دانلود رایگان مقاله آنالیز توزیع مسافر برای زمان درک شده سوار شدن به هواپیما

عنوان فارسی
مدل تجزیه و تحلیل توزیع مسافر برای زمان درک شده سوار شدن به هواپیما / سوار نشدن هواپیما، با استفاده از یک توزیع گاوسی سابق
عنوان انگلیسی
A passenger distribution analysis model for the perceived time of airplane boarding/deboarding, utilizing an ex-Gaussian distribution
صفحات مقاله فارسی
0
صفحات مقاله انگلیسی
6
سال انتشار
2017
نشریه
الزویر - Elsevier
فرمت مقاله انگلیسی
PDF
کد محصول
مجله مدیریت حمل و نقل هوایی - Journal of Air Transport Management
رشته های مرتبط با این مقاله
علوم فنون هوایی
مجله
مجله مدیریت حمل و نقل هوایی - Journal of Air Transport Management
دانشگاه
گروه کسب و کار، موسسه تحقیقات میتسوبیشی، ژاپن
کلمات کلیدی
درک زمان، شبانه روزی هواپیما، توزیع گاوسی سابق
چکیده

abstract


This study focused on modeling the perceived time of boarding/deboarding. We conducted an experiment to understand how passengers in the study assessed boarding/deboarding times. According to the results of the analysis, the passenger distribution that took a ratio between perceived time and measured time as a variable was positively skewed. This distribution indicated that the proportion of the passengers for whom perceived time was longer than measured time varied depending on the experimental conditions. Based on this analysis, we have employed an ex-Gaussian distribution to develop a model. The model has revealed that the parameter t, which expressed the length of the ex-Gaussian distribution tail, varied depending on the load factor, seat pitch, and boarding/deboarding methods. By changing these factors, it will be possible to shorten perceived time for certain passengers whose perceived time of boarding/deboarding is longer than measured time.

نتیجه گیری

4. Discussion In the field of experimental psychology, time perception refers to the time interval that is estimated by one's own perception. Numerous studies have been conducted in this field, and several models have been constructed and proposed on the basis of the experimental results. For example, in the change model, a participant's internal clock changes depending on their metabolism (Hoagland, 1933, 1981); in the storage size model, perceived time changes depending on the amount of information stored in the participant's memory (Ornstein, 1969); and in the attention model, perceived time changes depending on the attention distribution for the time and the non-time information processing systems (Thomas and Canter, 1975, 1976; Thomas and Weaver, 1975). There is also the four multiplicative factor model (Matsuda, 1996), which is given by equation (2); this model is an integration of the aforementioned models. In this model, the duration of perceived time (T) can be expressed by multiplying 1) elapsed time (t) with 2) the frequency of the tempo of the internal clock (f), 3).


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