Cost Efficiency and Effectiveness of Drone Applications in Bridge Condition Monitoring
Bridges are an integral and important part of road networks, but monitoring their condition using traditional methods is expensive, dangerous, and laborious. This study examines the rapidly emerging field of drone-based transportation asset monitoring, focusing on analyzing the cost efficiency and e...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-03-01
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| Series: | Infrastructures |
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| Online Access: | https://www.mdpi.com/2412-3811/10/3/63 |
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| _version_ | 1849343187770933248 |
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| author | Taraneh Askarzadeh Raj Bridgelall |
| author_facet | Taraneh Askarzadeh Raj Bridgelall |
| author_sort | Taraneh Askarzadeh |
| collection | DOAJ |
| description | Bridges are an integral and important part of road networks, but monitoring their condition using traditional methods is expensive, dangerous, and laborious. This study examines the rapidly emerging field of drone-based transportation asset monitoring, focusing on analyzing the cost efficiency and effectiveness of drone applications in bridge condition monitoring. This research innovated a multi-dimensional framework that highlights the transformative role of drone technology in enhancing inspection accuracy, safety, and cost savings. Using statistical models and Monte Carlo simulations, the framework provides an extensive cost–benefit analysis to inform drone investment decisions. A case study demonstrates the utility of the framework in quantifying costs and benefits. Furthermore, a sensitivity analysis evaluates how variations in drone costs, driven by technological progress, can potentially influence adoption of the technology. |
| format | Article |
| id | doaj-art-73c343b2f5924f9a92618edf4a4dfadc |
| institution | Kabale University |
| issn | 2412-3811 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Infrastructures |
| spelling | doaj-art-73c343b2f5924f9a92618edf4a4dfadc2025-08-20T03:43:03ZengMDPI AGInfrastructures2412-38112025-03-011036310.3390/infrastructures10030063Cost Efficiency and Effectiveness of Drone Applications in Bridge Condition MonitoringTaraneh Askarzadeh0Raj Bridgelall1Department of Transportation and Supply Chain, College of Business, North Dakota State University, P.O. Box 6050, Fargo, ND 58108-6050, USADepartment of Transportation and Supply Chain, College of Business, North Dakota State University, P.O. Box 6050, Fargo, ND 58108-6050, USABridges are an integral and important part of road networks, but monitoring their condition using traditional methods is expensive, dangerous, and laborious. This study examines the rapidly emerging field of drone-based transportation asset monitoring, focusing on analyzing the cost efficiency and effectiveness of drone applications in bridge condition monitoring. This research innovated a multi-dimensional framework that highlights the transformative role of drone technology in enhancing inspection accuracy, safety, and cost savings. Using statistical models and Monte Carlo simulations, the framework provides an extensive cost–benefit analysis to inform drone investment decisions. A case study demonstrates the utility of the framework in quantifying costs and benefits. Furthermore, a sensitivity analysis evaluates how variations in drone costs, driven by technological progress, can potentially influence adoption of the technology.https://www.mdpi.com/2412-3811/10/3/63autonomous aircraftdata miningasset managementdrone-based monitoringcost-efficient bridge inspectionMonte Carlo simulation |
| spellingShingle | Taraneh Askarzadeh Raj Bridgelall Cost Efficiency and Effectiveness of Drone Applications in Bridge Condition Monitoring Infrastructures autonomous aircraft data mining asset management drone-based monitoring cost-efficient bridge inspection Monte Carlo simulation |
| title | Cost Efficiency and Effectiveness of Drone Applications in Bridge Condition Monitoring |
| title_full | Cost Efficiency and Effectiveness of Drone Applications in Bridge Condition Monitoring |
| title_fullStr | Cost Efficiency and Effectiveness of Drone Applications in Bridge Condition Monitoring |
| title_full_unstemmed | Cost Efficiency and Effectiveness of Drone Applications in Bridge Condition Monitoring |
| title_short | Cost Efficiency and Effectiveness of Drone Applications in Bridge Condition Monitoring |
| title_sort | cost efficiency and effectiveness of drone applications in bridge condition monitoring |
| topic | autonomous aircraft data mining asset management drone-based monitoring cost-efficient bridge inspection Monte Carlo simulation |
| url | https://www.mdpi.com/2412-3811/10/3/63 |
| work_keys_str_mv | AT taranehaskarzadeh costefficiencyandeffectivenessofdroneapplicationsinbridgeconditionmonitoring AT rajbridgelall costefficiencyandeffectivenessofdroneapplicationsinbridgeconditionmonitoring |