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1
Providing Complete High-Level Overviews of Hospital Resilience Through Semi-Quantitative Stress Tests

von Marmo, Rossella ; Adey, Bryan T.

2024 8th International Conference on System Reliability and Safety (ICSRS) System Reliability and Safety (ICSRS), 2024 8th International Conference on. :783-787 Nov, 2024
- Zum Volltext in IEEE Xplore
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2
Mapping cycling-specific infrastructure using object detection on remotely sensed images

von Zani, David ; Papini, Sebastiano ; Adey, Bryan T.

Transportation: Planning - Policy - Research - Practice. :1-20
- Zum Volltext (via ReDI)
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3
Improving the Planning of Future Track Interventions Using Digital Tools

von Mehranfar, Hamed ; Moghtadernejad, Saviz ; Adey, Bryan T. ; et al.

Transport Transitions: Advancing Sustainable and Inclusive Mobility : Proceedings of the 10th TRA Conference, 2024, Dublin, Ireland, Volume 5: Smart Resilient Infrastructure. :31-37
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4
Prioritizing simulation-based stress tests to assess the resilience of transport systems: a computation-free methodology

von Nasrazadani, Hossein ; Nogal, Maria ; Adey, Bryan T. ; et al.

Journal of Infrastructure Preservation and Resilience. 6(1)
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5
Fast-lane for planning cycling infrastructure: On the effectiveness and efficiency of cycling infrastructure planning processes

von Arnor Elvarsson ; David Zani ; Bryan T. Adey

Journal of Cycling and Micromobility Research, Vol 7, Iss , Pp 100103- (2026)

Schlagworte: Infrastructure development; Process analysis; Governance; Transport; Planning; Process improvement; Transportation and communications; HE1-9990
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6
Network-level cycling infrastructure cost and crash risk estimates in early planning stages: A Zurich case study

von Zani, David ; Adey, Bryan T.

In Case Studies on Transport Policy September 2026 25
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7
Where will the change come from? Identifying decision-relevant factors in future Land Use and Cover Change (LUCC) scenarios to support planning under uncertainty

von Roman, Orlando ; Adey, Bryan T. ; Black, Benjamin ; et al.

In Futures February 2026 176
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8
A novel ensemble learning framework for predicting the causes of water pipe failures

von Taiwo, Ridwan ; Zayed, Tarek ; Adey, Bryan T.

In Reliability Engineering and System Safety December 2025 264 Part A
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9
A VR Engineering Remote Collaboration Framework: The BIM to VR Pipeline

von Katsimpalis, Emmanouil ; Haas, Carl ; Adey, Bryan T. ; et al.

Advances in Information Technology in Civil and Building Engineering : Proceedings of ICCCBE 2024 - Volume 1: Modeling and Scheduling. 628:702-709
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10
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- Zur Referenz in Web of Science
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11
Strategic planning of charging infrastructure for shared electric vehicles: A multi-phase stochastic approach using reinforcement learning

von Ye, Qiming ; Bansal, Prateek ; Adey, Bryan T.

In Sustainable Cities and Society 1 October 2025 133
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12
Research paradigms and scales of asphalt pavement skid resistance evaluation: A review

von Zihang Weng ; Chenglong Liu ; Yuchuan Du ; et al.

Friction, Vol 14, Iss 2, p 9441082 (2026)

Schlagworte: asphalt pavement; skid resistance evaluation; research paradigms; measurement and modeling; Mechanical engineering and machinery; TJ1-1570
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13
Stress testing hospitals using service measures and resilience indicators

von Marmo, Rossella ; Adey, Bryan T. ; Celentano, Giulia

In International Journal of Disaster Risk Reduction 1 June 2025 123
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14
Explainable deep learning models for predicting water pipe failures

von Taiwo, Ridwan ; Zayed, Tarek ; Bakhtawar, Beenish ; et al.

In Journal of Environmental Management April 2025 379
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15
Swiss highway project cost estimate performance: Deviations from norms and expected trends

von Zani, David ; Adey, Bryan T.

In Case Studies on Transport Policy March 2025 19
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16
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17
An approach to support reference class forecasting when adequate project data are unavailable

von Zani, David ; Adey, Bryan T. ; Carroll, Simon

In Results in Engineering June 2024 22
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18
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19
Implicit supervision for fault detection and segmentation of emerging fault types with Deep Variational Autoencoders

von Chao, Manuel Arias ; Adey, Bryan T. ; Fink, Olga

Schlagworte: Computer Science - Machine Learning; Statistics - Machine Learning
- View full text via Arxiv
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20
Enhancing Railway Track Intervention Planning: Accounting for Component Interactions and Evolving Failure Risks

von Hamed Mehranfar ; Bryan T. Adey ; Saviz Moghtadernejad ; et al.

Infrastructures ; Volume 10 ; Issue 5 ; Pages: 126

Schlagworte: infrastructure management; railway systems; digitalisation; deterioration modelling; maintenance planning; intervention strategies
- View full text via BASE
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21
Wider view over bicycle crashes: Complementing and extending bicycle crash statistics in urban areas using surveys

von Ringel, Laura ; Kielhauser, Clemens ; Adey, Bryan T.

In Journal of Safety Research December 2023 87:217-231
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22
Improving the decision-making and planning of future railway bridge interventions through digitalisation.

von Chuo, Steven ; Mehranfar, Hamed ; Adey, Bryan T.

Structure & Infrastructure Engineering: Maintenance, Management, Life-Cycle Design & Performance; May/Jun2026, Vol. 22 Issue 5/6, p1076-1094, 19p

Schlagworte: BUILDING information modeling; PREDICTION algorithms; SCHEDULING; BUSINESS communication; RAILROAD bridges; PLANNING techniques; DECISION making; DIGITAL technology
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23
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24
Generation of Spatially Embedded Random Networks to Model Complex Transportation Networks

von Hackl, Jürgen ; Adey, Bryan T.

In 14th International Probabilistic Workshop (pp. 217-230). Springer International Publishing (2017)

Schlagworte: Physics - Physics and Society
- View full text via Arxiv
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25
Implicit supervision for fault detection and segmentation of emerging fault types with Deep Variational Autoencoders

von Arias Chao, Manuel ; Adey, Bryan T. ; Fink, Olga

In Neurocomputing 24 September 2021 454:324-338
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