plexus of context and consequences: An empirical test of a theory of disaster vulnerability10.1016/j.ijdrr.2015.04.002 ↗
31. Wide-area Disaster Prevention of Storm or Flood Damage and its Improvement by Using Urban Planning Information System10.1016/j.sbspro.2015.12.065 ↗
32. A localized disaster-resilience index to assess coastal communities based on an analytic hierarchy process (AHP)10.1016/j.ijdrr.2012.11.006 ↗
33. Linking tourism into emergency management structures to enhance disaster risk reduction10.1016/j.tourman.2012.11.006 ↗
34. Approach to Fire-related Disaster Management in High Density Urban-area10.1016/j.proeng.2014.07.007 ↗
35. Making the construction industry resilient to extreme weather: Lessons from construction in hot weather conditions10.1016/S2212-5671(14)00985-X ↗
36. A risk assessment approach for enhancing construction safety performance10.1016/j.ssci.2019.08.044 ↗
37. BP Neural Network for Typhoon Warning and Prevention for Historical Buildings10.1007/s13369-021-06457-y ↗
38. Field measurements of wind effects on a low-rise building with roof overhang during typhoons10.1016/j.jweia.2018.03.015 ↗
39. Observations of typhoon effects on a high-rise building and verification of wind tunnel predictions10.1016/j.jweia.2018.11.026 ↗
40. Seepage safety monitoring model for an earth rock dam under influence of high-impact typhoons based on particle swarm optimization algorithm10.1016/j.wse.2017.03.005 ↗
41. Risk assessment influencing factors for Arabian construction projects using analytic hierarchy process10.1016/j.aej.2018.10.018 ↗
42. The application of information diffusion technique in probabilistic analysis to grassland biological disasters risk10.1016/j.ecolmodel.2013.10.014 ↗
43. Conceptual Model on Regional Natural Disaster Risk Assessment10.1016/j.proeng.2012.08.127 ↗
44. A web-based GIS platform for the safe management and risk assessment of complex structural and infrastructural systems exposed to wind10.1016/j.advengsoft.2017.03.002 ↗
45. Development of a safety performance index assessment tool by using a fuzzy structural equation model for construction sites10.1016/j.autcon.2017.10.012 ↗
46. Analysis of the impact of health and safety coordinator on construction site accidents: The case of Spain10.1016/j.jsr.2018.12.012 ↗
47. UAV-based automatic generation of high-resolution panorama at a construction site with a focus on preprocessing for image stitching10.1016/j.autcon.2017.08.031 ↗
48. Applicability of unmanned aerial system (UAS) for safety inspection on construction sites10.1016/j.ssci.2017.06.008 ↗
49. Analysis of influence factors of disaster prevention capacity in urban green space based on analytic hierarchy process10.1016/j.egypro.2018.10.076 ↗
50. Adaptive governance to typhoon disasters for coastal sustainability: A case study in Guangdong, China10.1016/j.envsci.2015.07.016 ↗
51. A modified analytical hierarchy process (M-AHP) approach for decision support systems in natural hazard assessments10.1016/j.cageo.2013.05.010 ↗
52. A method for using unmanned aerial vehicles for emergency investigation of single geo-hazards and sample applications of this method10.5194/nhess-17-1961-2017 ↗