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2025 | OriginalPaper | Buchkapitel

21. Evaluation of UAS-Based Service Business Models for Road Surface Monitoring

verfasst von : D. Szilágyi, D. Sziroczák, Utku Kale, E. Özbek, M. Ayar, T. Hikmet Karakoç

Erschienen in: Energy and Sustainable Aviation Fuels Solutions

Verlag: Springer Nature Switzerland

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Abstract

Drones are being used in various applications, such as monitoring and data collection tasks. It has already been demonstrated that taking photos, videos, or collecting data even autonomously along a predefined path is not just possible. Drones are still particularly well suited and efficient at it. However, more feasibility is needed to make a business based on that application viable in the market. This chapter investigates whether unmanned aerial system (UAS)-based road surface monitoring and object detection are competent in today’s business environment, especially in Hungary and Turkey. The approach involved listing the potential business models that could be adopted, and then they were evaluated by experts using criteria relevant to the drone market. The chosen eight business aspects were considered with equal weight, and the highest-scoring idea was providing processed data about sections of interest to the customers. This model had the highest potential because the company can focus on the efficient collection of data, with the possibility to secure recurring inspection activity assignments that would provide a stable, plannable income.

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Literatur
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Zurück zum Zitat Joyce, K. E., Duce, S., Leahy, S. M., Leon, J., & Maier, S. W. (2018). Principles and practice of acquiring drone-based image data in marine environments. Marine and Freshwater Research, 70(7), 952–963.CrossRef Joyce, K. E., Duce, S., Leahy, S. M., Leon, J., & Maier, S. W. (2018). Principles and practice of acquiring drone-based image data in marine environments. Marine and Freshwater Research, 70(7), 952–963.CrossRef
Zurück zum Zitat Kim, D. (2020). Pedestrian and bicycle volume data collection using drone technology. Journal of Urban Technology, 27(2), 45–60.CrossRef Kim, D. (2020). Pedestrian and bicycle volume data collection using drone technology. Journal of Urban Technology, 27(2), 45–60.CrossRef
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Zurück zum Zitat Tang, L., & Shao, G. (2015). Drone remote sensing for forestry research and practices. Journal of Forestry Research, 26, 791–797.CrossRef Tang, L., & Shao, G. (2015). Drone remote sensing for forestry research and practices. Journal of Forestry Research, 26, 791–797.CrossRef
Metadaten
Titel
Evaluation of UAS-Based Service Business Models for Road Surface Monitoring
verfasst von
D. Szilágyi
D. Sziroczák
Utku Kale
E. Özbek
M. Ayar
T. Hikmet Karakoç
Copyright-Jahr
2025
DOI
https://doi.org/10.1007/978-3-031-70694-3_21