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Third party risk modelling of Unmanned Aircraft System operations, with application to parcel delivery service

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  • Blom, Henk A.P.
  • Jiang, Chenpeng
  • Grimme, Wouter B.A.
  • Mitici, Mihaela
  • Cheung, Yuk S.

Abstract

Commercial aviation distinguishes three indicators for third party risk (TPR): i) Expected number of ground fatalities per aircraft flight hour; ii) Individual risk; and iii) Societal risk. The latter two indicators stem from TPR posed to population by operation of hazardous installations. Literature on TPR of Unmanned Aircraft System (UAS) operations have focused on the development of the first TPR indicator. However the expected increase of commercial UAS operations requires an improved understanding of third party risk (TPR). To support such improvement, this paper extends the existing TPR model for UAS operations with societal and individual risk indicators. The extension is developed both at modelling level and at assessment level. Subsequently the extended approach is applied to a hypothetical UAS based parcel delivery service in the city of Delft. The results obtained for the novel UAS TPR indicators show that this aligns commercial UAS operations with land use policies and standing TPR regulation for airports and hazardous facilities.

Suggested Citation

  • Blom, Henk A.P. & Jiang, Chenpeng & Grimme, Wouter B.A. & Mitici, Mihaela & Cheung, Yuk S., 2021. "Third party risk modelling of Unmanned Aircraft System operations, with application to parcel delivery service," Reliability Engineering and System Safety, Elsevier, vol. 214(C).
    • Handle: RePEc:eee:reensy:v:214:y:2021:i:c:s0951832021003124
    DOI: 10.1016/j.ress.2021.107788
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    References listed on IDEAS

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    1. Melnyk, Richard & Schrage, Daniel & Volovoi, Vitali & Jimenez, Hernando, 2014. "A third-party casualty risk model for unmanned aircraft system operations," Reliability Engineering and System Safety, Elsevier, vol. 124(C), pages 105-116.
    2. Anders la Cour‐Harbo & Henrik Schiøler, 2019. "Probability of Low‐Altitude Midair Collision Between General Aviation and Unmanned Aircraft," Risk Analysis, John Wiley & Sons, vol. 39(11), pages 2499-2513, November.
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    Cited by:

    1. Sun, Xuting & Hu, Yue & Qin, Yichen & Zhang, Yuan, 2024. "Risk assessment of unmanned aerial vehicle accidents based on data-driven Bayesian networks," Reliability Engineering and System Safety, Elsevier, vol. 248(C).
    2. Dai, Wei & Quek, Zhi Hao & Low, Kin Huat, 2024. "Probabilistic modeling and reasoning of conflict detection effectiveness by tracking systems towards safe urban air mobility operations," Reliability Engineering and System Safety, Elsevier, vol. 244(C).
    3. Pang, Bizhao & Hu, Xinting & Dai, Wei & Low, Kin Huat, 2022. "UAV path optimization with an integrated cost assessment model considering third-party risks in metropolitan environments," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
    4. Zhong, Gang & Du, Sen & Zhang, Honghai & Zhou, Jiangying & Liu, Hao, 2024. "Demarcation method of safety separations for sUAV based on collision risk estimation," Reliability Engineering and System Safety, Elsevier, vol. 242(C).

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