Turner M, Griffin M J, Holland I
Human Factors Research Unit, Institute of Sound and Vibration Research, University of Southampton, Southampton, England.
Aviat Space Environ Med. 2000 Dec;71(12):1181-9.
There is little quantitative information that can be used to predict the incidence of airsickness from the motions experienced in military or civil aviation. This study examines the relationship between low-frequency aircraft motion and passenger sickness in short-haul turboprop flights within the United Kingdom.
A questionnaire survey of 923 fare-paying passengers was conducted on 38 commercial airline flights. Concurrent measurements of aircraft motion were made on all journeys, yielding approximately 30 h of aircraft motion data.
Overall, 0.5% of passengers reported vomiting, 8.4% reported nausea (range 0% to 34.8%) and 16.2% reported illness (range 0% to 47.8%) during flight. Positive correlations were found between the percentage of passengers who experienced nausea or felt ill and the magnitude of low-frequency lateral and vertical motion, although neither motion uniquely predicted airsickness. The incidence of motion sickness also varied with passenger age, gender, food consumption and activity during air travel. No differences in sickness were found between passengers located in different seating sections of the aircraft, or as a function of moderate levels of alcohol consumption.
The passenger responses suggest that a useful prediction of airsickness can be obtained from magnitudes of low frequency aircraft motion. However, some variations in airsickness may also be explained by individual differences between passengers and their psychological perception of flying.
几乎没有定量信息可用于根据军事或民航飞行中的运动来预测晕机发生率。本研究考察了英国境内短途涡轮螺旋桨飞机航班中低频飞机运动与乘客晕机之间的关系。
对38趟商业航班上的923名付费乘客进行了问卷调查。在所有航班上同时测量飞机运动，获得了约30小时的飞机运动数据。
总体而言，0.5%的乘客报告在飞行过程中呕吐，8.4%报告恶心（范围为0%至34.8%），16.2%报告不适（范围为0%至47.8%）。经历恶心或感到不适的乘客百分比与低频横向和垂直运动的幅度之间存在正相关，尽管这两种运动都不能唯一预测晕机。晕机发生率也因乘客年龄、性别、飞行期间的食物摄入和活动情况而有所不同。位于飞机不同座位区域的乘客之间，或适度饮酒的情况下，晕机情况没有差异。
乘客的反应表明，可根据低频飞机运动幅度获得对晕机的有效预测。然而，晕机的一些差异也可能由乘客个体差异及其对飞行的心理认知来解释。
