Ride Quality Assessment III: Questionnaire Results of a Second Flight Programme

Richards, Larry G.; Jacobson, I. D.

doi:10.1080/00140137708931659

Cited by 33 publications

(16 citation statements)

References 3 publications

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“…The importance of legroom is found in other studies as well (Blok et al, 2007;Richards and Jacobson, 1977) and it is the most important factor related to comfort. Less legroom results in lower comfort ratings, especially for taller people.…”

Section: Discussionmentioning

confidence: 75%

The aircraft interior comfort experience of 10,032 passengers

Vink¹,

Mastrigt²

2011

Proceedings of the Human Factors and Ergonomics Society Annual

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One airline strategy aimed at selling more tickets is to provide a superior comfort experience. However, only a small amount of public scientific information is available addressing the passenger's opinion on comfort. In this study, 10,032 internet trip reports were used to gather opinions about aspects which need to be improved in order to design a more comfortable aircraft interior. The results show clear relationships between comfort and leg room, hygiene, crew attention and seat. Passengers rate the newer planes significantly better than older ones, indicating that attention to design for comfort has proven effective. The study also shows that rude flight attendants and bad hygiene reduce the comfort experience drastically.

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Section: Discussionmentioning

confidence: 75%

The aircraft interior comfort experience of 10,032 passengers

Vink¹,

Mastrigt²

2011

Proceedings of the Human Factors and Ergonomics Society Annual

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show abstract

“…Furthermore a survey conducted at 36 large Brazilian airports found that major discomforts during air travel were related to seat and cabin space (Greghi, Rossi, de Souza, & Menegon, 2013). The importance of seat pitch for comfort was found in other studies as well (Blok & Vink, 2007;Richards & Jacobson, 1977;Vink & Brauer, 2011) and it is one of the most important factors related to comfort .…”

mentioning

confidence: 70%

Predicting aircraft seat comfort using an artificial neural network

Zhao

Miller³

et al. 2018

Hum Ftrs & Erg Mfg Svc

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Aircraft seat pitch is one of the most important factors affecting passengers ability to sit comfortably for a longer time on the plane. The purpose of this study was to illustrate the association between different seat pitches and overall comfort index, and seat‐interface pressure variables as well as try to predict aircraft seat comfort. Through an experimental study, 11 subjects (age, 26.3 ± 1.6; height, 169.8 ± 8.5; body mass, 65.1 ± 15.6) rated five different seat pitch settings (55 examples, 11 participants and five scenarios). Descriptive statistics, together with one‐way analysis of variance were used to determine which of the metrics could be used to distinguish the overall comfort index. The results show that overall comfort index was statistically significant (p < 0.05) between different seat pitches, but there was no statistically significant difference (p > 0.05) in interface pressure variables. In addition, a multilayer feed forward neural network with one hidden layer was proposed with the help of Matlab Neural Network Toolbox. The model explained 99% of the variance in overall comfort index with the root mean square error (RMSE) of 0.12551. The remainder of the total data was used for validation purposes; the correlation is r = 0.775, p < 0.01, and the RMSE is 1.21031. That suggests this model has a significant relationship between the actual and predicted overall comfort index.

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“…Since Richards and Jacobson (1975) first proposed the term passenger comfort in aircraft cabin, very little research has been published on this issue. Some scholars have conducted empirical studies that focus on the influencing factors and processes for generating passenger comfort in aircraft cabins (Jacobson & Richards, 1976;Richards & Jacobson, 1975, 1977Vink & Brauer, 2011). Others have studied the relationship between passenger comfort and influencing factors (Kolich, Seal, & Taboun, 2004;Voisin & Levrat, 2001).…”

Section: Introductionmentioning

confidence: 99%

Identifying and analyzing critical factors impacting on passenger comfort employing a hybrid model

Liu

Chu

et al. 2017

Hum Ftrs & Erg Mfg Svc

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With the increase in air travel, comfort is becoming an important issue with which airlines differentiate themselves in a competitive market. Passengers are paying more attention to their comfort experience during flights. However, passenger comfort is affected by various factors that result from the complex cabin system. Besides, the factors have interrelations between one another. How to identify the key factors and comb through their interrelations to improve passenger comfort efficiently is a critical problem in cabin design. To solve this problem, a hybrid model is proposed to identify the key factors and discuss the interrelation between them based on the questionnaire data. First, factor analysis is conducted to segment complex influencing factors into groups and to extract the most important factors. Decision Making Trial and Evaluation Laboratory (DEMATEL) method and fuzzy set theory are combined in the next analysis, considering both the interrelation between factors and the fuzziness of subjective comfort perception concurrently. It forms a structural model and then visualizes the causal relationships among factors through a causal diagram. The results of an empirical study show that the proposed model is capable of identifying the critical factors that affect passenger comfort effectively and could offer a priority of factors to improve passenger comfort.

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Ride Quality Assessment III: Questionnaire Results of a Second Flight Programme

Cited by 33 publications

References 3 publications

The aircraft interior comfort experience of 10,032 passengers

The aircraft interior comfort experience of 10,032 passengers

Predicting aircraft seat comfort using an artificial neural network

Identifying and analyzing critical factors impacting on passenger comfort employing a hybrid model

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