EXPERIMENTAL DESIGNS AND PSYCHOMETRIC TECHNIQUES FOR THE STUDY OF RIDE QUALITY
A major variable in both the cost of any new transportation system and rider acceptance of the system is the ride quality of its vehicles. At this time, there exists no set of objective criteria which would allow the transportation system designer to determine what level of ride quality would be considered acceptable by a wide variety of potential passengers. The purpose of the study was to establish statistically acceptable techniques for the development of methods for relating physical measures of vehicle vibration to passenger estimates of ride quality.
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Supplemental Notes:
- Prepared in cooperation with Human Sciences Research, Inc., McLean, Va. Sponsored by the Office of the Secretary, Office for Systems Development and Technology, Office of Systems Engineering, U.S. DOT.
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Corporate Authors:
ENSCO, Incorporated
5400 Port Royal Road
Springfield, VA United States 22151Human Sciences Research Incorporated
Westgate Industrial Park
McLean, VA United States 22101Transportation Systems Center
55 Broadway, Kendall Square
Cambridge, MA United States 02142 -
Authors:
- Havron, M D
- Westin, R A
- Publication Date: 1977-5
Media Info
- Pagination: 301 p.
Subject/Index Terms
- TRT Terms: Acceptance; Human factors; Instrumentation; Measurement; Passenger comfort; Perception; Planning; Psychometrics; Reliability; Ride quality; Simulation; Statistical analysis; Surveys; Systems engineering; Urban transportation; Validity; Vehicles; Vibration
- Uncontrolled Terms: Acceptability; Experimental design
- Old TRIS Terms: Scales psychology
- Subject Areas: Data and Information Technology; Planning and Forecasting; Public Transportation; Railroads; Safety and Human Factors; Society; Vehicles and Equipment;
Filing Info
- Accession Number: 00159325
- Record Type: Publication
- Source Agency: National Technical Information Service
- Report/Paper Numbers: DOT-TSC-OST-76-54 Final Rpt.
- Contract Numbers: DOT-TSC-864
- Files: NTIS, TRIS
- Created Date: Aug 31 1981 12:00AM