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Modeling passenger comfort in turboprop aircraft using objective measures
Yu Wolf Song1, Anna S Reichherzer2,3, Xinhe Yao1
1Faculty of Industrial Design Engineering, Delft University of Technology, Delft, The Netherlands.
Work (Reading, Mass.)
|August 2, 2024
Summary
Developing quantitative comfort models for turboprop passengers using objective data. Key factors influencing passenger comfort include anthropometry, seat position, flight duration, and cabin noise.
Area of Science:
- Aviation Human Factors
- Ergonomics
- Predictive Modeling
Background:
- Evaluating passenger comfort in turboprop aircraft is crucial for improving travel experience.
- Developing quantitative comfort models presents significant challenges due to the complex nature of the phenomenon.
Purpose of the Study:
- To present quantitative comfort models for predicting passenger (dis)comfort on turboprop flights.
- To utilize objective measures for assessing passenger comfort levels.
Main Methods:
- Conducted two experiments with 97 participants on real turboprop flights.
- Recorded environmental and personal factors for 40 participants using specialized measurement tools.
- Analyzed collected data to establish relationships between objective measures and subjective comfort feelings.
Main Results:
- Developed two preliminary models using gradient boosting regression.
- Achieved prediction accuracy of 0.12±0.01 for comfort and 0.21±0.01 for discomfort scores.
- Identified key contributing factors influencing passenger comfort and discomfort.
Conclusions:
- The developed models represent a significant advancement in objectively modeling the human comfort experience.
- Anthropometry (including age), seat position, flight duration, and row (noise) were identified as primary determinants of (dis)comfort.
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