Design for Ride Quality – Knowledge Transfer of Advanced Dynamics of Passenger Transportation Systems in Buildings for a Multi-cultural/Multi-discipline R&D Environment

  • Thomas Ehrl

Student thesis: Doctoral Thesis

Abstract

This research study combines two comprehensive subjects. It considers novel knowledge about advanced machine dynamics of cabins of multi-car Passenger Transportation Systems (PTS) and the interaction of learning preferences and modern communication channels to propose a state-of-the-art concept for a Distance Learning setting for engineering staff of a global engineering workforce.

The project includes a comprehensive analysis of influencing design factors to the perceived performance (noise and vibration) of a lift system, while the second focal area of the research considers concepts of knowledge transfer, the substantial examination of higher engineering education principles and the impact of learning styles to improve the learning performance of adult learners.

The objectives of the research project are located in the intersection between the knowledge transfer process and novel (machine dynamics) knowledge. The particular research study is made up of a blend of research methods: The critical literature review as a common practice, and causal-comparative & descriptive research, which involves the collection of information through questionnaires, interviews or observation, and a general comparison attempt to identify a cause-effect relationship between two or more groups.

Although initially based on detail observations in an international engineering training set-up and well thought out, the research project aim to verify the direct impact of a cultural background of the individual socialization to the specific learning preferences came to nothing. Hence, instead of a country/regional perspective, the research focus moved towards an individual approach based on the concept of learning preferences independently from the cultural background. In this connection, different aspects of Social Networking and Social Media were added to the project scope, which in some way stimulated the research project. As a result of the comprehensive and time-consuming research project, important factors for efficient & effective transfer strategies for advanced machine dynamics knowledge in an intricate environment were elaborated.

Those complementing factors are put into a compelling perspective and a depending relationship and therewith offer a new concept for effective & efficient contemporary Distance Learning environments and adult engineering education, under the consideration of much more than just the application of e-learning or latest digital technology.

The research efforts result in a novel Knowledge Transfer model and are highly significant, as the findings demonstrate the clear implication to the future concept design of learning courses to enhance higher engineering education in a multi-cultural/multi-discipline R&D environment.

Hence, this study outlines some of the issues around Knowledge Transfer of Advanced Dynamics of Passenger Transportation Systems in Buildings and concludes with a proposal for a Distance Study set-up for a Multi-cultural/Multi-discipline R&D Environment. Thereby, this novel concept has game changing potential for appropriate and modern 21st century learning.
Date of AwardOct 2022
Original languageEnglish
SupervisorStefan Kaczmarczyk (Supervisor), Jonathan Adams (Supervisor) & Benedikt Meier (Supervisor)

Keywords

  • Ride Quality
  • Instructional Design
  • Learning Preferences
  • Social Network
  • Distance Learning

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