Inbunden, Engelska, 2025
Investigating Transport Accidents
Human Performance and Intelligent Systems
Av Dimitrios Ziakkas, Debra Henneberry
1119 kr
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Beskrivning
Produktinformation
- Utgivningsdatum: 2025-11-06
- Mått: 138 x 216 x 17 mm
- Vikt: 490 g
- Format: Inbunden
- Språk: Engelska
- Antal sidor: 160
- Förlag: Taylor & Francis Ltd
- ISBN: 9781041153160
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Dimitrios Ziakkas is an Assistant Professor in the School of Aviation and Transportation Technology at Purdue University, Indiana, USA. He is an Airbus captain, instructor and examiner with current A-320, A-330/350, A-340 type ratings. A cross-cultural communicator, global citizen, and innovator, Dimitrios has over 30 years of experience in military and civil aviation operations worldwide, integrating manpower planning – selection and recruitment aviation practices in multi-disciplinary research programs. His professional background is diverse, from history and the humanities to engineering and science, concerned not only with the history of aviation technological devices and processes but also with technology in history (the relationship of aviation technology to politics, economics, science, the arts, and the organization of production) and with the role it plays in the differentiation of individuals in society.Debra Henneberry is an Assistant Professor at Purdue University College of Aviation and Transportation Technology, Indiana, USA. She's an experienced commercial pilot, flight instructor, and aeronautics professor. Before her current role, she served as an Assistant Professor in the Aviation Department at Vaughn College of Aeronautics and Technology in New York City. She also served as a government administrator for several years. Dr. Henneberry has been a first responder and emergency medical technician for over ten years. Her research interests focus on human factors, and she has spoken about pilot training in several international aviation psychology programs.
Recensioner i media
Reveals an integrated framework that combines traditional human performance analysis with AI capabilities, transforming how transport accidents are investigated beyond linear causation modelsExplores the MAHCO model that supports transparent decision-making and institutional learning while creating intelligent safety ecosystems for accident preventionShowcases practical applications of AI-enabled tools including digital twins, weak signal detection, pattern recognition, and data fusion platforms that enhance detection of failure precursorsOffers comprehensive insights into the links between human factors, automation, hardware, contextual variables, and organizational elements that determine safety outcomes in transportation systemsAccesses methodologies that serve multiple audiences, from accident investigators and safety managers to engineers, policy-makers, researchers, students, and frontline transportation professionals
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